World Wide Web interface for advanced SPECT reconstruction algorithms implemented on a remote massively parallel computer

被引:10
作者
Formiconi, AR [1 ]
Passeri, A
Guelfi, MR
Masoni, M
Pupi, A
Meldolesi, U
Malfetti, P
Calori, L
Guidazzoli, A
机构
[1] Univ Florence, Dept Clin Physiopathol, Florence, Italy
[2] CINECA, Bologna, Italy
关键词
single photon emission tomography; reconstruction algorithms; medical images; parallel computer; high performance computing and technology; WWW;
D O I
10.1016/S1386-5056(97)00089-0
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data from Single Photon Emission Computed Tomography (SPECT) studies are blurred by inevitable physical phenomena occurring during data acquisition. These errors may be compensated by means of reconstruction algorithms which take into account accurate physical models of the data acquisition procedure. Unfortunately, this approach involves high memory requirements as well as a high computational burden which cannot be afforded by the computer systems of SPECT acquisition devices. In this work the possibility of accessing High Performance Computing and Networking (HPCN) resources through a World Wide Web interface for the advanced reconstruction of SPECT data in a clinical environment was investigated. An iterative algorithm with an accurate model of the variable system response was ported on the Multiple Instruction Multiple Data (MIMD) parallel architecture of a Cray T3D massively parallel computer. The system was accessible even from low cost PC-based workstations through standard TCP/IP networking. A speedup Factor of 148 was predicted by the benchmarks run on the Gray T3D. A complete brain study of 30 (64 x 64) slices was reconstructed from a set of 90 (64 x 64) projections with ten iterations of the conjugate gradients algorithm in 9 s which corresponds to an actual speed-up factor of 135. The technique was extended to a more accurate 3D modeling of the system response for a true 3D reconstruction of SPECT data, the reconstruction time of the same data set with this more accurate model was 5 min. This work demonstrates the possibility of exploiting remote HPCN resources from hospital sites by means of low cost workstations using standard communication protocols and an user-friendly WWW interface without particular problems for routine use. (C) 1997 Elsevier Science B.V.
引用
收藏
页码:125 / 138
页数:14
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