diff --git a/Packages/ohif-measurements/client/components/measurementTable/measurementTableView/measurementTableView.js b/Packages/ohif-measurements/client/components/measurementTable/measurementTableView/measurementTableView.js index 7dc52a858..9ee280967 100644 --- a/Packages/ohif-measurements/client/components/measurementTable/measurementTableView/measurementTableView.js +++ b/Packages/ohif-measurements/client/components/measurementTable/measurementTableView/measurementTableView.js @@ -19,8 +19,7 @@ Template.measurementTableView.onCreated(() => { Template.measurementTableView.events({ 'click .js-pdf'(event, instance) { const { measurementApi, timepointApi } = instance.data; - const measurementGroups = instance.data.measurementGroups.get(); - OHIF.measurements.exportPdf(measurementGroups, measurementApi, timepointApi); + OHIF.measurements.exportPdf(measurementApi, timepointApi); } }); diff --git a/Packages/ohif-measurements/client/lib/exportPdf.js b/Packages/ohif-measurements/client/lib/exportPdf.js index ae71c23a4..041bc2359 100644 --- a/Packages/ohif-measurements/client/lib/exportPdf.js +++ b/Packages/ohif-measurements/client/lib/exportPdf.js @@ -1,187 +1,79 @@ import { OHIF } from 'meteor/ohif:core'; -// import { $ } from 'meteor/jquery'; -// import jsPDF from 'jspdf'; -// import html2canvas from 'html2canvas'; -// import * as pdfMake from 'pdfmake'; +import { MeasurementReport } from 'meteor/ohif:measurements/client/reports/measurement'; -// window.jsPDF = jsPDF; -// window.html2canvas = html2canvas; -// window.pdfMake = pdfMake; - -OHIF.measurements.exportPdf = (measurementGroups, measurementApi, timepointApi) => { - const pdf = new jsPDF('portrait', 'pt', 'a4'); - - // Generate the logo - const logoImage = 'data:image/png;base64,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'; - pdf.addImage(logoImage, 'PNG', 40, 40, 20, 20); - pdf.setFont('Sanchez'); - pdf.setFontSize(14); - pdf.text('Open Health Imaging Foundation', 66, 54); - - // Header horizontal line - pdf.setLineWidth(0.5); - pdf.line(30, 64, 565, 64); +OHIF.measurements.exportPdf = (measurementApi, timepointApi) => { + const currentTimepoint = timepointApi.current(); + const { timepointId } = currentTimepoint; + const study = ViewerStudies.findOne({ + studyInstanceUid: currentTimepoint.studyInstanceUids[0] + }); + const report = new MeasurementReport({ + header: { + trial: 'RECIST 1.1', + patientName: formatPN(study.patientName), + mrn: study.patientId, + timepoint: timepointApi.name(currentTimepoint) + } + }); const $element = $('
').css({ - border: '1px solid red', - height: 1000, + height: 800, left: 0, position: 'fixed', top: 0, - width: 1000, - 'z-index': 100000 + visibility: 'hidden', + width: 800, + 'z-index': -1 }); - - $element.appendTo(document.body); - const element = $element[0]; - + $element.appendTo(document.body); cornerstone.enable(element, { renderer: 'webgl' }); - const enabledElement = cornerstone.getEnabledElement(element); enabledElement.toolStateManager = cornerstoneTools.newImageIdSpecificToolStateManager(); - const measurements = { - targets: [], - nonTargets: [] - }; - measurementGroups.forEach(measurementGroup => { - const { toolGroup, measurementRows } = measurementGroup; - measurementRows.forEach(rowItem => { - rowItem.entries.forEach(entry => measurements[toolGroup.id].push(entry)); - }); - }); + const targets = measurementApi.fetch('targets', { timepointId }); + const nonTargets = measurementApi.fetch('nonTargets', { timepointId }); + const measurements = targets.concat(nonTargets); - let i = 0; - const readMeasurements = toolGroupId => { - measurements[toolGroupId].forEach(measurement => { - setTimeout(() => { - cornerstone.loadImage(measurement.imageId).then(image => { - cornerstone.displayImage(element, image); - cornerstoneTools.addToolState(element, measurement.toolType, measurement); - cornerstoneTools[measurement.toolType].enable(element); - cornerstoneTools.clearToolState(element, measurement.toolType); - }); - }, i * 1000); - i++; + const iterator = measurements[Symbol.iterator](); + const printMeasurements = callback => { + const current = iterator.next(); + if (current.done) { + callback(); + return; + } + + const measurement = current.value; + cornerstone.loadImage(measurement.imageId).then(image => { + cornerstone.displayImage(element, image); + cornerstoneTools.addToolState(element, measurement.toolType, measurement); + cornerstoneTools[measurement.toolType].enable(element); + + let info = measurement.response; + if (!info) { + info = measurement.longestDiameter; + if (measurement.shortestDiameter) { + info += ` × ${measurement.shortestDiameter}`; + } + + info += ' mm'; + } + + report.printMeasurement({ + type: measurement.toolType, + number: measurement.measurementNumber, + location: measurement.location || '', + info, + image: enabledElement.canvas.toDataURL() + }); + cornerstoneTools.clearToolState(element, measurement.toolType); + + printMeasurements(callback); }); }; - readMeasurements('targets'); - readMeasurements('nonTargets'); - - setTimeout(() => { + printMeasurements(() => { $element.remove(); - pdf.save('measurements.pdf'); - }, i * 1000); -}; - -// window.exportCanvasToPdf = canvas => { -// // only jpeg is supported by jsPDF -// const imgData = canvas.toDataURL('image/jpeg', 1.0); -// const pdf = new jsPDF(); - -// pdf.addImage(imgData, 'JPEG', 0, 0); -// pdf.save('download.pdf'); -// }; - -// window.exportActiveViewportToPdf = () => { -// const activeViewportElement = getActiveViewportElement(); -// if (!activeViewportElement) { -// console.log('>>>>> No active viewport element'); -// return; -// } - -// console.log('>>>>> activeViewportElement: ', activeViewportElement); -// const canvas = $(activeViewportElement).find('canvas').get(0); - -// if (!canvas) { -// console.log('>>>>> canvas is not available'); -// return; -// } - -// exportCanvasToPdf(canvas); -// }; - -// Split the data into pages -// To make it easier we're going to work with a fixed grid (4R x 2C) -const getReportData = data => { - const patient = data.patient; - const pages = []; - let page; - - // Working with ITEMS until we get real data (measurements) - const itemsPerPage = 3; - data.items.forEach(item => { - if (!page || (page.items.length === itemsPerPage)) { - page = { - width: 595, // points - height: 841, // points - patient, - items: [] - }; - - pages.push(page); - } - - page.items.push(item); + report.save('measurements.pdf'); }); - - return pages; -}; - -window.exportPdf = (options) => { - const pages = getReportData(options.data); - const template = Template.measurementsReport; - const pdf = new jsPDF('portrait', 'pt', 'a4'); - let renderedView; - - const parentNode = document.createElement('div'); - - const onRendered = (template) => { - const printableElement = template.find('.print'); - const renderOptions = { - pagesplit: true - }; - - document.body.appendChild(parentNode); - pdf.addHTML(printableElement, 0, 0, renderOptions, () => { - // Blaze.remove(renderedView); - // document.body.removeChild(parentNode); - pdf.save('html2pdf.pdf'); - console.log('Done!'); - }); - }; - - const viewModel = { - pages, - onRendered - }; - - renderedView = Blaze.renderWithData(Template['measurementsReport'], viewModel, parentNode); - // const html = Blaze.toHTMLWithData(Template['measurementsReport'], pages); -}; - -window.testExportPdf = () => { - const options = { - data: { - patient: { - name: 'Patient name' - }, - // study: { - // foo: 'bar' - // }, - // timepoint: { - // date: '1/1/1900' - // }, - // measurements: [ ], - items: [] - } - }; - - for (let i = 0; i < 8; i++) { - options.data.items.push('Lorem ipsum dolor sit amet, consectetur adipisicing elit. Praesentium possimus sit alias. Repellendus minus placeat mollitia voluptas quod repellat vero quasi similique dolores minima excepturi, adipisci iusto optio, omnis accusamus. Lorem ipsum dolor sit amet, consectetur adipisicing elit. Rerum repudiandae alias praesentium possimus minima sunt velit voluptates maxime labore sequi, quasi cum eos perferendis tempora dolorem obcaecati ut commodi qui.'); - } - - exportPdf(options); }; diff --git a/Packages/ohif-measurements/client/reports/base.js b/Packages/ohif-measurements/client/reports/base.js new file mode 100644 index 000000000..e2851303a --- /dev/null +++ b/Packages/ohif-measurements/client/reports/base.js @@ -0,0 +1,83 @@ +import jsPDF from 'jspdf'; +import { _ } from 'meteor/underscore'; + +export class BaseReport { + constructor(options) { + const defaultOptions = { + width: 595.28, + height: 841.89, + marginTop: 30, + marginLeft: 40, + marginRight: 40, + marginBottom: 30, + showPageNumber: true + }; + + this.options = _.extend(defaultOptions, options); + this.init(); + } + + init() { + this.doc = new jsPDF('portrait', 'pt', [this.options.width, this.options.height]); + this.options.width = Math.floor(this.options.width); + this.options.height = Math.floor(this.options.height); + this.currentPage = 1; + this.printStatic(); + } + + printStatic() { + this.x = this.options.marginLeft; + this.y = this.options.marginTop; + this.printHeader(); + if (this.options.showPageNumber) { + this.printPageNumber(); + } + } + + newPage() { + this.doc.addPage(); + this.currentPage++; + this.printStatic(); + } + + printHeader() { + const { marginLeft, marginRight, width } = this.options; + const doc = this.doc; + let y = this.y; + + // Print the logo strokes + doc.setDrawColor(0).setLineWidth(1); + doc.roundedRect(marginLeft + 0.5, y + 0.5, 8, 8, 0.5, 0.5, 'D'); + doc.roundedRect(marginLeft + 11, y + 0.5, 8, 8, 0.5, 0.5, 'D'); + doc.roundedRect(marginLeft + 0.5, y + 11, 8, 8, 0.5, 0.5, 'D'); + doc.roundedRect(marginLeft + 11, y + 11, 8, 8, 0.5, 0.5, 'D'); + + // Print the logo text + doc.setFont('Serif').setFontSize(16).setFontStyle('normal').setTextColor(0); + doc.text('Open Health Imaging Foundation', 66, y + 14); + y += 24; + + // Print header horizontal line + doc.setDrawColor(0).setLineWidth(0.5); + doc.line(marginLeft, y, width - marginRight, y); + y += 1; + + this.y = y; + } + + printPageNumber() { + const doc = this.doc; + const { marginBottom, marginRight, width, height } = this.options; + doc.setFont('Verdana'); + doc.setFontSize(8); + doc.setFontStyle('normal'); + doc.setTextColor(0); + const text = `PAGE ${this.currentPage}`; + const size = doc.getTextDimensions(text); + doc.text(text, width - marginRight - size.w, height - marginBottom + (size.h / 2)); + } + + save(fileName) { + this.doc.save(fileName || 'report.pdf'); + } +} diff --git a/Packages/ohif-measurements/client/reports/measurement.js b/Packages/ohif-measurements/client/reports/measurement.js new file mode 100644 index 000000000..6e1a276c8 --- /dev/null +++ b/Packages/ohif-measurements/client/reports/measurement.js @@ -0,0 +1,104 @@ +import { BaseReport } from './base'; + +export class MeasurementReport extends BaseReport { + constructor(options) { + super(options); + } + + printHeader() { + super.printHeader(); + + const { marginLeft, marginRight, width, header } = this.options; + const doc = this.doc; + let y = this.y; + + // don't print the header if not given + if (!header) return; + + // Print trial label + y += 10; + doc.setFont('verdana'); + doc.setFontSize(8); + doc.setFontStyle('bold'); + doc.setTextColor(255); + doc.setFillColor(16); + const trialLabel = header.trial; + const trialLabelWidth = doc.getTextWidth(trialLabel) + 8; + doc.roundedRect(marginLeft, y, trialLabelWidth, 15, 3, 3, 'F'); + doc.text(trialLabel, marginLeft + 4, y + 10.5); + + // Print patient information + doc.setFont('verdana'); + doc.setFontSize(10); + doc.setFontStyle('normal'); + doc.setTextColor(0); + doc.text(`${header.patientName}\t${header.mrn}`, marginLeft + trialLabelWidth + 10, y + 11); + y += 25; + + // Print timepoint header + doc.setFillColor(229); + doc.rect(marginLeft, y, width - marginLeft - marginRight, 18, 'F'); + doc.setFont('verdana'); + doc.setFontSize(9); + doc.setFontStyle('normal'); + doc.setTextColor(0); + doc.text(header.timepoint.toUpperCase(), marginLeft + 4, y + 12.5); + y += 18; + + this.y = y; + } + + printMeasurement(measurementData) { + const { marginLeft, marginRight, marginBottom, width, height } = this.options; + const infoHeight = 28; + const rectSize = Math.round((width - marginLeft - marginRight - 3) / 2); + const doc = this.doc; + let { x, y } = this; + const { image, location, info } = measurementData; + const type = measurementData.type.toUpperCase(); + const number = measurementData.number.toString(); + + if (y + rectSize + infoHeight > height - marginBottom) { + this.newPage(); + x = this.x; + y = this.y; + } + + // Print the image + doc.setFillColor(0); + doc.rect(x, y, rectSize, rectSize, 'F'); + doc.addImage(image, 'JPEG', x + 1, y + 1, rectSize - 2, rectSize - 2); + y += rectSize; + + // Print the measurement type + doc.setFont('verdana').setFontSize(10).setFontStyle('bold').setTextColor(255); + const typeWidth = Math.round(doc.getTextWidth(type)); + const typeX = x + rectSize - typeWidth; + doc.setFillColor(64); + doc.rect(typeX - 8, y - 16, typeWidth + 8, 16, 'F'); + doc.text(type, typeX - 4, y - 5); + + // Print the measurement number + doc.setFillColor(224); + doc.circle(x + 9, y - 10, 7, 'F'); + doc.setFont('courier').setTextColor(0); + const numberHalfWidth = doc.getTextWidth(number) / 2; + doc.text(number, x + 9 - numberHalfWidth, y - 7); + + // Print the measurement location and info + doc.setFillColor(240); + doc.rect(x, y, rectSize, infoHeight, 'F'); + doc.setFont('verdana').setFontSize(9); + doc.text(location, x + 4, y + 11); + doc.setFontStyle('normal'); + doc.text(info, x + 4, y + 24); + y += infoHeight; + + if (x === marginLeft) { + this.x = width - marginRight - rectSize; + } else { + this.x = marginLeft; + this.y = y; + } + } +} diff --git a/Packages/ohif-measurements/client/reports/temp/pdf.html b/Packages/ohif-measurements/client/reports/temp/pdf.html deleted file mode 100644 index ac61a4a24..000000000 --- a/Packages/ohif-measurements/client/reports/temp/pdf.html +++ /dev/null @@ -1,11 +0,0 @@ - - - - - jsPDF - - - - - - diff --git a/Packages/ohif-measurements/client/reports/temp/pdf.js b/Packages/ohif-measurements/client/reports/temp/pdf.js deleted file mode 100644 index 0b4b1db63..000000000 --- a/Packages/ohif-measurements/client/reports/temp/pdf.js +++ /dev/null @@ -1,125 +0,0 @@ -const doc = new jsPDF('portrait', 'pt', 'a4'); - -// Print the logo -doc.setDrawColor(0); -doc.setLineWidth(1); -doc.roundedRect(40.5, 30.5, 8, 8, 0.5, 0.5, 'D'); -doc.roundedRect(51, 30.5, 8, 8, 0.5, 0.5, 'D'); -doc.roundedRect(40.5, 41, 8, 8, 0.5, 0.5, 'D'); -doc.roundedRect(51, 41, 8, 8, 0.5, 0.5, 'D'); -doc.text('Open Health Imaging Foundation', 66, 44); - -// Print header horizontal line -doc.setDrawColor(0); -doc.setLineWidth(0.5); -doc.line(40, 54, 555, 54); - -// Print header information -doc.setFillColor(16); -doc.roundedRect(40, 65, 50, 15, 3, 3, 'F'); -doc.setFont('Verdana'); -doc.setFontSize(8); -doc.setFontStyle('bold'); -doc.setTextColor(255); -doc.text('RECIST 1.1', 44, 75.5); - -// Print patient information -doc.setFont('Verdana'); -doc.setFontSize(10); -doc.setFontStyle('normal'); -doc.setTextColor(0); -doc.text('Ana Goodwin\tMGH 4044827', 110, 76); - -// Print timepoint header -doc.setFillColor(229); -doc.rect(40, 90, 515, 18, 'F'); -doc.setFont('Verdana'); -doc.setFontSize(9); -doc.setFontStyle('normal'); -doc.setTextColor(0); -doc.text('FOLLOW-UP 2', 44, 102.5); - -let y = 108; - -// Print a measurements row -doc.setFillColor(0); -doc.rect(40, y, 256, 256, 'F'); -doc.rect(299, y, 256, 256, 'F'); -const image1 = 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'; -doc.addImage(image1, 'JPEG', 41, y + 1, 254, 254); -const image2 = 'data:image/jpeg;base64,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'; -doc.addImage(image2, 'JPEG', 300, y + 1, 254, 254); -y += 256; -doc.setFillColor(64); -doc.setFont('Verdana'); -doc.setFontSize(10); -doc.setFontStyle('bold'); -doc.setTextColor(255); -doc.rect(249, y - 16, 47, 16, 'F'); -doc.rect(508, y - 16, 47, 16, 'F'); -doc.text('TARGET', 252, y - 5); -doc.text('TARGET', 511, y - 5); -doc.setFillColor(224); -doc.setFont('Courier'); -doc.setTextColor(0); -doc.circle(49, y - 10, 7, 'F'); -doc.circle(308, y - 10, 7, 'F'); -doc.text('1', 46.5, y - 7); -doc.text('2', 305.5, y - 7); -doc.setFillColor(240); -doc.rect(40, y, 256, 28, 'F'); -doc.rect(299, y, 256, 28, 'F'); -doc.setFont('Verdana'); -doc.setFontSize(9); -doc.text('Lung LUL', 44, y + 11); -doc.text('Lymph Node Mediastinal', 303, y + 11); -doc.setFontStyle('normal'); -doc.text('23.8 × 12.9 mm (S:3, I:44)', 44, y + 24); -doc.text('17.0 × 28.2 mm (S:3, I:83)', 303, y + 24); -y += 28; - -// Print a measurements row -doc.setFillColor(0); -doc.rect(40, y, 256, 256, 'F'); -doc.rect(299, y, 256, 256, 'F'); -const image3 = 'data:image/jpeg;base64,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'; -doc.addImage(image1, 'JPEG', 41, y + 1, 254, 254); -const image4 = 'data:image/jpeg;base64,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'; -doc.addImage(image2, 'JPEG', 300, y + 1, 254, 254); -y += 256; -doc.setFillColor(64); -doc.setFont('Verdana'); -doc.setFontSize(10); -doc.setFontStyle('bold'); -doc.setTextColor(255); -doc.rect(223, y - 16, 73, 16, 'F'); -doc.rect(482, y - 16, 73, 16, 'F'); -doc.text('NON-TARGET', 226, y - 5); -doc.text('NON-TARGET', 485, y - 5); -doc.setFillColor(224); -doc.setFont('Courier'); -doc.setTextColor(0); -doc.circle(49, y - 10, 7, 'F'); -doc.circle(308, y - 10, 7, 'F'); -doc.text('1', 46.5, y - 7); -doc.text('2', 305.5, y - 7); -doc.setFillColor(240); -doc.rect(40, y, 256, 28, 'F'); -doc.rect(299, y, 256, 28, 'F'); -doc.setFont('Verdana'); -doc.setFontSize(9); -doc.text('Lymph Node Pericardial', 44, y + 11); -doc.text('Lymph Node Retrocrural', 303, y + 11); -doc.setFontStyle('normal'); -doc.text('SD (S:3, I:115)', 44, y + 24); -doc.text('SD (S:3, I:140)', 303, y + 24); -y += 28; - -// Print the page number -doc.setFont('Verdana'); -doc.setFontSize(8); -doc.setFontStyle('normal'); -doc.setTextColor(0); -doc.text('PAGE 1', 520, 810); - -doc.output('datauri');