Anatomical Feature-guided Volumeric Registration of Multimodal Prostate MRI
Xin Zhao, Arie Kaufman

TL;DR
This paper presents a novel anatomical feature-guided mutual information method for accurate multimodal prostate MRI registration, improving alignment quality for better diagnosis and treatment planning.
Contribution
It introduces the use of anatomical features as landmarks for prostate registration, enhancing accuracy across different imaging modalities and orientations.
Findings
Significant improvement in registration accuracy demonstrated.
Effective across multiple imaging modalities and orientations.
Potential application in various prostate treatment guidance scenarios.
Abstract
Radiological imaging of prostate is becoming more popular among researchers and clinicians in searching for diseases, primarily cancer. Scans might be acquired at different times, with patient movement between scans, or with different equipment, resulting in multiple datasets that need to be registered. For this issue, we introduce a registration method using anatomical feature-guided mutual information. Prostate scans of the same patient taken in three different orientations are first aligned for the accurate detection of anatomical features in 3D. Then, our pipeline allows for multiple modalities registration through the use of anatomical features, such as the interior urethra of prostate and gland utricle, in a bijective way. The novelty of this approach is the application of anatomical features as the pre-specified corresponding landmarks for prostate registration. We evaluate the…
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Taxonomy
TopicsMedical Image Segmentation Techniques · Prostate Cancer Diagnosis and Treatment
