Segmentation of Brain Tumor in 3D Intraoperative Ultrasound Imaging

xlomafota13 shared this article with you from Inoreader Segmentation of Brain Tumor in 3D Intraoperative Ultrasound Imaging Via The International Journal of Medical Robotics and Computer Assisted Surgery Abstract Background Intraoperative Ultrasound (iUS), using a navigation system and preoperative magnetic resonance imaging (pMRI), supports the surgeon intraoperatively in identifying tumor margins. Therefore, visual tumor enhancement can be supported by efficient segmentation methods. Methods A semi-automatic and two registration-based segmentation methods are evaluated to extract brain tumors from 3D-iUS data. The registration-based methods estimated the brain deformation after craniotomy based on pMRI and 3D-iUS data. Both approaches use the Normalized Gradient Field (NGF) and Linear Correlation of Linear Combinations (LC2) metrics. Proposed methods were evaluated on 66 B-mode and contrast-mode 3D-iUS data with metastasis and glioblastoma. Results The semi-automatic segmentation achieved superior results with Dice Similarity Index (DSI) values between [85.34, 86.79] % and Contour Mean Distance (CMD) values between [1.05, 1.11] mm for both modalities and tumor classes. Conclusions Better segmentation results were obtained for metastasis detection than glioblastoma, preferring 3D-intraoperative B-mode over 3D-intraoperative contrast-mode. This article is protected by copyright. All rights reserved. View on the web Inoreader. Take back control of your news feed. Follow us on Twitter and Facebook.