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Transforming clinical imaging data for virtual reality learning objects.
Anat Sci Educ. 2008 Mar-Apr; 1(2):50-5.AS

Abstract

Advances in anatomical informatics, three-dimensional (3D) modeling, and virtual reality (VR) methods have made computer-based structural visualization a practical tool for education. In this article, the authors describe streamlined methods for producing VR "learning objects," standardized interactive software modules for anatomical sciences education, from newer high-resolution clinical imaging systems data. The key program is OsiriX, a free radiological image processing workstation software capable of directly reformatting and rendering volumetric 3D images. The transformed image arrays are then directly loaded into a commercial VR program to produce a variety of learning objects. Multiple types or "dimensions" of anatomical information can be embedded in these objects to provide different kinds of functions, including interactive atlases, examination questions, and complex, multistructure presentations. The use of clinical imaging data and workstation software speeds up the production of VR simulations, compared with reconstruction-based modeling from segmented cadaver cross-sections, while providing useful examples of normal structural variation and pathological anatomy.

Authors+Show Affiliations

Department of Pathology and Laboratory Medicine, UCLA Center for the Health Sciences, Los Angeles, California, USA. trelease@ucla.eduNo affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

19177381

Citation

Trelease, Robert B., and Antoine Rosset. "Transforming Clinical Imaging Data for Virtual Reality Learning Objects." Anatomical Sciences Education, vol. 1, no. 2, 2008, pp. 50-5.
Trelease RB, Rosset A. Transforming clinical imaging data for virtual reality learning objects. Anat Sci Educ. 2008;1(2):50-5.
Trelease, R. B., & Rosset, A. (2008). Transforming clinical imaging data for virtual reality learning objects. Anatomical Sciences Education, 1(2), 50-5. https://doi.org/10.1002/ase.13
Trelease RB, Rosset A. Transforming Clinical Imaging Data for Virtual Reality Learning Objects. Anat Sci Educ. 2008 Mar-Apr;1(2):50-5. PubMed PMID: 19177381.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Transforming clinical imaging data for virtual reality learning objects. AU - Trelease,Robert B, AU - Rosset,Antoine, PY - 2009/1/30/entrez PY - 2009/1/30/pubmed PY - 2009/2/27/medline SP - 50 EP - 5 JF - Anatomical sciences education JO - Anat Sci Educ VL - 1 IS - 2 N2 - Advances in anatomical informatics, three-dimensional (3D) modeling, and virtual reality (VR) methods have made computer-based structural visualization a practical tool for education. In this article, the authors describe streamlined methods for producing VR "learning objects," standardized interactive software modules for anatomical sciences education, from newer high-resolution clinical imaging systems data. The key program is OsiriX, a free radiological image processing workstation software capable of directly reformatting and rendering volumetric 3D images. The transformed image arrays are then directly loaded into a commercial VR program to produce a variety of learning objects. Multiple types or "dimensions" of anatomical information can be embedded in these objects to provide different kinds of functions, including interactive atlases, examination questions, and complex, multistructure presentations. The use of clinical imaging data and workstation software speeds up the production of VR simulations, compared with reconstruction-based modeling from segmented cadaver cross-sections, while providing useful examples of normal structural variation and pathological anatomy. SN - 1935-9780 UR - https://www.unboundmedicine.com/medline/citation/19177381/Transforming_clinical_imaging_data_for_virtual_reality_learning_objects_ L2 - https://doi.org/10.1002/ase.13 DB - PRIME DP - Unbound Medicine ER -