Literature DB >> 16506202

An interactive three-dimensional virtual body structures system for anatomical training over the internet.

Bharti Temkin1, Eric Acosta, Ameya Malvankar, Sreeram Vaidyanath.   

Abstract

The Visible Human digital datasets make it possible to develop computer-based anatomical training systems that use virtual anatomical models (virtual body structures-VBS). Medical schools are combining these virtual training systems and classical anatomy teaching methods that use labeled images and cadaver dissection. In this paper we present a customizable web-based three-dimensional anatomy training system, W3D-VBS. W3D-VBS uses National Library of Medicine's (NLM) Visible Human Male datasets to interactively locate, explore, select, extract, highlight, label, and visualize, realistic 2D (using axial, coronal, and sagittal views) and 3D virtual structures. A real-time self-guided virtual tour of the entire body is designed to provide detailed anatomical information about structures, substructures, and proximal structures. The system thus facilitates learning of visuospatial relationships at a level of detail that may not be possible by any other means. The use of volumetric structures allows for repeated real-time virtual dissections, from any angle, at the convenience of the user. Volumetric (3D) virtual dissections are performed by adding, removing, highlighting, and labeling individual structures (and/or entire anatomical systems). The resultant virtual explorations (consisting of anatomical 2D/3D illustrations and animations), with user selected highlighting colors and label positions, can be saved and used for generating lesson plans and evaluation systems. Tracking users' progress using the evaluation system helps customize the curriculum, making W3D-VBS a powerful learning tool. Our plan is to incorporate other Visible Human segmented datasets, especially datasets with higher resolutions, that make it possible to include finer anatomical structures such as nerves and small vessels. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16506202     DOI: 10.1002/ca.20230

Source DB:  PubMed          Journal:  Clin Anat        ISSN: 0897-3806            Impact factor:   2.414


  5 in total

1.  RepliExplore: coupling physical and virtual anatomy models.

Authors:  Mathias Seitel; Lena Maier-Hein; Alexander Seitel; Alfred M Franz; Hannes Kenngott; Raffaele De Simone; Ivo Wolf; Hans-Peter Meinzer
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-03       Impact factor: 2.924

2.  Creating vascular models by postprocessing computed tomography angiography images: a guide for anatomical education.

Authors:  Figen Govsa; Mehmet Asim Ozer; Suzan Sirinturk; Cenk Eraslan; Ahmet Kemal Alagoz
Journal:  Surg Radiol Anat       Date:  2017-02-06       Impact factor: 1.246

Review 3.  Whole-animal imaging, gene function, and the Zebrafish Phenome Project.

Authors:  Keith C Cheng; Xuying Xin; Darin P Clark; Patrick La Riviere
Journal:  Curr Opin Genet Dev       Date:  2011-09-28       Impact factor: 5.578

4.  Gesture-controlled interactive three dimensional anatomy: a novel teaching tool in head and neck surgery.

Authors:  Jordan B Hochman; Bertram Unger; Jay Kraut; Justyn Pisa; Sabine Hombach-Klonisch
Journal:  J Otolaryngol Head Neck Surg       Date:  2014-10-07

5.  Anatomy of Teaching Anatomy: Do Prosected Cross Sections Improve Students Understanding of Spatial and Radiological Anatomy?

Authors:  L B Samarakoon; S Vithoosan; S Kokulan; M M Dissanayake; D J Anthony; Vajira Dissanayake; Rohan Jayasekara
Journal:  Anat Res Int       Date:  2016-08-08
  5 in total

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