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Automatic segmentation of neurovascular bundle on mri using deep learning based topological modulated network.

Yang Lei¹, Tonghe Wang^1,2, Justin Roper¹

¹Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.

Medical Physics

|March 20, 2023

Summary

A new deep learning method accurately segments neurovascular bundles (NVBs) on MRI scans, potentially reducing sexual dysfunction after prostate cancer radiotherapy by sparing these critical structures.

Keywords:

MRI deep learning neurovascular bundles segmentation

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Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images

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Published on: January 7, 2019

Area of Science:

Radiotherapy
Medical Imaging
Artificial Intelligence

Background:

Radiation damage to neurovascular bundles (NVBs) can cause sexual dysfunction post-prostate cancer radiotherapy.
Delineating NVBs on planning CT scans for radiotherapy is challenging.
MRI integration allows for NVB contour delineation.

Purpose of the Study:

Develop an automated, MRI-based deep learning method for NVB segmentation.
Improve precision in identifying NVBs for radiotherapy planning.

Main Methods:

A topological modulated network with three subnetworks: focal modulation, hierarchical block, and topological FCN.
Focal modulation identifies candidate regions of interest (VOIs) for NVBs.
Hierarchical block enhances boundary information, and topological FCN segments NVBs within VOIs considering vascular consistency.

Main Results:

The method achieved a Dice similarity coefficient (DSC) of 0.81 ± 0.10 for the left NVB and 0.80 ± 0.15 for the right NVB.
The 95th percentile Hausdorff distance (HD95) was 1.49 ± 0.88 mm (left) and 1.54 ± 1.22 mm (right).
Cross-validation on 60 patient cases demonstrated good agreement with manual contours.

Conclusions:

A novel deep learning segmentation method for NVBs on pelvic MRI was developed.
The method shows high agreement with manual segmentations, proving its feasibility.
Potential application in sparing NVBs during radiotherapy to improve patient quality of life.