Journal ArticleDOI
Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging.
Dean C. Barratt,Carolyn S. K. Chan,Carolyn S. K. Chan,Philip J. Edwards,Philip J. Edwards,Graeme P. Penney,Graeme P. Penney,M. Slomczykowski,Timothy J. Carter,Timothy J. Carter,David J. Hawkes,David J. Hawkes +11 more
TLDR
Despite limitations on the regions of bone accessible using US imaging, this technique has potential as a cost-effective and non-invasive method to enable surgical navigation during CAOS procedures, without the additional radiation dose associated with performing a preoperative CT scan or intraoperative fluoroscopic imaging.About:
This article is published in Medical Image Analysis.The article was published on 2008-06-01. It has received 159 citations till now. The article focuses on the topics: Image registration & Iterative closest point.read more
Citations
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Journal ArticleDOI
Statistical shape models for 3D medical image segmentation: a review.
TL;DR: Statistical shape models (SSMs) have by now been firmly established as a robust tool for segmentation of medical images as discussed by the authors, primarily made possible by breakthroughs in automatic detection of shape correspondences.
Journal ArticleDOI
Statistical shape and appearance models of bones
TL;DR: This paper reviews the main concepts, methods, and applications of SSM and SAM as applied to bone and describes the main modes of variations of shape and density distribution from their mean values.
Journal ArticleDOI
Current progress in patient-specific modeling
TL;DR: A survey of recent advancements in the emerging field of patient-specific modeling (PSM) suggests that with further testing and research, PSM-derived technologies will eventually become valuable, versatile clinical tools.
Journal ArticleDOI
Ultrasound confidence maps using random walks.
TL;DR: This work introduces a method for estimating a per-pixel confidence in the information depicted by ultrasound images, referred to as an ultrasound confidence map, which emphasizes uncertainty in attenuated and/or shadow regions, within a random walks framework by taking into account ultrasound specific constraints.
Journal ArticleDOI
Statistical modelling of the whole human femur incorporating geometric and material properties
Rebecca Bryan,P. Surya Mohan,Andrew R. Hopkins,Francis Galloway,Mark Taylor,Prasanth B. Nair +5 more
TL;DR: This study illustrates a methodology with the potential to generate femur models incorporating material properties for large scale multi-femur finite element studies, and a registration scheme based on elastic surface matching and a mesh morphing algorithm has been developed.
References
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Proceedings ArticleDOI
Marching cubes: A high resolution 3D surface construction algorithm
TL;DR: In this paper, a divide-and-conquer approach is used to generate inter-slice connectivity, and then a case table is created to define triangle topology using linear interpolation.
Journal ArticleDOI
Independent component analysis: algorithms and applications
Aapo Hyvärinen,Erkki Oja +1 more
TL;DR: The basic theory and applications of ICA are presented, and the goal is to find a linear representation of non-Gaussian data so that the components are statistically independent, or as independent as possible.
Journal ArticleDOI
Active shape models—their training and application
TL;DR: This work describes a method for building models by learning patterns of variability from a training set of correctly annotated images that can be used for image search in an iterative refinement algorithm analogous to that employed by Active Contour Models (Snakes).
Journal ArticleDOI
Active appearance models
Abstract: We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations in the model parameters and the induced image errors.