Anatomical Feature-guided Volumeric Registration of Multimodal Prostate MRI

07/06/2013
by   Xin Zhao, et al.
0

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 registration results through both artificial and clinical datasets. Registration accuracy is evaluated by performing statistical analysis of local intensity differences or spatial differences of anatomical landmarks between various MR datasets. Evaluation results demonstrate that our method statistics-significantly improves the quality of registration. Although this strategy is tested for MRI-guided brachytherapy, the preliminary results from these experiments suggest that it can be also applied to other settings such as transrectal ultrasound-guided or CT-guided therapy, where the integration of preoperative MRI may have a significant impact upon treatment planning and guidance.

READ FULL TEXT
research
08/02/2016

Registration of Volumetric Prostate Scans using Curvature Flow

Radiological imaging of the prostate is becoming more popular among rese...
research
10/20/2018

Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling

We present a method for registration and visualization of corresponding ...
research
05/06/2020

Groupwise Multimodal Image Registration using Joint Total Variation

In medical imaging it is common practice to acquire a wide range of moda...
research
05/03/2021

A rigged model of the breast for preoperative surgical planning

In breast surgical practice, various scans and medical examinations are ...
research
07/17/2023

Airway Label Prediction in Video Bronchoscopy: Capturing Temporal Dependencies Utilizing Anatomical Knowledge

Purpose: Navigation guidance is a key requirement for a multitude of lun...
research
09/15/2020

F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration

Multimodal deformable image registration is essential for many image-gui...

Please sign up or login with your details

Forgot password? Click here to reset