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Proceedings Paper

Real-time dynamic display of registered 4D cardiac MR and ultrasound images using a GPU
Author(s): Q. Zhang; X. Huang; R. Eagleson; G. Guiraudon; T. M. Peters
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Paper Abstract

In minimally invasive image-guided surgical interventions, different imaging modalities, such as magnetic resonance imaging (MRI), computed tomography (CT), and real-time three-dimensional (3D) ultrasound (US), can provide complementary, multi-spectral image information. Multimodality dynamic image registration is a well-established approach that permits real-time diagnostic information to be enhanced by placing lower-quality real-time images within a high quality anatomical context. For the guidance of cardiac procedures, it would be valuable to register dynamic MRI or CT with intraoperative US. However, in practice, either the high computational cost prohibits such real-time visualization of volumetric multimodal images in a real-world medical environment, or else the resulting image quality is not satisfactory for accurate guidance during the intervention. Modern graphics processing units (GPUs) provide the programmability, parallelism and increased computational precision to begin to address this problem. In this work, we first outline our research on dynamic 3D cardiac MR and US image acquisition, real-time dual-modality registration and US tracking. Then we describe image processing and optimization techniques for 4D (3D + time) cardiac image real-time rendering. We also present our multimodality 4D medical image visualization engine, which directly runs on a GPU in real-time by exploiting the advantages of the graphics hardware. In addition, techniques such as multiple transfer functions for different imaging modalities, dynamic texture binding, advanced texture sampling and multimodality image compositing are employed to facilitate the real-time display and manipulation of the registered dual-modality dynamic 3D MR and US cardiac datasets.

Paper Details

Date Published: 22 March 2007
PDF: 11 pages
Proc. SPIE 6509, Medical Imaging 2007: Visualization and Image-Guided Procedures, 65092D (22 March 2007); doi: 10.1117/12.710682
Show Author Affiliations
Q. Zhang, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
X. Huang, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
R. Eagleson, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)
Canadian Surgical Technology and Advanced Robotics (CSTAR) (Canada)
G. Guiraudon, Robarts Research Institute (Canada)
Canadian Surgical Technology and Advanced Robotics (CSTAR) (Canada)
T. M. Peters, Robarts Research Institute (Canada)
Univ. of Western Ontario (Canada)


Published in SPIE Proceedings Vol. 6509:
Medical Imaging 2007: Visualization and Image-Guided Procedures
Kevin R. Cleary; Michael I. Miga, Editor(s)

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