Title
Ultrasound Guidance for Beating Heart Mitral Valve Repair Augmented by Synthetic Dynamic CT
Abstract
Minimally invasive valvular intervention commonly requires intra-procedural navigation to provide spatial and temporal information of relevant cardiac structures and device components. Recently intra-procedural trans-esophageal echocardiography (TEE) has been exploited for this purpose due to its accessibility, low cost, ease of use, and real-time imaging capacity. However, the position and orientation of tissue targets relative to surgical tools can be challenging to perceive, particularly using 2D imaging planes. In this paper, we propose the use of CT images to provide a high-quality 3D context to enhance ultrasound images through image registration, providing an augmented guidance system with minimal impact on standard clinical workflow. We also describe an approach to generate synthetic 4D CT images through non-rigid registration of available ultrasound. This can be employed to avoid a requirement for higher radiation. Synthetic CT images were validated through direct comparison of synthetic and real multi-phase CT images. Validation of CT and ultrasound image registration was performed for both dynamic and synthetic CT image datasets. Our results demonstrated that the synthetically generated dynamic CT images provide similar anatomical representation for relevant cardiac anatomy relative to real dynamic CT images, and similar high registration accuracy that can be achieved for intra-procedural TEE to this versus real dynamic CT images.
Year
DOI
Venue
2015
10.1109/TMI.2015.2412465
IEEE Transactions on Medical Imaging
Keywords
Field
DocType
Image guided interventions, synthetic images, ultrasound, computed tomography, beating heart, mitral valve repair
Computer vision,Heart mitral valve,Guidance system,Computed tomography,Artificial intelligence,Mitral valve,Ultrasound image,Ultrasonic imaging,Image registration,Mathematics,Ultrasound
Journal
Volume
Issue
ISSN
PP
99
0278-0062
Citations 
PageRank 
References 
1
0.38
21
Authors
5
Name
Order
Citations
PageRank
Feng Li1424.24
Martin Rajchl242134.67
James A. White310.38
Aashish Goela441.08
Terry M. Peters51335181.71