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Proceedings Paper

A new approach of building 3D visualization framework for multimodal medical images display and computed assisted diagnosis
Author(s): Zhenwei Li; Jianyong Sun; Jianguo Zhang
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Paper Abstract

As more and more CT/MR studies are scanning with larger volume of data sets, more and more radiologists and clinician would like using PACS WS to display and manipulate these larger data sets of images with 3D rendering features. In this paper, we proposed a design method and implantation strategy to develop 3D image display component not only with normal 3D display functions but also with multi-modal medical image fusion as well as compute-assisted diagnosis of coronary heart diseases. The 3D component has been integrated into the PACS display workstation of Shanghai Huadong Hospital, and the clinical practice showed that it is easy for radiologists and physicians to use these 3D functions such as multi-modalities' (e.g. CT, MRI, PET, SPECT) visualization, registration and fusion, and the lesion quantitative measurements. The users were satisfying with the rendering speeds and quality of 3D reconstruction. The advantages of the component include low requirements for computer hardware, easy integration, reliable performance and comfortable application experience. With this system, the radiologists and the clinicians can manipulate with 3D images easily, and use the advanced visualization tools to facilitate their work with a PACS display workstation at any time.

Paper Details

Date Published: 16 February 2012
PDF: 10 pages
Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 831911 (16 February 2012); doi: 10.1117/12.911052
Show Author Affiliations
Zhenwei Li, Shanghai Institute of Technical Physics (China)
Henan Univ. of Science and Technology (China)
Jianyong Sun, Shanghai Institute of Technical Physics (China)
Jianguo Zhang, Shanghai Institute of Technical Physics (China)


Published in SPIE Proceedings Vol. 8319:
Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications
William W. Boonn; Brent J. Liu, Editor(s)

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