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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Implementation and evaluation of various demons deformable image registration algorithms on a GPU
Physics in medicine & biology, v 55(1), pp 207-219
07 Jan 2010
PMID: 20009197
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Online adaptive radiation therapy (ART) promises the ability to deliver an optimal treatment in response to daily patient anatomic variation. A major technical barrier for the clinical implementation of online ART is the requirement of rapid image segmentation. Deformable image registration (DIR) has been used as an automated segmentation method to transfer tumor/organ contours from the planning image to daily images. However, the current computational time of DIR is insufficient for online ART. In this work, this issue is addressed by using computer graphics processing units (GPUs). A gray-scale-based DIR algorithm called demons and five of its variants were implemented on GPUs using the compute unified device architecture (CUDA) programming environment. The spatial accuracy of these algorithms was evaluated over five sets of pulmonary 4D CT images with an average size of 256 x 256 x 100 and more than 1100 expert-determined landmark point pairs each. For all the testing scenarios presented in this paper, the GPU-based DIR computation required around 7 to 11 s to yield an average 3D error ranging from 1.5 to 1.8 mm. It is interesting to find out that the original passive force demons algorithms outperform subsequently proposed variants based on the combination of accuracy, efficiency and ease of implementation.
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Details
- Title
- Implementation and evaluation of various demons deformable image registration algorithms on a GPU
- Creators
- Xuejun Gu - University of California, San DiegoHubert Pan - University of California, San DiegoYun Liang - University of California, San DiegoRichard Castillo - The University of Texas MD Anderson Cancer CenterDeshan Yang - Washington University in St. LouisDongju Choi - University of California, San DiegoEdward Castillo - The University of Texas MD Anderson Cancer CenterAmitava Majumdar - University of California, San DiegoThomas Guerrero - The University of Texas MD Anderson Cancer CenterSteve B. Jiang - University of California, San Diego
- Publication Details
- Physics in medicine & biology, v 55(1), pp 207-219
- Publisher
- Iop Publishing Ltd
- Number of pages
- 13
- Grant note
- R21CA128230 / NATIONAL CANCER INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI) University of California Lab Fees Research Program; University of California System R21CA128230; R21CA141833; T32CA119930 / NIH/NCI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Radiation Oncology (and Nuclear Medicine)
- Web of Science ID
- WOS:000272637800012
- Scopus ID
- 2-s2.0-77649198532
- Other Identifier
- 991021897329304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging