start Method

Summary

Starts the 3D engine by sending a request to the server-side to begin 3D volume generation using the StudyInstanceUID and SeriesInstanceUID parameters, as well as some extra, optional parameters.

Syntax
TypeScript
JavaScript
Object3DEngine.prototype.start = function( 
   extraCriteria, 
   studyInstanceUID, 
   seriesInstanceUID 
) 
start( 
   extraCriteria: string, 
   studyInstanceUID: string, 
   seriesInstanceUID: string 
): void;

Parameters

extraCriteria

Some extra, optional parameters.

studyInstanceUID

The studyinstanceUID of the series the user wants to use to generate the 3D volume

seriesInstanceUID

The series Instance UID of the series the user wants to use to generate the 3D volume

Remarks

Before starting to create a 3D volume (or a panoramic or MPR, or any other 3D output), be sure to call the canDo3D method.

Retrieve the studyinstanceUId and seriesInstanceUID parameters from the DICOM data set.

The extraCriteria parameter is used in cases where the series contains multiple volumes. In such cases use the parameter to specify exactly which volume. The value is the SOP instance UID of the frame of the specific volume to be converted into a 3D volume.

Example
Cell3D.js
MedicalViewer_MultiFrame_Example.js
Cell3D.ts
MedicalViewer_MultiFrame_Example.ts
Cell3D.html 
 
import { MedicalViewer_MultiFrame_Example } from "../MedicalViewer_MultiFrame_Example"; 
 
export class Cell3D_Example { 
    constructor() { 
        this.run = (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 cell3D = new lt.Controls.Medical.Cell3D(medicalViewer, cell.divID + "_Cell3D"); 
            cell3D.seriesInstanceUID = cell.seriesInstanceUID; 
            cell3D.studyInstanceUID = cell3D.studyInstanceUID + "_3D"; 
            var threed = "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/api/threed/"; 
            medicalViewer.layout.cells.add(cell3D); 
            // create the engine. 
            cell3D.object3D = new lt.Controls.Medical.Object3DEngine(cell.divID + "_3D_Volume"); 
            // add the request 3D data event which will act as a proxy between the engine and the server. 
            var engine3D = cell3D.object3D; 
            engine3D.add_request3DData(function (sender, args) { 
                switch (args.type) { 
                    // the engine is requesting the current progress value. 
                    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; 
                    // the engine is requesting the creation of the 3D object. 
                    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; 
                    // the engine is requesting an image that contains the 3D rendered volume. 
                    case lt.Controls.Medical.Requested3DDataType.render: 
                        cell3D.image.src = args.JSON; 
                        break; 
                    // the engine is requesting deleting the 3D volume. 
                    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)); 
                        } 
                        break; 
                } 
            }); 
            // this event is fired when the status of the 3D volume changed. 
            engine3D.add_statusChanged(function (sender, args) { 
                switch (args.status) { 
                    case lt.Controls.Medical.Object3DStatus.ready: 
                        cell3D.URL = threed + "/Get3DImage?auth=" + authenticationCode; 
                        break; 
                } 
            }); 
            // starts the engine, which will trigger the 3D volume creation process. 
            cell3D.start(""); 
            setTimeout(function () { 
                engine3D.end(); 
                alert('this demo has a timer that will dispose the 3D object in 30 seconds, the time has lapsed... changed the timeout to make the 3D stay longer.'); 
            }, 30000); 
        }; 
        this.viewerExample = new MedicalViewer_MultiFrame_Example(this.run); 
    } 
} 
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); 
        }); 
    } 
} 
///<reference path="../../../static/LT/Leadtools.d.ts"/> 
///<reference path="../../../static/LT/Leadtools.Controls.d.ts"/> 
///<reference path="../../../static/LT/Leadtools.Controls.Medical.d.ts"/> 
 
import { MedicalViewer_MultiFrame_Example } from "../MedicalViewer_MultiFrame_Example"; 
 
 
export class Cell3D_Example { 
   private viewerExample; 
   private medicalViewer; 
   constructor() { 
      this.viewerExample = new MedicalViewer_MultiFrame_Example(this.run); 
   } 
 
   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 cell3D: lt.Controls.Medical.Cell3D = new lt.Controls.Medical.Cell3D(medicalViewer, cell.divID + "_Cell3D"); 
      cell3D.seriesInstanceUID = cell.seriesInstanceUID; 
      cell3D.studyInstanceUID = cell3D.studyInstanceUID + "_3D"; 
 
 
      var threed = "https://medicaldemos.leadtools.com/MedicalViewerServiceAsp22/api/threed/"; 
 
      medicalViewer.layout.cells.add(cell3D); 
 
      // create the engine. 
      cell3D.object3D = new lt.Controls.Medical.Object3DEngine(cell.divID + "_3D_Volume"); 
 
      // add the request 3D data event which will act as a proxy between the engine and the server. 
      var engine3D: lt.Controls.Medical.Object3DEngine = cell3D.object3D; 
      engine3D.add_request3DData(function (sender, args: lt.Controls.Medical.Request3DDataEventArgs) { 
 
         switch (args.type) { 
            // the engine is requesting the current progress value. 
            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; 
 
            // the engine is requesting the creation of the 3D object 
            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; 
 
            // the engine is requesting an image that contains the 3D rendered volume. 
            case lt.Controls.Medical.Requested3DDataType.render: 
               cell3D.image.src = args.JSON; 
               break; 
 
            // the engine is requesting deleting the 3D volume. 
            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)); 
               } 
               break; 
 
 
         } 
 
      }); 
 
      // this event is fired when the status of the 3D volume changed. 
      engine3D.add_statusChanged(function (sender, args: lt.Controls.Medical.StatusChangedEventArgs) { 
 
         switch (args.status) { 
            case lt.Controls.Medical.Object3DStatus.ready: 
               cell3D.URL = threed + "/Get3DImage?auth=" + authenticationCode; 
               break; 
         } 
 
      }); 
 
 
      // starts the engine, which will trigger the 3D volume creation process. 
      cell3D.start(""); 
 
      setTimeout(function () { 
         engine3D.end(); 
         alert('this demo has a timer that will dispose the 3D object in 30 seconds, the time has lapsed... changed the timeout to make the 3D stay longer.') 
      }, 
         30000); 
 
 
 
 
 
 
 
      // medicalViewer.emptyDivs.items.collectionChanged.add( (sender, e) => { 
      //    var index = 0; 
      //    var div; 
      //    var length = e.newItems.length; 
 
      //    if (e.get_action() === lt.NotifyLeadCollectionChangedAction.add) { 
      //       for (; index < length; index++) { 
 
      //          var emptyCell: lt.Controls.Medical.EmptyCell = e.newItems[index]; 
      //          div = emptyCell.div; 
      //          (<any>div.emptyCell) = emptyCell; 
      //          //div.addEventListener('mouseup', this.clicked); 
      //       } 
 
      //    } 
      // }); 
 
   } 
} 
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); 
      }); 
   } 
} 
<!doctype html> 
<html lang="en"> 
<title>3D Cell Example</title> 
 
<head> 
   <script src="https://code.jquery.com/jquery-2.2.4.min.js" 
      integrity="sha256-BbhdlvQf/xTY9gja0Dq3HiwQF8LaCRTXxZKRutelT44=" crossorigin="anonymous"></script> 
 
   <script src="../../LT/Leadtools.js"></script> 
   <script src="../../LT/Leadtools.Controls.js"></script> 
   <script src="../../LT/Leadtools.Annotations.Engine.js"></script> 
   <script src="../../LT/Leadtools.Annotations.Designers.js"></script> 
   <script src="../../LT/Leadtools.Annotations.Rendering.Javascript.js"></script> 
   <script src="../../LT/Leadtools.Annotations.Automation.js"></script> 
   <script src="../../LT/Leadtools.ImageProcessing.Main.js"></script> 
   <script src="../../LT/Leadtools.ImageProcessing.Color.js"></script> 
   <script src="../../LT/Leadtools.ImageProcessing.Core.js"></script> 
   <script src="../../LT/Leadtools.ImageProcessing.Effects.js"></script> 
   <script src="../../LT/Leadtools.Document.js"></script> 
   <script src="../../LT/Leadtools.Document.Viewer.js"></script> 
   <script src="../../LT/Leadtools.Controls.Medical.js"></script> 
   <style> 
      body { 
         font-family: 'Segoe UI', sans-serif; 
      } 
 
      #imageViewerDiv { 
         border: 1px solid #888; 
         width: 500px; 
         height: 500px; 
         background-color: #eee; 
      } 
   </style> 
 
   <!-- All demo files are bundled and appended to the window --> 
   <script src="../../bundle.js" type="text/javascript"></script> 
</head> 
 
<body  oncontextmenu="return false;"> 
   <p>Create a 3D volume.</p> 
   <p>Run the example, and generat the 3d volume, use the left mouse button to rotate the 3D volume.</p> 
   <div> 
      <button type="button" id="exampleButton">Run Example</button> 
   </div> 
   <div id="imageViewerDiv"></div> 
   <div id="output"></div> 
</body> 
 
<script> 
   window.onload = () => { 
       const example = new window.examples.MedicalViewer.Cell3D(); 
 
   }; 
</script> 
</html>
Requirements

Target Platforms

Help Version 23.0.2024.5.7
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© 1991-2024 LEAD Technologies, Inc. All Rights Reserved.

Leadtools.Controls.Medical Assembly
Introduction
Getting Started
Namespaces
Leadtools.Controls.Medical Namespace
Assemblies
Products | Support | Contact Us | Intellectual Property Notices
© 1991-2023 LEAD Technologies, Inc. All Rights Reserved.