Paper Info
Title
Mapping and characterizing endometrial implants by registering 2D transvaginal ultrasound to 3D pelvic magnetic resonance images.
Abstract
We propose a new deformable slice-to-volume registration method to register a 2D Transvaginal Ultrasound (TVUS) to a 3D Magnetic Resonance (MR) volume. Our main goal is to find a cross-section of the MR volume such that the endometrial implants and their depth of infiltration can be mapped from TVUS to MR. The proposed TVUS-MR registration method uses contour to surface correspondences through a novel variational one-step deformable Iterative Closest Point (ICP) method. Specifically, we find a smooth deformation field while establishing point correspondences automatically. We demonstrate the accuracy of the proposed method by quantitative and qualitative tests on both semi-synthetic and clinical data. To generate semi-synthetic data sets, 3D surfaces are deformed with 4-40% degrees of deformation and then various intersection curves are obtained at 0-20° cutting angles. Results show an average mean square error of 5.7934±0.4615mm, average Hausdorff distance of 2.493±0.14mm, and average Dice similarity coefficient of 0.9750±0.0030.
Year
DOI
Venue
2015
10.1016/j.compmedimag.2015.07.007
Computerized Medical Imaging and Graphics
Keywords
Field
DocType
Endometriosis,Iterative closest point,Slice-to-volume registration,Multi-modality,Fusion,Localization
Mr imaging,Computer vision,Data set,Computer science,Surgery planning,Robustness (computer science),Artificial intelligence,Radiology,Image registration,Iterative closest point,Ultrasound,Magnetic resonance imaging
Journal
Volume
ISSN
Citations 
45
0895-6111
2
PageRank 
References 
Authors
0.37
24
5
Name
Order
Citations
PageRank
Amir Yavariabdi1124.40
Adrien Bartoli2114789.14
Chafik Samir318517.69
Maxime Artigues420.37
Michel Canis5263.91