Organ deformation between preoperative image data and the patient in the OR is the main obstacle for using surgical navigation systems in liver surgery. Our approach is to provide ...
Thomas Lange, Sebastian Eulenstein, Michael Hü...
Abstract. In this paper, we experimentally tested the positioning repeatability of MR-compatible manipulator with a CCD laser micrometer inside MRI. To evaluate the performance of ...
Yoshihiko Koseki, Ron Kikinis, Ferenc A. Jolesz, K...
In this paper, we present a physics-based deformable model framework for the quantification of shape and motion parameters of the Left Anterior Descending (LAD) coronary artery in ...
To better understand the development and function of the mammalian brain, researchers have begun to systematically collect a large number of gene expression patterns throughout the...
Ioannis A. Kakadiaris, Musodiq Bello, Shiva Arunac...
Several recent studies demonstrate the potential of using tubular structures such as vessels as a basis for image registration. In this paper, we present a novel technique for the ...
Abstract. This paper describes the construction of 3D dynamic statistical deformable models for complex topological shapes. It significantly extents the existing framework in that ...
We propose a new voxel similarity measure which utilises local image structure as well intensity information. Gaussian scale space derivatives are used to provide the structural in...
Mark Holden, Lewis D. Griffin, Nadeem Saeed, Derek...
We present a novel framework for learning a joint shape and appearance model from a large set of un-labelled training examples in arbitrary positions and orientations. The shape an...
In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem si...
For diagnosis, preoperative planning and postoperative guides, an accurate estimate of joints kinematics is required. We bring together MRI developments and new image processing me...
Benjamin Gilles, Rosalind Perrin, Nadia Magnenat-T...