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Nonrigid Registration of Prostate Diffusion-Weighted MRI
Joint Authors
Huang, Yali
Hao, Lei
Gao, Yuehua
Chen, Xiaoxi
Wang, Pei-Guang
Source
Journal of Healthcare Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Motion and deformation are common in prostate diffusion-weighted magnetic resonance imaging (DWI) during acquisition.
These misalignments lead to errors in estimating an apparent diffusion coefficient (ADC) map fitted with DWI.
To address this problem, we propose an image registration algorithm to align the prostate DWI and improve ADC map.
First, we apply affine transformation to DWI to correct intraslice motions.
Then, nonrigid registration based on free-form deformation (FFD) is used to compensate for intraimage deformations.
To evaluate the influence of the proposed algorithm on ADC values, we perform statistical experiments in three schemes: no processing of the DWI, with the affine transform approach, and with FFD.
The experimental results show that our proposed algorithm can correct the misalignment of prostate DWI and decrease the artifacts of ROI in the ADC maps.
These ADC maps thus obtain sharper contours of lesions, which are helpful for improving the diagnosis and clinical staging of prostate cancer.
American Psychological Association (APA)
Hao, Lei& Huang, Yali& Gao, Yuehua& Chen, Xiaoxi& Wang, Pei-Guang. 2017. Nonrigid Registration of Prostate Diffusion-Weighted MRI. Journal of Healthcare Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1181384
Modern Language Association (MLA)
Hao, Lei…[et al.]. Nonrigid Registration of Prostate Diffusion-Weighted MRI. Journal of Healthcare Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1181384
American Medical Association (AMA)
Hao, Lei& Huang, Yali& Gao, Yuehua& Chen, Xiaoxi& Wang, Pei-Guang. Nonrigid Registration of Prostate Diffusion-Weighted MRI. Journal of Healthcare Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1181384
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181384