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CephalometricCell Object

Summary

The cell used to generate a cephalometric view of the 3D volume.

Syntax
TypeScript
JavaScript
function lt.Controls.Medical.CephalometricCell 
	extends lt.Controls.Medical.Derivative3D 
class lt.Controls.Medical.CephalometricCell() 
	extends Derivative3D 
Remarks

The cephalometric output is generated through server-side rendering using a server-side volume generated.

There are important considerations to take into account when generating panoramic output:

  1. Suitable Series. Use a cell containing a series suitable for generating a panoramic cell.
  2. 3D Volume with Suitable Series. Use the 3D engine Object3DEngine to generate the 3D volume using the same series instance UID loaded in the cell mentioned above.
  3. Engine Storage. Store the engine in Engine.
  4. Panoramic Output. Create an instance of this CephalometricCell class to hold the panoramic output.
  5. Panoramic Cell. Call the Layout property to add the panoramic cell to the Medical Viewer. This cell contains properties and methods needed to update and change the image's properties.

    CephalometricCell Object

Example

CephalometricCell.ts
CephalometricCell.js
MedicalViewer_MultiFrame_Example.ts
MedicalViewer_MultiFrame_Example.js
Copied to clipboard
import { MedicalViewer_MultiFrame_Example } from "../MedicalViewer_MultiFrame_Example"; 
 
export class Cephalometric_Example { 
   private viewerExample; 
   private medicalViewer; 
   constructor() { 
      this.viewerExample = new MedicalViewer_MultiFrame_Example(this.run); 
   } 
 
   private fillVolumeInfo(cell: lt.Controls.Medical.Cell): lt.Controls.Medical.Volume3DInformation { 
 
      if (!cell) 
         return; 
 
      if (!cell.frames || (cell.frames.count < 2)) 
         return; 
 
      var firstFrame: lt.Controls.Medical.Frame = cell.frames.get_item(0); 
 
      var lastFrame: lt.Controls.Medical.Frame = cell.frames.get_item(cell.frames.count - 1); 
 
      var width = firstFrame.width; 
      var height = firstFrame.height; 
      var rowspacing = firstFrame.rowSpacing; 
      var colSpacing = firstFrame.columnSpacing; 
      var firstPosition = lt.Controls.Medical.LeadPoint3D.create(firstFrame.imagePosition[0], firstFrame.imagePosition[1], firstFrame.imagePosition[2]); 
      var lastPostion = lt.Controls.Medical.LeadPoint3D.create(lastFrame.imagePosition[0], lastFrame.imagePosition[1], lastFrame.imagePosition[2]); 
      var orientation = firstFrame.imageOrientation; 
 
      return new lt.Controls.Medical.Volume3DInformation(orientation, firstPosition, lastPostion, rowspacing, colSpacing, width, height); 
   } 
 
   private run = (medicalViewer: lt.Controls.Medical.MedicalViewer, authenticationCode: string) => { 
      this.medicalViewer = medicalViewer; 
 
      // we are going to get the cell that contains the polygon in order to generate the panoramic cell. 
      var cell: lt.Controls.Medical.Cell = this.medicalViewer.layout.cells.get_item(0); 
      var _frame: lt.Controls.Medical.Frame = cell.frames.get_item(cell.currentOffset); 
      var engine3D: lt.Controls.Medical.Object3DEngine = new lt.Controls.Medical.Object3DEngine(cell.divID + "_3D_Volume"); 
      engine3D.info = this.fillVolumeInfo(cell); 
 
      var cephalometricCell: lt.Controls.Medical.CephalometricCell = new lt.Controls.Medical.CephalometricCell(medicalViewer, cell, cell.divID + "_Cephalometric"); 
      cephalometricCell.seriesInstanceUID = cell.seriesInstanceUID; 
      cephalometricCell.studyInstanceUID = cephalometricCell.studyInstanceUID + "_Cephalometric"; 
 
      var sliceFrame = new lt.Controls.Medical.SliceFrame(cephalometricCell, cephalometricCell.engine) 
 
      cephalometricCell.frameOfReferenceUID = cell.frameOfReferenceUID; 
 
      var currentFrame = cell.frames.get_item(cell.currentOffset); 
      sliceFrame.width = currentFrame.width; 
      sliceFrame.height = currentFrame.height; 
      sliceFrame.rowSpacing = currentFrame.rowSpacing; 
      sliceFrame.columnSpacing = currentFrame.columnSpacing; 
      //sliceFrame.JSON = currentFrame.JSON; 
      // add if null for fame JSON 
      cephalometricCell.frames.add(sliceFrame); 
 
      medicalViewer.layout.cells.add(cephalometricCell); 
 
 
      // this is the service name that will do the server side rendering. 
      var threed = "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/api/threed/"; 
 
      engine3D.add_request3DData(function (sender, args: lt.Controls.Medical.Request3DDataEventArgs) { 
 
         switch (args.type) { 
            case lt.Controls.Medical.Requested3DDataType.creationProgress: 
               { 
                  var request3DDataPost = new XMLHttpRequest(); 
                  request3DDataPost.onreadystatechange = function (data) { 
                     if (this.readyState == 4 && this.status == 200) { 
                        var percent = parseInt(JSON.parse(this.responseText)); 
                        if (engine3D.progress != 100) 
                           engine3D.progress = percent; 
                     } 
                  }; 
 
                  request3DDataPost.open("POST", threed + "CheckProgress", true); 
                  request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
 
                  var progressSettings = 
                  { 
                     authenticationCookie: authenticationCode, 
                     id: engine3D.id 
                  } 
 
                  request3DDataPost.send(JSON.stringify(progressSettings)); 
               } 
               break; 
 
            case lt.Controls.Medical.Requested3DDataType.create3DObject: 
               { 
                  var request3DDataPost = new XMLHttpRequest();; 
                  request3DDataPost.open("POST", threed + "Create3DObject", true); 
                  request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
 
                  var seriesInstanceUID = "1.3.12.2.1107.5.1.4.50772.30000009122208215356200001997" 
 
                  var create3DOptions = { 
                     authenticationCookie: authenticationCode, 
                     options: { PatientsOptions: {}, SeriesOptions: { SeriesInstanceUID: seriesInstanceUID }, StudiesOptions: {} }, 
                     id: engine3D.id, 
                     renderingType: 0, 
                     extraOptions: { UserData2: "1.3.12.2.1107.5.1.4.50772.30000009122208215356200002253" } 
                  }; 
 
                  request3DDataPost.send(JSON.stringify(create3DOptions)); 
               } 
               break; 
 
 
            case lt.Controls.Medical.Requested3DDataType.delete3DObject: 
               { 
                  var request3DDataPost = new XMLHttpRequest(); 
                  request3DDataPost.onreadystatechange = function (data) { }; 
 
                  request3DDataPost.open("POST", threed + "End3DObject", true); 
                  request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
 
                  var endObjectSettings = 
                  { 
                     authenticationCookie: authenticationCode, 
                     id: engine3D.id 
                  } 
 
                  request3DDataPost.send(JSON.stringify(endObjectSettings)); 
               } 
 
            case lt.Controls.Medical.Requested3DDataType.none: 
               { 
                  var request3DDataPost = new XMLHttpRequest(); 
                  var json = JSON.parse(args.JSON); 
                  var widthCurve = json['widthCurve']; 
                  var heightCurve = json['heightCurve']; 
                  var polygonInfo = JSON.stringify(json['polygonInfo']); 
 
 
                  var generateSliceData = { 
                     authenticationCookie: authenticationCode, 
                     id: engine3D.id, 
                     widthCurve: widthCurve, 
                     heightCurve: heightCurve, 
                     polygonInfo: polygonInfo 
                  }; 
 
                  request3DDataPost.onreadystatechange = function (result: any) { 
 
                     if (this.readyState == 4 && this.status == 200) { 
                        var url = this.responseText; 
                        cephalometricCell.frames.get_item(0).URI = threed + "Get3DSlice?auth=" + encodeURIComponent(authenticationCode) + "&url=" + url + "&fileName="; 
                     } 
                  }; 
 
                  request3DDataPost.open("POST", threed + "Generate3DSlice", true); 
                  request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
                  request3DDataPost.send(JSON.stringify(generateSliceData)); 
               } 
               break; 
         } 
 
      }); 
 
      engine3D.add_statusChanged(function (sender, args: lt.Controls.Medical.StatusChangedEventArgs) { 
 
         switch (args.status) { 
            case lt.Controls.Medical.Object3DStatus.ready: 
 
               var info: any = _frame.information.clone(); 
 
               info.bitsPerPixel = _frame.information.bitsPerPixel; 
               info.photometricInterpretation = _frame.information.photometricInterpretation; 
               info.windowWidth = 0xffff; 
               info.windowCenter = info.windowWidth >> 1; 
               info.minValue = 0; 
               info.maxValue = 0xffff; 
               info.lowBit = 0; 
               info.highBit = 15; 
               info.autoScaleSlope = 1; 
               info.autoScaleIntercept = 0; 
               info.signed = 0; 
 
               cephalometricCell.frames.get_item(0).set_information(info); 
               break; 
         } 
 
      }); 
 
      cephalometricCell.engine = engine3D; 
 
      engine3D.start("", cell.studyInstanceUID, cell.seriesInstanceUID); 
   } 
} 
Copied to clipboard
import { MedicalViewer_MultiFrame_Example } from "../MedicalViewer_MultiFrame_Example"; 
 
export class Cephalometric_Example { 
    constructor() { 
        var _this = this; 
        this.run = function (medicalViewer, authenticationCode) { 
            _this.medicalViewer = medicalViewer; 
            // we are going to get the cell that contains the polygon in order to generate the panoramic cell. 
            var cell = _this.medicalViewer.layout.cells.get_item(0); 
            var _frame = cell.frames.get_item(cell.currentOffset); 
            var engine3D = new lt.Controls.Medical.Object3DEngine(cell.divID + "_3D_Volume"); 
            engine3D.info = _this.fillVolumeInfo(cell); 
            var cephalometricCell = new lt.Controls.Medical.CephalometricCell(medicalViewer, cell, cell.divID + "_Cephalometric"); 
            cephalometricCell.seriesInstanceUID = cell.seriesInstanceUID; 
            cephalometricCell.studyInstanceUID = cephalometricCell.studyInstanceUID + "_Cephalometric"; 
            var sliceFrame = new lt.Controls.Medical.SliceFrame(cephalometricCell, cephalometricCell.engine); 
            cephalometricCell.frameOfReferenceUID = cell.frameOfReferenceUID; 
            sliceFrame.width = cell.frames.get_item(0).width; 
            sliceFrame.height = cell.frames.get_item(0).height; 
            sliceFrame.rowSpacing = cell.frames.get_item(0).rowSpacing; 
            sliceFrame.columnSpacing = cell.frames.get_item(0).columnSpacing; 
            sliceFrame.JSON = cell.frames.get_item(0).JSON; 
            cephalometricCell.frames.add(sliceFrame); 
            medicalViewer.layout.cells.add(cephalometricCell); 
 
            // this is the service name that will do the server side rendering. 
            var threed = "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/api/threed/"; 
 
            engine3D.add_request3DData(function (sender, args) { 
                switch (args.type) { 
                    case lt.Controls.Medical.Requested3DDataType.creationProgress: 
                        { 
                            var request3DDataPost = new XMLHttpRequest(); 
                            request3DDataPost.onreadystatechange = function (data) { 
                                if (this.readyState == 4 && this.status == 200) { 
                                    var percent = parseInt(JSON.parse(this.responseText)); 
                                    if (engine3D.progress != 100) 
                                        engine3D.progress = percent; 
                                } 
                            }; 
                            request3DDataPost.open("POST", threed + "CheckProgress", true); 
                            request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
                            var progressSettings = { 
                                authenticationCookie: authenticationCode, 
                                id: engine3D.id 
                            }; 
                            request3DDataPost.send(JSON.stringify(progressSettings)); 
                        } 
                        break; 
                    case lt.Controls.Medical.Requested3DDataType.create3DObject: 
                        { 
                            var request3DDataPost = new XMLHttpRequest(); 
                            ; 
                            request3DDataPost.open("POST", threed + "Create3DObject", true); 
                            request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
                            var seriesInstanceUID = "1.3.12.2.1107.5.1.4.50772.30000009122208215356200001997"; 
                            var create3DOptions = { 
                                authenticationCookie: authenticationCode, 
                                options: { PatientsOptions: {}, SeriesOptions: { SeriesInstanceUID: seriesInstanceUID }, StudiesOptions: {} }, 
                                id: engine3D.id, 
                                renderingType: 0, 
                                extraOptions: { UserData2: "1.3.12.2.1107.5.1.4.50772.30000009122208215356200002253" } 
                            }; 
                            request3DDataPost.send(JSON.stringify(create3DOptions)); 
                        } 
                        break; 
                    case lt.Controls.Medical.Requested3DDataType.delete3DObject: 
                        { 
                            var request3DDataPost = new XMLHttpRequest(); 
                            request3DDataPost.onreadystatechange = function (data) { }; 
                            request3DDataPost.open("POST", threed + "End3DObject", true); 
                            request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
                            var endObjectSettings = { 
                                authenticationCookie: authenticationCode, 
                                id: engine3D.id 
                            }; 
                            request3DDataPost.send(JSON.stringify(endObjectSettings)); 
                        } 
                    case lt.Controls.Medical.Requested3DDataType.none: 
                        { 
                            var request3DDataPost = new XMLHttpRequest(); 
                            var json = JSON.parse(args.JSON); 
                            var widthCurve = json['widthCurve']; 
                            var heightCurve = json['heightCurve']; 
                            var polygonInfo = JSON.stringify(json['polygonInfo']); 
                            var generateSliceData = { 
                                authenticationCookie: authenticationCode, 
                                id: engine3D.id, 
                                widthCurve: widthCurve, 
                                heightCurve: heightCurve, 
                                polygonInfo: polygonInfo 
                            }; 
                            request3DDataPost.onreadystatechange = function (result) { 
                                if (this.readyState == 4 && this.status == 200) { 
                                    var url = this.responseText; 
                                    cephalometricCell.frames.get_item(0).URI = threed + "Get3DSlice?auth=" + encodeURIComponent(authenticationCode) + "&url=" + url + "&fileName="; 
                                } 
                            }; 
                            request3DDataPost.open("POST", threed + "Generate3DSlice", true); 
                            request3DDataPost.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
                            request3DDataPost.send(JSON.stringify(generateSliceData)); 
                        } 
                        break; 
                } 
            }); 
            engine3D.add_statusChanged(function (sender, args) { 
                switch (args.status) { 
                    case lt.Controls.Medical.Object3DStatus.ready: 
                        var info = _frame.information.clone(); 
                        info.bitsPerPixel = _frame.information.bitsPerPixel; 
                        info.photometricInterpretation = _frame.information.photometricInterpretation; 
                        info.windowWidth = 0xffff; 
                        info.windowCenter = info.windowWidth >> 1; 
                        info.minValue = 0; 
                        info.maxValue = 0xffff; 
                        info.lowBit = 0; 
                        info.highBit = 15; 
                        info.autoScaleSlope = 1; 
                        info.autoScaleIntercept = 0; 
                        info.signed = 0; 
                        cephalometricCell.frames.get_item(0).set_information(info); 
                        break; 
                } 
            }); 
            cephalometricCell.engine = engine3D; 
            engine3D.start("", cell.studyInstanceUID, cell.seriesInstanceUID); 
        }; 
        this.fillVolumeInfo = function (cell) { 
            if (!cell) 
                return; 
            if (!cell.frames || (cell.frames.count < 2)) 
                return; 
            var firstFrame = cell.frames.get_item(0); 
            var lastFrame = cell.frames.get_item(cell.frames.count - 1); 
            var width = firstFrame.width; 
            var height = firstFrame.height; 
            var rowspacing = firstFrame.rowSpacing; 
            var colSpacing = firstFrame.columnSpacing; 
            var firstPosition = lt.Controls.Medical.LeadPoint3D.create(firstFrame.imagePosition[0], firstFrame.imagePosition[1], firstFrame.imagePosition[2]); 
            var lastPostion = lt.Controls.Medical.LeadPoint3D.create(lastFrame.imagePosition[0], lastFrame.imagePosition[1], lastFrame.imagePosition[2]); 
            var orientation = firstFrame.imageOrientation; 
            return new lt.Controls.Medical.Volume3DInformation(orientation, firstPosition, lastPostion, rowspacing, colSpacing, width, height); 
        }; 
        this.viewerExample = new MedicalViewer_MultiFrame_Example(this.run); 
    } 
} 
Copied to clipboard
export class MedicalViewer_MultiFrame_Example { 
   // LEADTOOLS ImageViewer to be used with this example 
   protected medicalViewer: lt.Controls.Medical.MedicalViewer = null; 
   // Generic state value used by the examples 
   public timesClicked: number = 0; 
   public authenticationCode: string = ""; 
 
   constructor(callback?: (medicalViewer: lt.Controls.Medical.MedicalViewer, authenticationCode: string) => void) { 
      // Set the LEADTOOLS license. Replace this with your actual license file 
      lt.RasterSupport.setLicenseUri("https://demo.leadtools.com/licenses/js/LEADTOOLSEVAL.txt", "EVAL", null); 
 
      // Create an image viewer inside the imageViewerDiv element 
      const imageViewerDiv: HTMLDivElement = <HTMLDivElement>document.getElementById("imageViewerDiv"); 
      const createOptions: lt.Controls.ImageViewerCreateOptions = new lt.Controls.ImageViewerCreateOptions(imageViewerDiv); 
 
 
 
      var aspPath = "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/"; 
 
      this.medicalViewer = new lt.Controls.Medical.MedicalViewer(imageViewerDiv, 2, 2); 
      this.medicalViewer.onSizeChanged(); 
 
      var cell = new lt.Controls.Medical.Cell(this.medicalViewer, null, 1, 1); 
 
      // Set the show border to "true", to show a border around the cell.  
      cell.set_showFrameBorder(true); 
 
      // Add the cell to the viewer.   
      this.medicalViewer.layout.get_items().add(cell); 
 
      // [optional] Select the cell (it can also be selected by clicking on it.)  
      cell.set_selected(true); 
 
      cell.fullDownload = false; 
      cell.marginFramesCount = 3; 
 
      var self = this; 
 
      // we are now going to to download an image from leadtools medical viewer demo web site, you need to change this to download images from your database.  
      var xhttp = new XMLHttpRequest(); 
      xhttp.onreadystatechange = function (data) { 
         if (this.readyState == 4 && this.status == 200) { 
            // here we got the authentication Code that we need to retrieve the images from leadtools database.  
 
            self.authenticationCode = this.responseText; 
            var encodedAuthenticationCode = self.authenticationCode; 
 
            // we get here the object retrieve address that points to a service that retireves the information and the images from the server. 
            var objectRetrieveAddress = aspPath + "api/retrieve"; 
            var objectRetrieveQueryAddress = aspPath + "api/query"; 
 
            var studyInstanceUID = "1.3.12.2.1107.5.1.4.50772.30000009122208074910900000022"; 
            // this is the series instance UID that contains all the frames that will be retrieved. 
            var seriesInstanceUID = "1.3.12.2.1107.5.1.4.50772.30000009122208215356200001997" 
 
            cell.seriesInstanceUID = seriesInstanceUID; 
            cell.studyInstanceUID = studyInstanceUID; 
 
            // we are generating the address for retrieving the instances information. 
            var queryArchive = objectRetrieveQueryAddress; 
            queryArchive += "/FindInstances"; 
 
 
            var getStackRequest = new XMLHttpRequest(); 
            getStackRequest.onreadystatechange = function (data) { 
               if (this.readyState == 4 && this.status == 200) { 
                  var json = JSON.parse(this.responseText); 
 
                  var instanceIndex = 0; 
 
                  // if instance count is zero, then the study doesn't exist on the server. 
                  var instanceCount = json.length; 
 
 
                  // add frames based on the size of the number of instances. 
                  for (instanceIndex = 0; instanceIndex < instanceCount; instanceIndex++) { 
                     var cellFrame = new lt.Controls.Medical.Frame(cell); 
                     cell.get_frames().add(cellFrame); 
                  } 
 
                  // loop through every frame, and prepare the data. 
                  for (instanceIndex = 0; instanceIndex < instanceCount; instanceIndex++) { 
 
                     cellFrame = cell.get_frames().get_item(instanceIndex); 
 
                     var pageInfo = json[instanceIndex].Pages[0]; 
 
                     cellFrame.imagePosition = pageInfo.ImagePositionPatientArray; 
 
                     cellFrame.imageOrientation = pageInfo.ImageOrientationPatientArray; 
 
 
                     if (pageInfo.PixelSpacingPatientArray != null && pageInfo.PixelSpacingPatientArray.length == 2) { 
                        cellFrame.set_rowSpacing(parseFloat(pageInfo.PixelSpacingPatientArray[1])); 
                        cellFrame.set_columnSpacing(parseFloat(pageInfo.PixelSpacingPatientArray[0])); 
                     } 
 
 
                     // now, this is the MRTI info that contains the image information, width, height, tiles....etc.  
                     var mrtiInfo = new lt.Controls.Medical.MRTIImage(); 
 
                     // The image dpi.  
                     mrtiInfo.fullDpi = lt.LeadSizeD.create(150, 150); 
 
                     // the tile size, recommended value is 256  
                     mrtiInfo.tileSize = lt.LeadSizeD.create(512, 512); 
                     mrtiInfo.frameIndex = 0; 
 
                     // does this image support window leve.  
                     mrtiInfo.supportWindowLevel = true; 
 
 
                     // different resolution for the image.  
                     var resolutions = [{ "width": 512, "height": 512 }, { "width": 256, "height": 256 }, { "width": 128, "height": 128 }, { "width": 64, "height": 64 }]; 
                     mrtiInfo.resolutions = []; 
                     for (var i = 0; i < resolutions.length; i++) { 
                        mrtiInfo.resolutions[i] = lt.LeadSizeD.create(resolutions[i].width, resolutions[i].height); 
                     } 
 
                     // the image width and height.  
                     cellFrame.set_width(mrtiInfo.resolutions[0].width); 
                     cellFrame.set_height(mrtiInfo.resolutions[0].height); 
 
                     // the image full size.  
                     mrtiInfo.fullSize = lt.LeadSizeD.create(cellFrame.get_width(), cellFrame.get_height()); 
 
                     // now we need the image URL,  
                     var imageUri = objectRetrieveAddress; 
                     imageUri += "/GetImageTile?auth="; 
                     imageUri += encodedAuthenticationCode; 
                     // this the image instance UID, change this if you want to retrieve anything else.  
                     imageUri += "&instance=" + json[instanceIndex].SOPInstanceUID; 
 
 
                     mrtiInfo.imageUri = imageUri; 
 
                     // set this info to the cell frame.  
                     cellFrame.mrtiInfo = mrtiInfo; 
 
 
                     // now we need to set the information for the image so we can do window level.  
                     var imageInfo = new lt.Controls.Medical.DICOMImageInformation(); 
 
 
                     // set the image width and height.  
                     imageInfo.width = 512; 
                     imageInfo.height = 512; 
 
                     // bits per pixel for the image  
                     imageInfo.bitsPerPixel = 16; 
                     // low and high bit.  
                     imageInfo.lowBit = 0; 
                     imageInfo.highBit = 11; 
 
                     // other information, setting some of them to zero means that the toolkit will try and calculate it by itself, but you can always get those values from the DicomDataSet.  
                     imageInfo.autoScaleIntercept = -1024; 
                     imageInfo.autoScaleSlope = 1; 
                     imageInfo.minValue = 0; 
                     imageInfo.maxValue = 0; 
                     imageInfo.windowWidth = 200; 
                     imageInfo.windowCenter = 40; 
                     imageInfo.signed = false; 
                     imageInfo.photometricInterpretation = 'MONOCHROME2'; 
                     imageInfo.firstStoredPixelValueMapped = 0; 
 
                     // set these information to the frame.  
 
                     cellFrame.set_information(imageInfo); 
                  } 
 
                  // scroll to the middle of the series. 
                  cell.currentOffset = instanceCount >> 1; 
               } 
            } 
 
            getStackRequest.open("POST", queryArchive, true); 
            getStackRequest.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
 
            var queryParams = 
            { 
               "PatientsOptions": {}, 
               "StudiesOptions": {}, 
               "SeriesOptions": { "SeriesInstanceUID": seriesInstanceUID } 
            }; 
 
 
            var findInstanceData = { 
               authenticationCookie: encodedAuthenticationCode, 
               options: queryParams, 
               extraOptions: { UserData2: "" } 
            }; 
 
 
            getStackRequest.send(JSON.stringify(findInstanceData)); 
 
 
         } 
      }; 
 
      // We are trying here to get an image from the Leadtools database, we need to login and get the authentication code.  
      xhttp.open("POST", "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/api/auth/AuthenticateUser", true); 
      xhttp.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
      // we log in as a 'guest', after calling the below line, we will receive the authentication code sent via 'onreadystatechange' above.  
      xhttp.send(JSON.stringify({ userName: 'guest', password: 'guest', userData: '' })); 
 
      const exampleButton = document.getElementById("exampleButton"); 
      exampleButton.addEventListener("click", () => { 
         this.timesClicked++; 
         // Run the example 
         if (callback) 
            callback(this.medicalViewer, this.authenticationCode); 
      }); 
   } 
} 
Copied to clipboard
export class MedicalViewer_MultiFrame_Example { 
    constructor(callback) { 
        var _this = this; 
        // LEADTOOLS ImageViewer to be used with this example 
        this.medicalViewer = null; 
        // Generic state value used by the examples 
        this.timesClicked = 0; 
        this.authenticationCode = ""; 
        // Set the LEADTOOLS license. Replace this with your actual license file 
        lt.RasterSupport.setLicenseUri("https://demo.leadtools.com/licenses/js/LEADTOOLSEVAL.txt", "EVAL", null); 
        // Create an image viewer inside the imageViewerDiv element 
        var imageViewerDiv = document.getElementById("imageViewerDiv"); 
        var createOptions = new lt.Controls.ImageViewerCreateOptions(imageViewerDiv); 
        var aspPath = "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/"; 
        this.medicalViewer = new lt.Controls.Medical.MedicalViewer(imageViewerDiv, 2, 2); 
        this.medicalViewer.onSizeChanged(); 
        var cell = new lt.Controls.Medical.Cell(this.medicalViewer, null, 1, 1); 
        // Set the show border to "true", to show a border around the cell.  
        cell.set_showFrameBorder(true); 
        // Add the cell to the viewer.   
        this.medicalViewer.layout.get_items().add(cell); 
        // [optional] Select the cell (it can also be selected by clicking on it.)  
        cell.set_selected(true); 
        cell.fullDownload = false; 
        cell.marginFramesCount = 3; 
        var self = this; 
        // we are now going to to download an image from leadtools medical viewer demo web site, you need to change this to download images from your database.  
        var xhttp = new XMLHttpRequest(); 
        xhttp.onreadystatechange = function (data) { 
            if (this.readyState == 4 && this.status == 200) { 
                // here we got the authentication Code that we need to retrieve the images from leadtools database.  
                self.authenticationCode = this.responseText; 
                var encodedAuthenticationCode = self.authenticationCode; 
                // we get here the object retrieve address that points to a service that retireves the information and the images from the server. 
                var objectRetrieveAddress = aspPath + "api/retrieve"; 
                var objectRetrieveQueryAddress = aspPath + "api/query"; 
                var studyInstanceUID = "1.3.12.2.1107.5.1.4.50772.30000009122208074910900000022"; 
                // this is the series instance UID that contains all the frames that will be retrieved. 
                var seriesInstanceUID = "1.3.12.2.1107.5.1.4.50772.30000009122208215356200001997"; 
                cell.seriesInstanceUID = seriesInstanceUID; 
                cell.studyInstanceUID = studyInstanceUID; 
                // we are generating the address for retrieving the instances information. 
                var queryArchive = objectRetrieveQueryAddress; 
                queryArchive += "/FindInstances"; 
                var getStackRequest = new XMLHttpRequest(); 
                getStackRequest.onreadystatechange = function (data) { 
                    if (this.readyState == 4 && this.status == 200) { 
                        var json = JSON.parse(this.responseText); 
                        var instanceIndex = 0; 
                        // if instance count is zero, then the study doesn't exist on the server. 
                        var instanceCount = json.length; 
                        // add frames based on the size of the number of instances. 
                        for (instanceIndex = 0; instanceIndex < instanceCount; instanceIndex++) { 
                            var cellFrame = new lt.Controls.Medical.Frame(cell); 
                            cell.get_frames().add(cellFrame); 
                        } 
                        // loop through every frame, and prepare the data. 
                        for (instanceIndex = 0; instanceIndex < instanceCount; instanceIndex++) { 
                            cellFrame = cell.get_frames().get_item(instanceIndex); 
                            var pageInfo = json[instanceIndex].Pages[0]; 
                            cellFrame.imagePosition = pageInfo.ImagePositionPatientArray; 
                            cellFrame.imageOrientation = pageInfo.ImageOrientationPatientArray; 
                            if (pageInfo.PixelSpacingPatientArray != null && pageInfo.PixelSpacingPatientArray.length == 2) { 
                                cellFrame.set_rowSpacing(parseFloat(pageInfo.PixelSpacingPatientArray[1])); 
                                cellFrame.set_columnSpacing(parseFloat(pageInfo.PixelSpacingPatientArray[0])); 
                            } 
                            // now, this is the MRTI info that contains the image information, width, height, tiles....etc.  
                            var mrtiInfo = new lt.Controls.Medical.MRTIImage(); 
                            // The image dpi.  
                            mrtiInfo.fullDpi = lt.LeadSizeD.create(150, 150); 
                            // the tile size, recommended value is 256  
                            mrtiInfo.tileSize = lt.LeadSizeD.create(512, 512); 
                            mrtiInfo.frameIndex = 0; 
                            // does this image support window leve.  
                            mrtiInfo.supportWindowLevel = true; 
                            // different resolution for the image.  
                            var resolutions = [{ "width": 512, "height": 512 }, { "width": 256, "height": 256 }, { "width": 128, "height": 128 }, { "width": 64, "height": 64 }]; 
                            mrtiInfo.resolutions = []; 
                            for (var i = 0; i < resolutions.length; i++) { 
                                mrtiInfo.resolutions[i] = lt.LeadSizeD.create(resolutions[i].width, resolutions[i].height); 
                            } 
                            // the image width and height.  
                            cellFrame.set_width(mrtiInfo.resolutions[0].width); 
                            cellFrame.set_height(mrtiInfo.resolutions[0].height); 
                            // the image full size.  
                            mrtiInfo.fullSize = lt.LeadSizeD.create(cellFrame.get_width(), cellFrame.get_height()); 
                            // now we need the image URL,  
                            var imageUri = objectRetrieveAddress; 
                            imageUri += "/GetImageTile?auth="; 
                            imageUri += encodedAuthenticationCode; 
                            // this the image instance UID, change this if you want to retrieve anything else.  
                            imageUri += "&instance=" + json[instanceIndex].SOPInstanceUID; 
                            mrtiInfo.imageUri = imageUri; 
                            // set this info to the cell frame.  
                            cellFrame.mrtiInfo = mrtiInfo; 
                            // now we need to set the information for the image so we can do window level.  
                            var imageInfo = new lt.Controls.Medical.DICOMImageInformation(); 
                            // set the image width and height.  
                            imageInfo.width = 512; 
                            imageInfo.height = 512; 
                            // bits per pixel for the image  
                            imageInfo.bitsPerPixel = 16; 
                            // low and high bit.  
                            imageInfo.lowBit = 0; 
                            imageInfo.highBit = 11; 
                            // other information, setting some of them to zero means that the toolkit will try and calculate it by itself, but you can always get those values from the DicomDataSet.  
                            imageInfo.modalityIntercept = -1024; 
                            imageInfo.modalitySlope = 1; 
                            imageInfo.minValue = 0; 
                            imageInfo.maxValue = 0; 
                            imageInfo.windowWidth = 200; 
                            imageInfo.windowCenter = 40; 
                            imageInfo.signed = false; 
                            imageInfo.photometricInterpretation = 'MONOCHROME2'; 
                            imageInfo.firstStoredPixelValueMapped = 0; 
                            // set these information to the frame.  
                            cellFrame.set_information(imageInfo); 
                        } 
                        // scroll to the middle of the series. 
                        cell.currentOffset = instanceCount >> 1; 
                    } 
                }; 
                getStackRequest.open("POST", queryArchive, true); 
                getStackRequest.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
                var queryParams = { 
                    "PatientsOptions": {}, 
                    "StudiesOptions": {}, 
                    "SeriesOptions": { "SeriesInstanceUID": seriesInstanceUID } 
                }; 
                var findInstanceData = { 
                    authenticationCookie: encodedAuthenticationCode, 
                    options: queryParams, 
                    extraOptions: { UserData2: "" } 
                }; 
                getStackRequest.send(JSON.stringify(findInstanceData)); 
            } 
        }; 
        // We are trying here to get an image from the Leadtools database, we need to login and get the authentication code.  
        xhttp.open("POST", "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/api/auth/AuthenticateUser", true); 
        xhttp.setRequestHeader('Content-Type', 'application/json; charset=UTF-8'); 
        // we log in as a 'guest', after calling the below line, we will receive the authentication code sent via 'onreadystatechange' above.  
        xhttp.send(JSON.stringify({ userName: 'guest', password: 'guest', userData: '' })); 
        var exampleButton = document.getElementById("exampleButton"); 
        exampleButton.addEventListener("click", function () { 
            _this.timesClicked++; 
            // Run the example 
            if (callback) 
                callback(_this.medicalViewer, _this.authenticationCode); 
        }); 
    } 
} 
Requirements

Target Platforms

Help Version 23.0.2024.5.7
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Leadtools.Controls.Medical Assembly
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© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.