Real-time multimodal medical image processing: a dynamic volume-rendering application

A system for medical image processing has been proposed, which allows multimodal dynamic three-dimensional (3-D) visualization interactively and in real time. The system has been conceived to support medical specialists in the diagnosis of moving organs, such as the heart during the cardiac cycle, allowing them to compare information on perfusion/contraction match as a basis for diagnosis of important cardiovascular diseases. The 3-D volume rendering algorithm runs on a SIMD machine because of the great amount of data to be manipulated by always using the same operations. One of the features of the algorithm is the possibility to change, interactively, image processing and visualization parameters at any step, and to perform simple and effective image manipulations. Performance studies have demonstrated a very high global efficiency in practical situations by using typical data-volume dimensions. The system has been tested in the medical environment, by using magnetic resonance (MR) and single-photon emission-computed tomographic (SPECT) images.

[1]  Pier Stanislao Paolucci,et al.  The APE-100 Computer: (I) the Architecture , 1993, Int. J. High Speed Comput..

[2]  Marc Levoy,et al.  Parallel visualization algorithms: performance and architectural implications , 1994, Computer.

[3]  Minesh B. Amin,et al.  Fast volume rendering using an efficient, scalable parallel formulation of the shear-warp algorithm , 1995, PRS.

[4]  Guillaume Colin de Verdi,et al.  Binary-Swap Volumetric Rendering on the T 3 DChuck , 1995 .

[5]  William M. Hsu.  Segmented ray casting for data parallel volume rendering , 1993 .

[6]  Philippe Lacroute,et al.  Analysis of a Parallel Volume Rendering System Based on the Shear-Warp Factorization , 1996, IEEE Trans. Vis. Comput. Graph..

[7]  Steven K. Feiner,et al.  Introduction to Computer Graphics , 1993 .

[8]  Luigi Landini,et al.  A Parallel Volume Rendering Algorithm: Performance Analysis and Implication in Medicine , 1997, PDPTA.

[9]  Pier Stanislao Paolucci,et al.  The Teraflop Parallel Computer APEmille , 1997, HPCN Europe.

[10]  Charles Hansen,et al.  Parallel rendering techniques for massively parallel visualization , 1995, Proceedings of IEEE International Symposium on Parallel Algorithms Architecture Synthesis.

[11]  Arun K. Somani,et al.  Permutation warping for data parallel volume rendering , 1993 .

[12]  Kwan-Liu Ma,et al.  Parallel Volume Rendering Using Binary-Swap Image Composition , 2008, International Conference on Computer Graphics and Interactive Techniques.

[13]  Charles D. Hansen,et al.  Massively Parallel Visualization: Parallel Rendering , 1995, PPSC.

[14]  M. Levoy,et al.  Fast volume rendering using a shear-warp factorization of the viewing transformation , 1994, SIGGRAPH.

[15]  Luigi Landini,et al.  A Parallel System for Dynamic 3D Medical Imaging , 1997, HPCN Europe.

[16]  C. Barillot,et al.  Surface and volume rendering techniques to display 3-D data , 1993, IEEE Engineering in Medicine and Biology Magazine.