15 Result(s)
within
Simon K. Warfield
Medicine & Public Health
Health Informatics
Imaging / Radiology
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Article
Open AccessSlicerCBM: automatic framework for biomechanical analysis of the brain
Brain shift that occurs during neurosurgery disturbs the brain’s anatomy. Prediction of the brain shift is essential for accurate localisation of the surgical target. Biomechanical models have been envisaged a...
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Article
Electrode localization for planning surgical resection of the epileptogenic zone in pediatric epilepsy
In planning for a potentially curative resection of the epileptogenic zone in patients with pediatric epilepsy, invasive monitoring with intracranial EEG is often used to localize the seizure onset zone and...
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Article
Fetal brain volumetry through MRI volumetric reconstruction and segmentation
Fetal MRI volumetry is a useful technique but it is limited by a dependency upon motion-free scans, tedious manual segmentation, and spatial inaccuracy due to thick-slice scans. An image processing pipeline th...
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Chapter and Conference Paper
Multi-subject Registration for Unbiased Statistical Atlas Construction
This paper introduces a new similarity measure designed to bring a population of segmented subjects into alignment in a common coordinate system. Our metric aligns each subject with a hidden probabilistic mode...
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Chapter and Conference Paper
On Extended Finite Element Method (XFEM) for Modelling of Organ Deformations Associated with Surgical Cuts
The Extended Finite Element Method (XFEM) is a technique used in fracture mechanics to predict how objects deform as cracks form and propagate through them. Here, we propose the use of XFEM to model the deform...
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Chapter and Conference Paper
Landmark-Guided Surface Matching and Volumetric War** for Improved Prostate Biopsy Targeting and Guidance
We present a composite method for landmark-guided surface matching and volumetric non-rigid registration, with an application to prostate biopsy. The two-step method, based primarily on finite element and thin...
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Chapter and Conference Paper
Automatic Optimization of Segmentation Algorithms Through Simultaneous Truth and Performance Level Estimation (STAPLE)
The performance of automatic segmentation algorithms often depends critically upon a number of parameters intrinsic to the algorithm. Appropriate setting of these parameters is a pre-requisite for successful s...
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Chapter and Conference Paper
Coupling Statistical Segmentation and PCA Shape Modeling
This paper presents a novel segmentation approach featuring shape constraints of multiple structures. A framework is developed combining statistical shape modeling with a maximum a posteriori segmentation prob...
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Chapter and Conference Paper
Improved Non-rigid Registration of Prostate MRI
This paper introduces a fast non-rigid registration method for aligning pre-operative 1.5 T MR images to intra-operative 0.5 T MR images for guidance in prostate biopsy.
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Chapter and Conference Paper
Level Set Methods in an EM Framework for Shape Classification and Estimation
In this paper, we propose an Expectation-Maximization (EM) approach to separate a shape database into different shape classes, while simultaneously estimating the shape contours that best exemplify each of the...
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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...
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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...
