AnatLab: "Google Earth for the human body."
(... showed medical anatomy images from cadavers! ...)
Tcl dogfood used to develop AnatLab:
Image processing: Img used on anatomical object data (~2500 objects) and imagemaps (1878 maps) to populate a sqlite database with object names and object section ranges, and to create section images with highlighted objects (tkimgwin.kit also used).
Summer '08 Annotation Team: anatomist, neuro-anatomist, 4 medical students, quality control assistants and a programmer. QC assistance used SQLite-adapted "A little image viewer" (by RS) to look at highlighted section images to visually compare between the AnatLab and the National Library of Medicine's "Atlas of the Visible Human Male" printed atlas. Medical students took Mike Doyle's tcl-based annotator program, anatomists' directions, a QC comparison and their medical education background to add approximately 150 new objects and 6,700 new annotations to the current atlas. [showed example of the annotation tool and how it was used] These annotations were used to create a new imagemaps and new highlighted section images for feedback and corrections. The special case of preserving old objects within newly annotated objects was also covered. SEH replaced the original Java mapping tool with a Tcl version (and it runs faster).
Plus various long-term enhancements and bug fixes.
(... Mike Doyle ran a live demo ...)