202 lines
7.9 KiB
JavaScript
202 lines
7.9 KiB
JavaScript
import * as dicomParser from "dicom-parser";
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import * as cornerstone from "cornerstone-core";
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import * as cornerstoneWADOImageLoader from "cornerstone-wado-image-loader";
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cornerstoneWADOImageLoader.external.dicomParser = dicomParser;
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cornerstoneWADOImageLoader.external.cornerstone = cornerstone;
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import { convertBytes } from "@/utils/dicom-character-set";
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import Vue from 'vue';
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import { dcmUpload } from "@/utils/dcmUpload/dcmUpload";
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let dicom = {
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PatientName: "x00100010", // 患者姓名
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PatientId: "x00100020", // 患者ID
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PatientBirthDate: "x00100030", // 患者出生日期
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PatientBirthTime: "x00100032", // 患者出生时间
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PatientSex: "x00100040", // 患者性别
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PatientWeight: "x00101030", // 患者体重
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PregnancyStatus: "x001021c0", // 怀孕状态
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PatientAge: "x00101010", // 患者年龄(做检查时刻的患者年龄，而不是此刻患者的真实年龄)
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AcquisitionTime: "x00080032",
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AcquisitionNumber: "x00200012",
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TriggerTime: "x00181060",
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AccessionNumber: "x00080050", // 检查号
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StudyId: "x00200010", // 检查ID
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StudyInstanceUid: "x0020000d", // 检查实例号
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StudyDate: "x00080020", // 检查日期
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StudyTime: "x00080030", // 检查时间
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Modalities: "x00080061", // 一个检查中含有的不同检查类型
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BodyPartExamined: "x00080015", // 检查的部位
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StudyDescription: "x00081030", // 检查的描述
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InstitutionName: "x00080080",
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SeriesNumber: "x00200011", // 序列号
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SeriesInstanceUid: "x0020000e", // 序列实例号
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Modality: "x00080060", // 检查模态
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SeriesDescription: "x0008103e", // 检查描述和说明
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SeriesDate: "x00080021", // 检查日期
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SeriesTime: "x00080031", // 检查时间
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SequenceName: "x00180024",
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ProtocolName: "x00181030",
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ImagePosition: "x00200032", // 图像位置
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ImageOrientation: "x00200037", // 图像方位
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ImagePixelSpacing: "x00181164",
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SliceThickness: "x00180050", // 层厚
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SpacingBetweenSlices: "x00180088", // 层间距
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SliceLocation: "x00201041", // 相对位置
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MRAcquisition: "x00180023",
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seriesBodyPartExamined: "x00180015", // 身体部位
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ImageType: "x00080008",
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SopInstanceUid: "x00080018", // SOP实例UID
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ContentDate: "x00080023", // 影像拍摄日期
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ContentTime: "x00080033", // 影像拍摄时间
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ImageOrInstanceNumber: "x00200013", // 图像码
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SamplesPerPixel: "x00280002", // 图像采样率
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PhotometricInterpretation: "x00280004", // 光度计（对于CT图像，用两个枚举值MONOCHROME1，MONOCHROME2 用来判断图像是否是彩色的；MONOCHROME 1/2是灰度图，RGB则是真彩色图）
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Rows: "x00280010", // 行数
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Columns: "x00280011", // 列数
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NumberOfFrames: "x00280008",
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PixelSpacing: "x00280030", // 像素间距
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BitsAllocated: "x00280100", // 分配的位数
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BitsStored: "x00280101", // 存储的位数
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HighBit: "x00280102", // 高位
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PixelRepresentation: "x00280103", // 像素数据的表现类型（一个枚举值，分别为十六进制数0000和0001.0000H = 无符号整型，0001H = 2的补码）
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WindowCenter: "x00281050", // 窗位
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WindowWidth: "x002811051", // 窗宽
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RescaleIntercept: "x00281052", // 截距
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RescaleSlope: "x00281053", // 斜率
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RescaleType: "x00281054", // 输出值的单位
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ParsingFormat: "x00080005",
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FrameOfReferenceUID: "x00200052",
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};
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// 需要设置默认值
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let defaultKey = ['Rows', 'Columns', 'SliceLocation', 'NumberOfFrames'];
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let uintKey = ['Rows', 'Columns'];
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let intStringKey = ['SliceLocation', 'NumberOfFrames'];
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// 需要格式解析
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let pormatParseKey = ['PatientName', 'SeriesDescription', 'StudyDescription'];
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// 解析dicom文件
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export const parseDicom = (file, name = false) => {
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return new Promise(function (resolve) {
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let reader = new FileReader();
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reader.onload = function (e) {
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try {
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let data = dicomParser.parseDicom(new Uint8Array(e.target.result));
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let res = {};
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if (name && Array.isArray(name)) {
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name.forEach((item) => {
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if (dicom[item]) {
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res[item] = data.string(dicom[item]) || '';
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}
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});
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} else if (name) {
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if (dicom[name]) {
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res[name] = data.string(dicom[name]) || '';
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} else {
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console.log("name is inexistence");
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resolve(false)
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}
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} else {
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Object.keys(dicom).forEach((key) => {
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res[key] = data.string(dicom[key]) || '';
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});
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}
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pormatParseKey.forEach(key => {
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if (res[key]) {
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const Element = data.elements[dicom[key]];
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const Bytes = new Uint8Array(
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data.byteArray.buffer,
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Element ? Element.dataOffset : 0,
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Element ? Element.length : 0
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);
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res[key] = convertBytes(
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res.ParsingFormat,
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Bytes
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);
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}
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})
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uintKey.forEach(key => {
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res[key] = data.uint16(dicom[key])
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})
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intStringKey.forEach(key => {
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res[key] = data.intString(dicom[key])
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})
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defaultKey.forEach(key => {
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if (!res[key] && res.hasOwnProperty(key)) {
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res[key] = 0;
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}
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})
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resolve(res);
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} catch (error) {
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console.log(error)
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resolve(false);
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}
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};
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reader.onerror = function (e) {
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console.log(e)
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resolve(false);
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};
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reader.readAsArrayBuffer(file);
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});
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};
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// 影像上传
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// 影像上传
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export const dicomToOSS = async (file, path) => {
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try {
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let res = await dcmUpload(path, file);
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if (!res || !res.url) return false;
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return Vue.prototype.$getObjectName(res.url);
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} catch (err) {
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console.log(err);
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return false;
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}
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};
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// 获取缩略图
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export const getThumbnail = async (file, ossPath, dicomInfo) => {
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try {
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if (dicomInfo.modality !== "SR") {
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let fileId = cornerstoneWADOImageLoader.wadouri.fileManager.add(file);
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let blob = await dicomToPng(
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fileId,
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dicomInfo.Columns,
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dicomInfo.Rows
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);
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if (!blob) return "";
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let OSSclient = Vue.prototype.OSSclient;
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let seriesRes = await OSSclient.put(ossPath, blob);
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if (seriesRes && seriesRes.url) {
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return Vue.prototype.$getObjectName(seriesRes.url);
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} else {
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return "";
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}
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} else {
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return "";
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}
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} catch (err) {
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console.log(err);
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return "";
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}
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};
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const canvasToBlob = (canvas) => {
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return new Promise((resolve) => {
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canvas.toBlob((blob) => {
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resolve(blob);
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});
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});
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};
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const dicomToPng = (imageId, width, height) => {
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return new Promise((resolve) => {
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cornerstone.loadImage(imageId).then(async (image) => {
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let canvas = document.createElement("canvas");
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canvas.width = width;
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canvas.height = height;
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if (image) {
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cornerstone.renderToCanvas(canvas, image);
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// 将 Canvas 图像对象转换为 PNG 格式
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let blob = await canvasToBlob(canvas);
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resolve(blob);
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} else {
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resolve(false);
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}
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});
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}).catch((reason) => {
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reason();
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});
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}; |