Title
Registration and fusion of contrast-enhanced MRI myocardial substrate maps and X-ray angiograms
Abstract
The aim of this work is to provide the necessary methods to register and fuse the endo-epicardial signal intensity (SI) maps extracted from contrast-enhanced magnetic resonance imaging (ceMRl) with X-ray coronary angiograms using an intrinsic registration-based algorithm to help pre-planning and guidance of catheterization procedures. Fusion of angiograms with SI maps was treated as a 2D-3D pose estimation, where each image point is projected to a Plucker line, and the screw representation for rigid motions is minimized using a gradient descent method The resultant transformation is applied to the SI map that is then projected and fused on each angiogram. The proposed method was tested in clinical datasets from 6 patients with prior myocardial infarction. The registration procedure is optionally combined with an iterative closest point algorithm (ICP) that aligns the ventricular contours segmented from two ventriculograms.
Year
Venue
Keywords
2013
CinC
angiocardiography,biomedical mri,cardiology,diagnostic radiography,gradient methods,image enhancement,image fusion,image registration,image segmentation,iterative methods,medical disorders,medical image processing,pose estimation,2d-3d pose estimation,plucker line,x-ray coronary angiograms,catheterization,contrast-enhanced mri myocardial substrate maps,endoepicardial signal intensity maps,gradient descent method,iterative closest point algorithm,magnetic resonance imaging,myocardial infarction,screw representation,ventricular contour segmentation,ventriculograms
Field
DocType
Volume
Computer vision,Gradient descent,Image fusion,Computer science,Image segmentation,Pose,Artificial intelligence,Catheterization procedure,Image registration,Focus (optics),Iterative closest point
Conference
40
ISSN
ISBN
Citations 
2325-8861
978-1-4799-0884-4
0
PageRank 
References 
Authors
0.34
5
6