Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
Medical image fusion is becoming increasingly popular for enhancing diagnostic accuracy by intelligently ‘fusing’ information obtained from two different images. These images ...
Girish Gopalakrishnan, S. V. Bharath Kumar, Ajay N...
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Abstract. This paper presents a novel method for registration of cardiac perfusion MRI. The presented method successfully corrects for breathing motion without any manual interacti...
Julien Milles, Rob J. van der Geest, Michael Jeros...
Abstract. Validation of non-rigid registration methods is still a challenging task. Different evaluation criteria were published, yet no widely accepted gold standard exists. The a...