A new, practical, and efficient approach is proposed for 3D vascular segmentation and bifurcation structure extraction. The method uses a combination of mathematical morphology, re...
Yoshitaka Masutani, Thomas Schiemann, Karl Heinz H...
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...
This paper presents a method for automatic segmentation of the tibia and femur in clinical magnetic resonance images of knees. Texture information is incorporated into an active co...
Liana M. Lorigo, Olivier D. Faugeras, W. Eric L. G...
Abstract. The registration of multimodal medical images is an important tool in surgical applications, since different scan modalities highlight complementary anatomical structures...
In this paper we present AnatomyBrowser, a framework for integration of images and textual information in medical applications. AnatomyBrowser allows the user to combine 3D surfac...
Polina Golland, Ron Kikinis, Christopher Umans, Mi...
This paper describes a method for creating object surfaces from binary-segmented data that are free from aliasing and terracing artifacts. In this method, a net of linked surface n...
This paper presents a method for identifying image loci that can be used as a basis for object segmentation and image registration. The focus is on 1D and 2D shape loci in 3D image...