Keywords: Prostate, Prostate, DWI distortion
Motivation: DWI is crucial for prostate cancer imaging, but its susceptibility to image distortion poses challenges to reading and leads to a substantial rate of nondiagnostic scans.
Goal(s): This study aimed to develop and compare two algorithms for automatic distortion assessment for prostate DWI.
Approach: Two automatic distortion assessment methods were developed based on image segmentation, and deformable registration. Both were validated and compared using radiology grading as the reference.
Results: Both distortion assessment methods quantified the levels of image distortion in prostate DWI consistent with visual assessments and correlated well with expert ratings. The deformable registration-based approach appeared to outperform its counterpart.
Impact: The developed methods for automatic assessment of image distortion may assist in acquiring high-quality prostate DWI and reducing patient recalls.
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