Label Studio 官方最新动态：Annotating DICOM without flattening it to PNGs

来源：Label Studio 官方动态 | 发布日期：September 30, 2026

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Annotating DICOM without flattening it to PNGs

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Annotating DICOM without flattening it to PNGs Most medical imaging teams throw the file format away before anyone labels anything. A study goes into a conversion script and comes out as a folder of PNGs. What stays behind: the windowing ranges the technician set, the structures the file already encodes, the geometry linking one slice to the next, and the acquisition metadata. Your annotators then label flat images in a general-purpose image tool and rebuild the volumetric context in their heads. We built a DICOM annotation interface that reads the file itself. Here is what that makes possible. Read the study in the views your domain uses The interface reconstructs the study from the DICOM and renders two views at once: a frontal reconstruction and a side reconstruction. A slider moves you through the volume. Scrub in from the surface of the face and you pass through soft tissue into bone, with both views tracking the same position. Zoom, pan, and a reset control cover the rest. Compare that to an exported image stack, where your annotator cannot tell where a slice sits in the volume or what lies above and below it. Window the scan instead of accepting one grayscale The same pixel data shows different anatomy depending on the grayscale range you map it to. A window tuned for bone renders soft tissue as flat grey. A soft-tissue window loses the skeletal detail.

更多技术细节可访问官方原文：https://labelstud.io/blog/dicom-medical-image-annotation-label-studio。