Shape-based registration is a process for estimating the transformation between two shape representations of an object. It is used in many image-guided surgical systems to establis...
During the past year our group has been developing HipNav, a system which helps surgeons determine optimal, patient-specific acetabular implant placement and accurately achieve the...
David A. Simon, Branislav Jaramaz, Mike Blackwell,...
Abstract. We have developped a physically-based model where an object is represented by a set of mass points on its contour. Each object may be defined locally and physically usin...
In this paper we address the problem of extracting geometric models from low contrast volumetric images, given a template or reference shape of that model. We proceed by deforming...
The Neurovisualization Lab at the University of Virginia is developing the Integrated Remote Neurosurgical System (IRNS) to allow mentoring of neurosurgical procedures in remote l...
B. Sean Graves, Joe Tullio, Minyan Shi, J. Hunter ...
Recently the entropy-similarity measure has been introduced for the registration of image pairs prior to subtraction in medical imaging e.g. digital subtraction angiography (DSA). ...
The majority of the available rigid registration measures are based on a 2-dimensional histogram of corresponding grey-values in the registered images. This paper shows that these ...
E cient and powerful topologically adaptable deformable surfaces can be created by embedding and de ning discrete deformable surface models in terms of an A ne Cell Decomposition (...
A system for simulating arthroscopic knee surgery that is based on volumetric object models derived from 3D Magnetic Resonance Imaging is presented. Feedback is provided to the us...
Sarah F. Frisken Gibson, Joe Samosky, Andrew B. Mo...