Created
June 27, 2025 00:38
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IDC-chart in Slicer
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| import json | |
| import random | |
| import sys | |
| try: | |
| import idc_index | |
| import pandas | |
| except ModuleNotFoundError: | |
| import pip | |
| pip.main("install idc_index".split()) | |
| import idc_index | |
| import pandas | |
| idc = idc_index.IDCClient() | |
| query = """ | |
| SELECT DISTINCT | |
| PatientAge, | |
| PatientSex, | |
| BodyPartExamined, | |
| Modality, | |
| collection_id, | |
| StudyInstanceUID, | |
| FROM | |
| index | |
| WHERE | |
| collection_id != 'nlst' | |
| AND Modality != 'SM' | |
| AND Modality != 'SEG' | |
| AND Modality != 'SR' | |
| """ | |
| studies = idc.sql_query(query) | |
| def ageMap(value): | |
| if not value: | |
| return 50 | |
| if value.find("Y") != -1: | |
| return value.replace("Y", "") | |
| if value.find("M") != -1: | |
| return 1 | |
| if value.find("D") != -1: | |
| return 0 | |
| try: | |
| int(value) | |
| return value | |
| except ValueError: | |
| return 50 | |
| def sexMap(value): | |
| if value in ["M", "F", "O"]: | |
| return value | |
| return "U" | |
| studies['PatientAge'] = studies['PatientAge'].apply(lambda x: pandas.to_numeric(ageMap(x))) | |
| studies['PatientSex'] = studies['PatientSex'].apply(lambda x: sexMap(x)) | |
| columnNames = studies.columns.values.tolist() | |
| studyList = list(studies.itertuples(index=False, name=None)) | |
| print(studyList[:20]) | |
| print(len(studyList)) | |
| studyList = random.sample(studyList, 1000) | |
| valueTypes = [ 'PatientAge' ] | |
| parallelAxis = [] | |
| for index,columnName in enumerate(columnNames): | |
| if columnName.find("UID") == -1: | |
| axisRow = {'dim': index, 'name': columnName} | |
| axisRow['type'] = 'value' if columnName in valueTypes else 'category' | |
| parallelAxis.append(axisRow) | |
| seriesData = { | |
| 'name': 'data', | |
| 'type': 'parallel', | |
| 'inactiveOpacity': 0.00, | |
| 'lineStyle': { 'width': 0.5, 'opacity': 0.5 }, | |
| 'emphasis': {'lineStyle': { 'width': 3, 'opacity': 0.9 } }, | |
| 'data': studyList, | |
| } | |
| pageHTML = """ | |
| <body style="height: 100%; margin: 0"> | |
| <div id="container" style="height: 100%"></div> | |
| <script type="text/javascript" src="https://fastly.jsdelivr.net/npm/echarts@5/dist/echarts.min.js"></script> | |
| <script type="text/javascript"> | |
| var dom = document.getElementById('container'); | |
| var lnqChart = echarts.init(dom, null, { renderer: 'canvas', useDirtyRect: false }); | |
| var selectedIDList = []; | |
| lnqChart.setOption({ | |
| backgroundColor: '#333', | |
| /*legend: { bottom: 30, data: %%KEYS%%, itemGap: 20, textStyle: { color: '#fff', fontSize: 14 } },*/ | |
| visualMap: {dimension: 4}, | |
| tooltip: { padding: 10, backgroundColor: '#222', borderColor: '#777', borderWidth: 1, | |
| formatter: (params) => { | |
| let data = params.data; | |
| return ` | |
| <div> | |
| ${data[0]},${data[1]}: ${data[2]}, ${data[3]}, ${data[4]} | |
| </div> | |
| `; | |
| } | |
| }, | |
| parallel: { left: '5%', right: '18%', bottom: 100, | |
| parallelAxisDefault: { type: 'value', min: 'dataMin', max: 'dataMax', name: 'age', nameLocation: 'end', nameGap: 20, | |
| nameTextStyle: { color: '#fff', fontSize: 12 }, | |
| axisLine: { lineStyle: { color: '#aaa' } }, | |
| axisTick: { lineStyle: { color: '#777' } }, | |
| splitLine: { show: false }, axisLabel: { color: '#fff' } | |
| } | |
| }, | |
| parallelAxis: %%AXIS%%, | |
| series: %%DATA%%, | |
| }); | |
| window.addEventListener('resize', lnqChart.resize); | |
| lnqChart.on('click', (params) => { | |
| console.log(params); | |
| if (window.slicerPython && params.event.event.shiftKey) { | |
| window.slicerPython.evalPython(`loadLNQCase('${JSON.stringify(params.data)}')`); | |
| } | |
| }); | |
| lnqChart.on('axisareaselected', (params) => { | |
| console.log(params); | |
| selectedIDList = lnqChart.getModel().getSeries()[0].getData()._idList; | |
| }); | |
| </script> | |
| </body> | |
| </html> | |
| """ | |
| pageHTML = pageHTML.replace("%%AXIS%%", json.dumps(parallelAxis, indent=2)) | |
| pageHTML = pageHTML.replace("%%DATA%%", json.dumps(seriesData, indent=2)) | |
| lnqChart = slicer.qSlicerWebWidget() | |
| lnqChart.size = qt.QSize (1331, 1368) | |
| lnqChart.pos = qt.QPoint (1758, 38) | |
| lnqChart.setHtml(pageHTML) | |
| lnqChart.show() |
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