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3D Printing, Visualization, and Immersive Display

Model and 3D print out of the head of the VHP male dataset.
Project information

The 3D Printing, Visualization, and Immersive Display project is studying how to represent, display, and present biomedical information that is inherently more than two-dimensional, in order to maximize user understanding and retention of the underlying knowledge. Such biomedical information includes three-dimensional data, tactile information, and information best represented in a Cartesian coordinate system. Current investigations are using layered manufacturing systems, stereo projection displays, and advanced computer graphics and animation programming techniques to advance 3D visual communication. This project is an extension of informatics beyond the collection and indexing of information.

Hristovski D, Kastrin A, Dinevski D, Rindflesch TC. Constructing a Graph Database for Semantic Literature-Based Discovery. Stud Health Technol Inform. 2015;216:1094.
Uy RC, Sarmiento RF, Gavino A, Fontelo P. Confidence and Information Access in Clinical Decision-Making: An Examination of the Cognitive Processes that affect the Information-seeking Behavior of Physicians. AMIA Annu Symp Proc. 2014 Nov 14;2014:1134-40. eCollection 2014.
Yoo TS, Ackerman MJ, Chen D, Lowekamp B, Kuybeda O, Santoroski J. 3D Informatics April 2014 Technical Report to the LHNCBC Board of Scientific Counselors.
Fung K, Kayaalp M, Callaghan FM, McDonald CJ. Comparison of electronic pharmacy prescription records with manually collected medication histories in an emergency department. Ann Emerg Med. 2013 Sep;62(3):205-11. doi: 10.1016/j.annemergmed.2013.04.014. Epub 2013 May 18.
Liu J, Subramanian KR, Yoo TS. An optical flow approach to tracking colonoscopy video. Comput Med Imaging Graph. 2013 Apr;37(3):207-23. doi: 10.1016/j.compmedimag.2013.01.010. Epub 2013 Mar 13.
Liu J, Subramanian K, Yoo TS. A Phantom Design for Validating Colonoscopy Tracking. Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 83151N (23 February 2012); doi: 10.1117/12.912395;
Caban JJ, Rheingans P, Yoo TS. An Evaluation of Visualization Techniques to Illustrate Statistical Deformation Models. Computer Graphics Forum. 2011 May-Jun;30(3):821-30. doi:10.1111/j.1467-8659.2011.01931.x.
Caban JJ, Yao J, Mollura DJ, Liao D, Yoo TS. Enhancing image analytic tools by fusing quantitative physiological values with image features. In: SIIM [Society for Imaging Informatics in Medicine] 2011 Scientific Abstract Book. SIIM Annual Meeting Learning Track 1 Scientific Sessions: Advanced Visualization: Making Advanced Visualization Tools Work for You; 2011 Jun 2-5; Washington DC/National Harbor, Maryland.
Yoo TS, Hamilton T, Hurt D, Caban J, Liao D, Chen D. Toward Quantitative X-Ray CT Phantoms of Metastatic Tumors Using Rapid Prototyping Technology. In: Pan X, Liebling M, editors. Proceedings of ISBI 2011: IEEE Computer Society International Symposium on Biomedical Imaging: From Nano to Macro; 2011 Mar 30-Apr 2; Chicago. p. 1770-3. DOI: 10.1109/ISBI.2011.5872749.
Caban JJ, Liao D, Yao J, Mollura DJ, Gochuico B, Yoo TS. Enhancing image classification models with multimodal biomarkers. In: Summers RM, van Ginneken B, editors. Proceedings of SPIE Medical Imaging 2011: Computer-Aided Diagnosis; 2011 Feb 12-17; Lake Buena Vista (Orlando area), Florida;7963:9 pages. DOI: 10.1117/12.878084.