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Chapter and Conference Paper
Adaptive template moderated spatially varying statistical classification
A novel image segmentation algorithm was developed to allow the automatic segmentation of both normal and abnormal anatomy. The new algorithm is a form of spatially varying classification (SVC), in which an ex...
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Chapter and Conference Paper
3D Image Matching Using a Finite Element Based Elastic Deformation Model
We present a new approach for the computation of the deformation field between three dimensional (3D) images. The deformation field minimizes the sum of the squared differences between the images to be matched...
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Chapter and Conference Paper
Fractional Segmentation of White Matter
Abnormalities in the white matter of the brain are common to subjects with multiple sclerosis and Alzheimer’s disease. They also develop in normal, asymptomatic, subjects and appear more frequently with age. C...
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Chapter and Conference Paper
Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model
We present a new algorithm for the non-rigid registration of 3D Magnetic Resonance (MR) intraoperative image sequences showing brain shift. The algorithm tracks key surfaces (cortical surface and the lateral v...
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Chapter and Conference Paper
Intraoperative Segmentation and Nonrigid Registration for Image Guided Therapy
Our goal was to improve image guidance during minimally invasive image guided therapy by develo** an intraoperative segmentation and nonrigid registration algorithm. The algorithm was designed to allow for i...
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Chapter and Conference Paper
Pre- and Intra-operative Planning and Simulation of Percutaneous Tumor Ablation
We developed a software tool for pre-operative simulation and planning, and intra-operative guidance, of minimally invasive tumor ablation, including radiofrequency-, laser- and cryo-therapy. This tool provide...
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Chapter and Conference Paper
Deformable Modeling for Characterizing Biomedical Shape Changes
We present a new algorithm for modeling and characteriz- ing shape changes in 3D image sequences of biomedical structures. Our algorithm tracks the shape changes of the objects depicted in the image sequence u...
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Chapter and Conference Paper
High Performance Computing in Image Guided Therapy
We routinely use three-dimensional (3D) reconstruction MRI techniques to understand the anatomic complexity of operative brain lesions and improve preoperative surgical planning. Additionally, we incorporate f...
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Chapter and Conference Paper
A Binary Entropy Measure to Assess Nonrigid Registration Algorithms
Assessment of normal and abnormal anatomical variability requires a coordinate system enabling inter-subject comparison. We present a binary minimum entropy criterion to assess affine and nonrigid transformati...
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Chapter and Conference Paper
Multiresolution Signal Processing on Meshes for Automatic Pathological Shape Characterization
We present a method based on multiresolution signal processing on meshes to create a thickness atlas. We applied this method to construct an atlas of bladder wall thickness. Bladder cancer is associated with i...
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Chapter and Conference Paper
Surface Based Atlas Matching of the Brain Using Deformable Surfaces and Volumetric Finite Elements
The automatic identification and localization of structures in magnetic resonance (MR) brain images are a major part of the processing work for the neuroradiologist in numerous clinical applications, such as f...
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Chapter and Conference Paper
Unsupervised and Adaptive Segmentation of Multispectral 3D Magnetic Resonance Images of Human Brain: A Generic Approach
A generic algorithm is presented for the segmentation of threedimensional multispectral magnetic resonance images. The algorithm is unsupervised and adaptive, does not require initialization, classifies the da...
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Chapter and Conference Paper
Labeling the Brain Surface Using a Deformable Multiresolution Mesh
We propose to match a labeled mesh onto the patient brain surface in a multiresolution way for labeling the patient brain. Labeling the patient brain surface provides a map of the brain folds where the neurora...
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Chapter and Conference Paper
Incorporating Non-rigid Registration into Expectation Maximization Algorithm to Segment MR Images
The paper introduces an algorithm which allows the automatic segmentation of multi channel magnetic resonance images. We extended the Expectation Maximization-Mean Field Approximation Segmenter, to include Loc...
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Chapter and Conference Paper
Validation of Image Segmentation and Expert Quality with an Expectation-Maximization Algorithm
Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited accuracy and precision. Inter...
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Chapter and Conference Paper
Statistical Validation of Automated Probabilistic Segmentation against Composite Latent Expert Ground Truth in MR Imaging of Brain Tumors
The validity of segmentation is an important issue in image processing because it has a direct impact on surgical planning. Binary manual segmentation is not only time-consuming but also lacks the ability of d...
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Article
Real-time registration of volumetric brain MRI by biomechanical simulation of deformation during image guided neurosurgery
The key challenge faced by a neurosurgeon is the removal from the brain of as much tumor tissue as possible while minimizing the removal of healthy tissue and avoiding the disruption of critical anatomical str...
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Chapter and Conference Paper
An Efficient Algorithm for Multiple Sclerosis Lesion Segmentation from Brain MRI
We propose a novel method for the segmentation of Multiple Sclerosis (MS) lesions in MRI. The method is based on a three-step approach: first a conventional k-NN classifier is applied to pre-classify gray matter ...
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Chapter and Conference Paper
Diffusion Tensor and Functional MRI Fusion with Anatomical MRI for Image-Guided Neurosurgery
In order to achieve its main goal of maximal tumor removal while avoiding postoperative neurologic deficits, neuro-oncological surgery is strongly dependent on image guidance. Among all currently available ima...
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Chapter and Conference Paper
A New Technique for Multi-modal 3D Image Registration
In this paper we address the problem of multi-modal co-registration of medical 3D images. Several techniques for the rigid registration of multi-modal images have been developed; in one of those the Kullback-L...
