title: Segmenting the visible human female.
abstract: Web-based three-dimensional Virtual Body Structures (W3D-VBS) is an interactive image-based anatomical training system over the Internet. It uses segmented low-resolution Visible Human Male (LR-VHM) data to dynamically explore, select, highlight, label, extract, manipulate, and stereoscopically palpate 3D virtual anatomical models with a haptic device. The segmentation results presented in this paper for the Visible Human Female (VHF) and the high resolution Visible Human Male (HR-VHM) have been obtained using our segmentation tools. Segmenting the HR-VHM was an easier task as we use the segmented shapes and label information of existing LR-VHM data, with the same image content. This is not the case for the VHF and we needed to develop a special tool, Segm-VHF, which allows us to integrate the VHF dataset into W3D-VBS.
authors.affiliation: Department of Computer Science, Texas Tech University, USA.
authors.forename: Ameya
authors.initials: A
authors.lastname: Malvankar
authors.forename: Bharti
authors.initials: B
authors.lastname: Temkin
mesh_terms: D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D020407:Internet; D008953:Models, Anatomic; D014481:United States; D014584:User-Computer Interface