Holoscan Sample App Data for AI-based Bone Scoliosis Segmentation

Overview

This resource contains the spine ultrasound segmentation model for scoliosis visualization and measurement developed by Richard Brown at King's College London, as well as a sample ultrasound video.

Model

The AI model expects a gray-scale image of 256 x 256 and outputs a semantic segmentation of the same size with two channels representing

bone contours with hyperechoic lines (foreground),
hyperechoic acoustic shadow (background).

Note: The provided model is in ONNX format. It will automatically be converted into a TensorRT model (.engine) the first time it is processed by a Holoscan application.

Inputs

INPUT__0 - Graysale ultrasound input image\n
- shape=[3, 256, 256]
- dtype=float32
- range=[0,1]
\n

Outputs

OUTPUT__0 - 2-channel semantic segmentation of ultrasound image (hyperechoic lines, hyperechoic acoustic shadow)\n
- shape=[2, 256, 256]
- dtype=float32
- range=[0,1]
\n

Video Data

The sample data, originating from T. Ungi et al. (2020), is an ultrasound video with a spine identified by the model.

Note: the .avi file must be converted into a GXF tensor file using the convert_video_to_gxf_entities.py script on GitHub to be used with the VideoStreamReplayer Holoscan operator.

License

Refer to LICENSE.md supplied within, and to the license agreement for use of the sample data.

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It will automatically be converted into a TensorRT model (.engine) the first time it is processed by a Holoscan application._\n\n### Inputs\n\n- `INPUT__0` - Graysale ultrasound input image\n - `shape=[3, 256, 256]`\n - `dtype=float32`\n - `range=[0,1]`\n\n### Outputs\n\n- `OUTPUT__0` - 2-channel semantic segmentation of ultrasound image (hyperechoic lines, hyperechoic acoustic shadow)\n - `shape=[2, 256, 256]`\n - `dtype=float32`\n - `range=[0,1]`\n\n## Video Data\n\nThe sample data, originating from [T. Ungi et al. (2020)](https://ieeexplore.ieee.org/document/9034149), is an ultrasound video with a spine identified by the model.\n\n_Note: the .avi file must be converted into a GXF tensor file using the `convert_video_to_gxf_entities.py` script on [GitHub](https://github.com/nvidia-holoscan/holoscan-sdk/tree/main/scripts#convert_video_to_gxf_entitiespy) to be used with the `VideoStreamReplayer` Holoscan operator._\n\n## License\n\nRefer to `LICENSE.md` supplied within, and to the [license agreement](https://developer.nvidia.com/clara-holoscan-EULA) for use of the sample data.","displayName","Ultrasound Sample App Data",["D",1722540831536],"publisher","NVIDIA","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/clara-holoscan/resources/holoscan_ultrasound_sample_data","rawImageUrl","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_164":1454,"_166":1455},"ngcApps",[1407],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1389":1390,"_1391":1392,"_1393":1394,"_1395":1396,"_1397":292,"_110":316,"_1398":1399,"_1387":60,"_1400":91,"_1401":91,"_1402":1403,"_1404":91,"_1405":1406},"amplitude",{"_1385":1386,"_1387":60,"_988":-7,"_1388":35},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmNoaW5hTmltRGlzdHJpYnV0b3JzUmVkZXNpZ24lMjIlM0F0cnVlJTJDJTIyZW5hYmxlQ3NhV2lkZ2V0JTIyJTNBZmFsc2UlMkMlMjJlbmFibGVQcm9kdWN0R3JvdXBpbmdCeVN1YnNjcmlwdGlvbiUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0xJTIyJTNBZmFsc2UlN0Q=","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1379":1380,"_1381":1382,"_1383":1384},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"locale","en","ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"1.4.0","defaultSearchSuggestions",{"_1263":138,"_1264":1265,"_1266":1267,"_1268":1269},"announcements",[],"consentState",{"_354":1253,"_1254":91,"_1255":35,"_1256":35,"_1257":1258},"consentConfig",{"_336":337,"_338":339,"_340":341,"_342":343,"_344":345,"_346":347,"_348":349,"_350":351,"_352":353,"_354":355},"showContactAdmin",1783316365990,[],[],[330,331,332,333,334,335],{"_49":63,"_51":74,"_53":159,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":70,"_53":159,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":68,"_53":159,"_55":-5,"_57":-5,"_59":60},{"_49":63,"_51":64,"_53":159,"_55":-5,"_57":-5,"_59":60},{"_49":61,"_51":62,"_53":159,"_55":-5,"_57":-5,"_59":60},{"_49":50,"_51":52,"_53":159,"_55":-5,"_57":-5,"_59":60},"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. 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	Files	Compressed Size
20240801	4	3.04 MB	August 1, 2024 UTC
20230222Selected	4	3.56 MB	March 17, 2023 UTC
20220608	8	133.09 MB	June 17, 2022 UTC