Virtual Reality and Visualization of 3D Reconstructed Medical Imaging: Learning Variations Within Detailed Human Anatomies
| Autor: | Tinen L. Iles, Paul A. Iaizzo, Lars M. Mattison, Alexander R. Mattson, Alex J. Deakyne, Mikayle A. Holm, Jorge D. Zhingre Sanchez, Erik Gaasedelen, Megan M. Schmidt, Michael G. Bateman |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Clinical science 3d model 02 engineering and technology 030204 cardiovascular system & hematology Virtual reality Field (computer science) Visualization 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine Human–computer interaction Medical imaging Relevance (information retrieval) Video game |
| Zdroj: | Advances in Intelligent Systems and Computing ISBN: 9783030630911 |
| DOI: | 10.1007/978-3-030-63092-8_14 |
| Popis: | The emerging field of virtual reality has many promising new applications for the medical sciences. For example, by converting magnetic resonance and tomography-based images into 3D models, users can visually inspect individualized anatomic reconstructions at clinically useful high resolutions. Yet, adequate development of these tools will require a wide breadth of associated expertise to take advantage of current video game technologies while maintaining relevance for clinical use. Our laboratory has begun to implement such system approaches for the exploration of hearts, cadaveric specimens, and medical device-tissue interactions. We have created hundreds of anatomical scenes that were developed using physician feedback from conferences worldwide. We demonstrate several aspects of the potential applicability of virtual reality to serve both clinical science and education, and additionally discuss future prospects. |
| Databáze: | OpenAIRE |
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