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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...