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International Journal of Computer Assisted Radiology and Surgery

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12-01-2018 | Original Article

Patient-specific model-based segmentation of brain tumors in 3D intraoperative ultrasound images

Authors: Elisee Ilunga-Mbuyamba, Juan Gabriel Avina-Cervantes, Dirk Lindner, Felix Arlt, Jean Fulbert Ituna-Yudonago, Claire Chalopin

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 3/2018

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Abstract

Purpose

Intraoperative ultrasound (iUS) imaging is commonly used to support brain tumor operation. The tumor segmentation in the iUS images is a difficult task and still under improvement because of the low signal-to-noise ratio. The success of automatic methods is also limited due to the high noise sensibility. Therefore, an alternative brain tumor segmentation method in 3D-iUS data using a tumor model obtained from magnetic resonance (MR) data for local MR–iUS registration is presented in this paper. The aim is to enhance the visualization of the brain tumor contours in iUS.

Methods

A multistep approach is proposed. First, a region of interest (ROI) based on the specific patient tumor model is defined. Second, hyperechogenic structures, mainly tumor tissues, are extracted from the ROI of both modalities by using automatic thresholding techniques. Third, the registration is performed over the extracted binary sub-volumes using a similarity measure based on gradient values, and rigid and affine transformations. Finally, the tumor model is aligned with the 3D-iUS data, and its contours are represented.

Results

Experiments were successfully conducted on a dataset of 33 patients. The method was evaluated by comparing the tumor segmentation with expert manual delineations using two binary metrics: contour mean distance and Dice index. The proposed segmentation method using local and binary registration was compared with two grayscale-based approaches. The outcomes showed that our approach reached better results in terms of computational time and accuracy than the comparative methods.

Conclusion

The proposed approach requires limited interaction and reduced computation time, making it relevant for intraoperative use. Experimental results and evaluations were performed offline. The developed tool could be useful for brain tumor resection supporting neurosurgeons to improve tumor border visualization in the iUS volumes.

next article A hybrid optimization strategy for registering images with large local deformations and intensity variations

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Title: Patient-specific model-based segmentation of brain tumors in 3D intraoperative ultrasound images
Authors: Elisee Ilunga-Mbuyamba
Juan Gabriel Avina-Cervantes
Dirk Lindner
Felix Arlt
Jean Fulbert Ituna-Yudonago
Claire Chalopin
Publication date: 12-01-2018
Publisher: Springer International Publishing
Published in: International Journal of Computer Assisted Radiology and Surgery / Issue 3/2018
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI: https://doi.org/10.1007/s11548-018-1703-0

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Abstract

Purpose

Methods

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Conclusion

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