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Medial representations of shapes are useful due to their use of an object-centered coordinate system that directly captures intuitive notions of shape such as thickness, bending, and elongation. However, it is well known that an object's medial axis transform (MAT) is unstable with respect to small perturbations of its boundary. This instability results in(More)
Radical prostatectomy is performed on approximately 40% of men with organ-confined prostate cancer. Pathologic information obtained from the prostatectomy specimen provides important prognostic information and guides recommendations for adjuvant treatment. The current pathology protocol in most centers involves primarily qualitative assessment. In this(More)
This paper is concerned with energy-based image segmen-tation problems. We introduce a general class of regional functionals defined as an arbitrary non-linear combination of regional unary terms. Such (high-order) functionals are very useful in vision and medical applications and some special cases appear in prior art. For example, our general class of(More)
Quantification and visualization of anatomical shape variability in different populations is essential for diagnosis and tracking progression of diseases. We present a new 3D medial-based shape representation method capable of analysis and visualization of 3D anatomy and demonstrate its ability to quantify and highlight shape variability in an intuitive(More)
Changes in corpus callosum (CC) size are typically quantified in clinical studies by measuring the CC cross-sectional area on a midsagittal plane. We propose an alternative measurement plane based on the role of the CC as a bottleneck structure in determining the rate of interhemispheric neural transmission. We designate this plane as the Minimum Corpus(More)
RATIONALE AND OBJECTIVE Because lower limb muscles differ in architecture and function, the systemic effects of chronic obstructive pulmonary disease (COPD) and related disuse may result in regional abnormalities. The purpose of this study was to investigate the differences between patients with COPD and healthy controls in three-dimensional shape and size(More)
Prostate biopsy is the clinical standard for the diagnosis of prostate cancer, and technologies for 3D guidance to targets and recording of biopsy locations are promising approaches to reducing the need for repeated biopsies. In this study, we use image-based non-rigid registration to quantify prostate deformation during needle insertion and biopsy gun(More)
We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of the shapes in the study, and a machine learning approach is used to elucidate the characteristic shape and appearance features at each landmark. A classifier trained using these features(More)
RATIONALE AND OBJECTIVES Rotator cuff disorders are prevalent and can cause pain and reduced range of motion and strength. Accurate, noninvasive diagnosis of rotator cuff disorders is therefore important. In this work, we study the relationship between several three-dimensional (3D) shape measurements of the supraspinatus and its pathologic conditions. The(More)
To ensure accurate targeting and repeatability, 3D TRUS-guided biopsies require registration to determine coordinate transformations to (1) incorporate pre-procedure biopsy plans and (2) compensate for inter-session prostate motion and deformation between repeat biopsy sessions. We evaluated prostate surface- and image-based 3D-to-3D TRUS registration by(More)