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Development of the Slicer is an ongoing collaboration between the MIT Artificial Intelligence Lab and the Surgical Planning Lab at Brigham & Women’s Hospital, an affiliate of Harvard Medical School.
The 3D Slicer uniquely integrates several facets of image-guided medicine into a single environment. It provides capabilities for automatic registration (aligning data sets), semi-automatic segmentation (extracting structures such as vessels and tumors from the data), generation of 3D surface models (for viewing the segmented structures), 3D visualization, and quantitative analysis (measuring distances, angles, surface areas, and volumes) of various medical scans.
We integrated the 3D Slicer with an open MR scanner to augment intra-operative imaging with a full array of pre-operative data. The same analysis previously reserved for pre-operative data can now be applied to exploring the anatomical changes as the surgery progresses. Surgical instruments are tracked and used to drive the location of reformatted slices. Real-time scans are visualized as slices in the same 3D view along with the pre-operative slices and surface models. The system has been applied in over 20 neurosurgical cases at Brigham and Women’s Hospital, and continues to be routinely used for 1-2 cases per week.
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