Glioblastoma Multiforme Segmentation in MRI Data with a Balloon Inflation Approach

by   Dzenan Zukic, et al.

Gliomas are the most common primary brain tumors, evolving from the cerebral supportive cells. For clinical follow-up, the evaluation of the preoperative tumor volume is essential. Volumetric assessment of tumor volume with manual segmentation of its outlines is a time-consuming process that can be overcome with the help of computer-assisted segmentation methods. In this paper, a semi-automatic approach for World Health Organization (WHO) grade IV glioma segmentation is introduced that uses balloon inflation forces, and relies on the detection of high-intensity tumor boundaries that are coupled by using contrast agent gadolinium. The presented method is evaluated on 27 magnetic resonance imaging (MRI) data sets and the ground truth data of the tumor boundaries - for evaluation of the results - are manually extracted by neurosurgeons.



There are no comments yet.



A Comparison of Two Human Brain Tumor Segmentation Methods for MRI Data

The most common primary brain tumors are gliomas, evolving from the cere...

Evaluation of a Novel Approach for Automatic Volume Determination of Glioblastomas Based on Several Manual Expert Segmentations

The glioblastoma multiforme is the most common malignant primary brain t...

The University of California San Francisco Preoperative Diffuse Glioma (UCSF-PDGM) MRI Dataset

Here we present the University of California San Francisco Preoperative ...

An estimation-based method to segment PET images

Tumor segmentation in oncological PET images is challenging, a major rea...

A Structural Graph-Based Method for MRI Analysis

The importance of imaging exams, such as Magnetic Resonance Imaging (MRI...

Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images

Quantification of kidney function in Dynamic Contrast-Enhanced Magnetic ...

Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs

This paper proposes a novel approach for uncertainty quantification in d...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.