A survey of MRI-based medical image analysis for brain tumor studies
MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …
times due to an increased need for efficient and objective evaluation of large amounts of …
A review of atlas-based segmentation for magnetic resonance brain images
Normal and abnormal brains can be segmented by registering the target image with an
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …
atlas. Here, an atlas is defined as the combination of an intensity image (template) and its …
[HTML][HTML] Robust whole-brain segmentation: application to traumatic brain injury
We propose a framework for the robust and fully-automatic segmentation of magnetic
resonance (MR) brain images called “Multi-Atlas Label Propagation with Expectation …
resonance (MR) brain images called “Multi-Atlas Label Propagation with Expectation …
Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation
We propose a new model to simulate the three-dimensional (3-D) growth of glioblastomas
multiforma (GBMs), the most aggressive glial tumors. The GBM speed of growth depends on …
multiforma (GBMs), the most aggressive glial tumors. The GBM speed of growth depends on …
[HTML][HTML] Neuroimaging of structural pathology and connectomics in traumatic brain injury: Toward personalized outcome prediction
Recent contributions to the body of knowledge on traumatic brain injury (TBI) favor the view
that multimodal neuroimaging using structural and functional magnetic resonance imaging …
that multimodal neuroimaging using structural and functional magnetic resonance imaging …
Glioma dynamics and computational models: a review of segmentation, registration, and in silico growth algorithms and their clinical applications
Tracking gliomas dynamics on MRI has became more and more important for therapeutic
management. Powerful computational tools have been recently developed in this context …
management. Powerful computational tools have been recently developed in this context …
Integrated biophysical modeling and image analysis: application to neuro-oncology
Central nervous system (CNS) tumors come with vastly heterogeneous histologic,
molecular, and radiographic landscapes, rendering their precise characterization …
molecular, and radiographic landscapes, rendering their precise characterization …
DR-TAMAS: diffeomorphic registration for tensor accurate alignment of anatomical structures
In this work, we propose DR-TAMAS (Diffeomorphic Registration for Tensor Accurate
alignMent of Anatomical Structures), a novel framework for intersubject registration of …
alignMent of Anatomical Structures), a novel framework for intersubject registration of …
A review on automated brain tumor detection and segmentation from MRI of brain
Tumor segmentation from magnetic resonance imaging (MRI) data is an important but time
consuming manual task performed by medical experts. Automating this process is a …
consuming manual task performed by medical experts. Automating this process is a …
Deformable registration of glioma images using EM algorithm and diffusion reaction modeling
This paper investigates the problem of atlas registration of brain images with gliomas.
Multiparametric imaging modalities (T1, T1-CE, T2, and FLAIR) are first utilized for …
Multiparametric imaging modalities (T1, T1-CE, T2, and FLAIR) are first utilized for …