GPU-accelerated elastic 3D image registration for intra-surgical applications

被引：19

作者：

Ruijters, Daniel ^{[1
,2
,3
]}

Romeny, Bart M. ter Haar ^{[2
]}

Suetens, Paul ^{[3
]}

机构：

[1] Philips Healthcare, Intervent Xray Innovat, NL-5680 DA Best, Netherlands

[2] Tech Univ Eindhoven, Eindhoven, Netherlands

[3] Katholieke Univ Leuven, Univ Ziekenhuis Gasthuisberg, ESAT Radiol, Louvain, Belgium

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2011年 / 103卷 / 02期

关键词：

Intraoperative brain deformation; Image guided neurosurgery; Non-rigid image registration; Parallel algorithms; Graphics processing unit; NONRIGID REGISTRATION;

D O I：

10.1016/j.cmpb.2010.08.014

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Local motion within intra-patient biomedical images can be compensated by using elastic image registration. The application of B-spline based elastic registration during interventional treatment is seriously hampered by its considerable computation time. The graphics processing unit (GPU) can be used to accelerate the calculation of such elastic registrations by using its parallel processing power, and by employing the hardwired tri-linear interpolation capabilities in order to efficiently perform the cubic B-spline evaluation. In this article it is shown that the similarity measure and its derivatives also can be calculated on the GPU, using a two pass approach. On average a speedup factor 50 compared to a straight-forward CPU implementation was reached. (C) 2010 Elsevier Ireland Ltd. All rights reserved.

引用

页码：104 / 112

页数：9

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