Generation of synthetic CT data using patient specific daily MR image data and image registration

Mapping Template Heart Models to Patient Data Using Image Registration

Currently, minimally invasive cardiac surgery (MICS) faces several limitations, including inadequate training methods using non-realistic models, insufficient surgery planning using 2D images, and the lack of global, 3D guidance during the procedure. To address these issues we are developing the Virtual Cardiac Surgery Platform (VCSP) – a virtual reality model of the patient specific thorax, de...

Analysis of volumetric cardiac CT and MR image data

A variety of imaging modalities can be used to determine structural, functional and perfusion characteristics of the heart [1]. Ideally, a thorough cardiac evaluation should meet the following clinical requirements: First, provide high spatial resolution images for the assessment of anatomical structures. Second, detect and quantify stenotic, calcified and non-calcified lesions in the coronary ...

Image Reconstruction from Incomplete Data

Image Reconstruction from Incomplete Data

Creaseness Measures for CT and MR Image Registration

Creases are a type of ridge/valley{like structures that can be characterized by local conditions. The curvature of level curves and the mean curvature M of level surfaces are good measures of creaseness for 2{d and 3{d images, respectively. However, the way they are computed gives rise to discontinuities at saddles and local extrema of images, reducing its usefulness in many applications. We pr...