Segmenting the visible human female.
Identifieur interne : 000852 ( Ncbi/Merge ); précédent : 000851; suivant : 000853Segmenting the visible human female.
Auteurs : Ameya Malvankar [États-Unis] ; Bharti TemkinSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2006.
Descripteurs français
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- MESH :
- geographic : United States.
- Female, Humans, Imaging, Three-Dimensional, Internet, Models, Anatomic, User-Computer Interface.
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.
PubMed: 16404078
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pubmed:16404078Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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<Abstract><AbstractText>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.</AbstractText>
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