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| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 | import type { NaturalizedInstance } from '../types';
/**
* Instances shaped like the output of dcmjs `naturalizeDataset` for the series
* of the scenario tests: a multi-valued attribute is an array, a sequence is an
* array of items, a number VR is a number, and a private tag that has no
* keyword is under its 8-digit hex key.
*/
const SOP_CLASS = {
CT: '1.2.840.10008.5.1.4.1.1.2',
MR: '1.2.840.10008.5.1.4.1.1.4',
US: '1.2.840.10008.5.1.4.1.1.6.1',
USMultiFrame: '1.2.840.10008.5.1.4.1.1.3.1',
MGForPresentation: '1.2.840.10008.5.1.4.1.1.1.2',
};
const EXPLICIT_VR_LITTLE_ENDIAN = '1.2.840.10008.1.2.1';
const JPEG_BASELINE = '1.2.840.10008.1.2.4.50';
const STUDY_UID = '1.2.826.0.1.3680043.8.498.10274110315161201';
const AXIAL = [1, 0, 0, 0, 1, 0];
const CORONAL = [1, 0, 0, 0, 0, -1];
const SAGITTAL = [0, 1, 0, 0, 0, -1];
let uidCounter = 0;
function uid(seriesUid: string): string {
uidCounter += 1;
return `${seriesUid}.${uidCounter}`;
}
function common(
seriesUid: string,
fields: Record<string, unknown>
): NaturalizedInstance {
return {
StudyInstanceUID: STUDY_UID,
SeriesInstanceUID: seriesUid,
SOPInstanceUID: uid(seriesUid),
TransferSyntaxUID: EXPLICIT_VR_LITTLE_ENDIAN,
...fields,
};
}
/**
* A GE diffusion series: 32 slice positions, each with a b=0 frame and a
* b=1000 frame, 64 instances in all. GE writes the b-value only in the private
* tag (0043,1039) "Slop_int_6...9", as four integer strings; the first one is
* the b-value. DiffusionBValue (0018,9087) is absent.
*/
export function geDiffusionSeries(): NaturalizedInstance[] {
const seriesUid = '1.2.840.113619.2.312.4120.14306937.11001';
const instances: NaturalizedInstance[] = [];
for (let position = 0; position < 32; position++) {
const z = -60 + position * 4;
for (const bValue of ['0', '1000']) {
instances.push(
common(seriesUid, {
SOPClassUID: SOP_CLASS.MR,
Modality: 'MR',
Manufacturer: 'GE MEDICAL SYSTEMS',
SeriesDescription: 'DWI ASSET',
SeriesNumber: 5,
InstanceNumber: instances.length + 1,
ImageType: ['ORIGINAL', 'PRIMARY', 'AXIAL'],
ScanningSequence: 'EP',
SequenceVariant: ['SK', 'SS'],
Rows: 256,
Columns: 256,
PixelSpacing: [0.9375, 0.9375],
SliceThickness: 4,
ImageOrientationPatient: AXIAL,
ImagePositionPatient: [-120, -128.3, z],
SliceLocation: z,
EchoTime: 81.4,
RepetitionTime: 6000,
'00431039': [bValue, '8', '0', '0'],
})
);
}
}
return instances;
}
/**
* An axial T2 series of 24 slices from a scanner that writes
* DiffusionBValue = 0 into each MR image, also when the sequence has no
* diffusion weighting.
*/
export function t2SeriesWithZeroBValue(): NaturalizedInstance[] {
const seriesUid = '1.3.12.2.1107.5.2.43.66012.2026031510214587340112';
return Array.from({ length: 24 }, (_, index) => {
const z = -46 + index * 4;
return common(seriesUid, {
SOPClassUID: SOP_CLASS.MR,
Modality: 'MR',
SeriesDescription: 'AX T2 TSE',
SeriesNumber: 3,
InstanceNumber: index + 1,
ImageType: ['ORIGINAL', 'PRIMARY', 'M', 'NORM', 'DIS2D'],
ScanningSequence: 'SE',
Rows: 320,
Columns: 320,
PixelSpacing: [0.6875, 0.6875],
SliceThickness: 4,
ImageOrientationPatient: AXIAL,
ImagePositionPatient: [-110, -125.5, z],
SliceLocation: z,
DiffusionBValue: 0,
});
});
}
function ctImage(
seriesUid: string,
fields: Record<string, unknown>
): NaturalizedInstance {
return common(seriesUid, {
SOPClassUID: SOP_CLASS.CT,
Modality: 'CT',
SeriesDescription: 'CHEST W/O',
SeriesNumber: 2,
Rows: 512,
Columns: 512,
KVP: 120,
...fields,
});
}
/** The AP and the lateral localizer of a CT exam, as instances 1 and 2. */
export function ctLocalizers(seriesUid: string): NaturalizedInstance[] {
return [CORONAL, SAGITTAL].map((orientation, index) =>
ctImage(seriesUid, {
InstanceNumber: index + 1,
ImageType: ['ORIGINAL', 'PRIMARY', 'LOCALIZER'],
PixelSpacing: [0.976, 0.7],
ImageOrientationPatient: orientation,
ImagePositionPatient: [-250, 0, 120],
})
);
}
/**
* A CT series that holds its two localizers (instances 1 and 2) and then 40
* axial slices of 5 mm, as some scanners store them.
*/
export function ctSeriesWithScouts(): NaturalizedInstance[] {
const seriesUid = '1.2.392.200036.9116.2.6.1.48.1214833767.1612345678.112233';
const axial = Array.from({ length: 40 }, (_, index) => {
const z = 100 - index * 5;
return ctImage(seriesUid, {
InstanceNumber: index + 3,
ImageType: ['ORIGINAL', 'PRIMARY', 'AXIAL'],
PixelSpacing: [0.703, 0.703],
SliceThickness: 5,
ImageOrientationPatient: AXIAL,
ImagePositionPatient: [-180, -180, z],
SliceLocation: z,
});
});
return [...ctLocalizers(seriesUid), ...axial];
}
function usImage(
seriesUid: string,
time: string,
fields: Record<string, unknown>
): NaturalizedInstance {
return common(seriesUid, {
Modality: 'US',
SeriesDescription: 'US ABDOMEN',
SeriesNumber: 1,
Rows: 600,
Columns: 800,
SamplesPerPixel: 3,
PhotometricInterpretation: 'YBR_FULL_422',
TransferSyntaxUID: JPEG_BASELINE,
AcquisitionDateTime: `20260315${time}.000000`,
SequenceOfUltrasoundRegions: [
{
RegionSpatialFormat: 1,
RegionDataType: 1,
PhysicalUnitsXDirection: 3,
PhysicalUnitsYDirection: 3,
PhysicalDeltaX: 0.0213,
PhysicalDeltaY: 0.0213,
},
],
...fields,
});
}
/**
* An ultrasound series in acquisition order: a sweep of 5 single images
* (10:15:00 to 10:15:08), a cine clip at 10:15:40, a sweep of 4 single images
* (10:16:30 to 10:16:36), and a cine clip at 10:17:20. Each gap between the
* parts is longer than 20 seconds. The clips carry no SliceLocation, as US
* clips usually do not.
*/
export function usSweepsAndClips(): {
instances: NaturalizedInstance[];
sweeps: NaturalizedInstance[][];
clips: NaturalizedInstance[];
} {
const seriesUid = '1.2.840.113663.1500.1.460388269.2.1.20260315.101500.123';
let instanceNumber = 0;
const still = (time: string) =>
usImage(seriesUid, time, {
SOPClassUID: SOP_CLASS.US,
InstanceNumber: ++instanceNumber,
ImageType: ['ORIGINAL', 'PRIMARY', 'ABDOMINAL', '0001'],
});
const clip = (time: string) =>
usImage(seriesUid, time, {
SOPClassUID: SOP_CLASS.USMultiFrame,
InstanceNumber: ++instanceNumber,
ImageType: ['ORIGINAL', 'PRIMARY', 'ABDOMINAL', '0011'],
NumberOfFrames: 120,
FrameTime: 33.33,
CineRate: 30,
FrameIncrementPointer: 0x00181063,
});
const sweep1 = ['101500', '101502', '101504', '101506', '101508'].map(still);
const clip1 = clip('101540');
const sweep2 = ['101630', '101632', '101634', '101636'].map(still);
const clip2 = clip('101720');
return {
instances: [...sweep1, clip1, ...sweep2, clip2],
sweeps: [sweep1, sweep2],
clips: [clip1, clip2],
};
}
const MAMMO_VIEW_CODES = {
CC: {
CodeValue: 'R-10242',
CodingSchemeDesignator: 'SRT',
CodeMeaning: 'cranio-caudal',
},
MLO: {
CodeValue: 'R-10226',
CodingSchemeDesignator: 'SRT',
CodeMeaning: 'medio-lateral oblique',
},
};
/**
* The four views of a screening mammogram in one series: RCC, LCC, RMLO and
* LMLO, all of one image size. The vendor sends ViewCodeSequence,
* ImageLaterality and PatientOrientation, and no ViewPosition.
*/
export function fourViewMammogram(): NaturalizedInstance[] {
const seriesUid = '1.2.840.113681.2863050711.1599.3770412345.71';
const views: [string, 'CC' | 'MLO', string[]][] = [
['R', 'CC', ['P', 'L']],
['L', 'CC', ['A', 'R']],
['R', 'MLO', ['P', 'FL']],
['L', 'MLO', ['A', 'FR']],
];
return views.map(([laterality, view, orientation], index) =>
common(seriesUid, {
SOPClassUID: SOP_CLASS.MGForPresentation,
Modality: 'MG',
SeriesDescription: 'Screening Mammography',
SeriesNumber: 71,
InstanceNumber: index + 1,
ImageType: ['ORIGINAL', 'PRIMARY'],
PresentationIntentType: 'FOR PRESENTATION',
Rows: 4096,
Columns: 3328,
ImagerPixelSpacing: [0.07, 0.07],
ImageLaterality: laterality,
PatientOrientation: orientation,
ViewCodeSequence: [
{ ...MAMMO_VIEW_CODES[view], ViewModifierCodeSequence: [] },
],
})
);
}
/** The SOPInstanceUID of each instance, in order. */
export function uidsOf(instances: readonly NaturalizedInstance[]): unknown[] {
return instances.map((instance) => instance.SOPInstanceUID);
}
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