Paper Info
Title
Validation of the use of photogrammetry to register pre-procedure MR images to intra-procedure patient position for image-guided cardiac catheterization procedures
Abstract
A hybrid X-ray and magnetic resonance imaging system (XMR) has been proposed as an interventional guidance for cardiovascular catheterisation procedure. However, very few hospitals can benefit from the XMR system because of its limited availability. In this paper we describe a new guidance strategy for cardiovascular catheterisation procedure. In our technique, intra-operative patient position is estimated by using a chest surface reconstructed from a photogrammetry system. The chest surface is then registered with the same surface derived from pre-procedure magnetic resonance (MR) images. The catheterisation procedure can therefore be guided by a roadmap derived from the MR images. Patients were required to hold the breath at end expiration during MRI acquisition. The surface matching accuracy is improved by using a robust trimmed iterative closest point (ICP) matching algorithm, which is especially designed for incomplete surface matching. Compared to the XMR system, the proposed guidance strategy is low cost and easy to set up. Experimental data were acquired from 6 volunteers and I patient. The patient data were collected during an electrophysiology procedure. In 6 out of 7 subjects, the experimental results show our method is accurate in term of reciprocal residual error (range from 1.66m to 3.75mm) and constant (closed-loop TREs range from 1.49mm to 3.55mm). For one subject, trimmed ICP failed to find the optimal transform matrix (residual = 4.89, TRE = 9.32) due to the poor quality of the photogrammetry-reconstructed surface. More studies are being carried on in clinical trials.
Year
DOI
Venue
2008
10.1117/12.770113
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
cardiac catheterization,photogrammetry,MRI,ICP
Biomedical engineering,Residual,Photogrammetry,Computer vision,Experimental data,Artificial intelligence,Cardiac catheterization,Medicine,Blossom algorithm,Magnetic resonance imaging,Iterative closest point,Pre-Procedure
Conference
Volume
ISSN
Citations 
6918
0277-786X
1
PageRank 
References 
Authors
0.35
2
10
Name
Order
Citations
PageRank
Gang Gao19210.45
Ségolène M. Tarte2122.25
andrew king310.35
YingLiang Ma425126.76
Phani Chinchapatnam518618.55
Tobias Schaeffter647251.54
Reza Razavi792994.25
Dave Hawkes8101.09
derek l hill910.35
Kawal Rhode1015021.01