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3D Reconstruction of Coronary Veins from a Single X-Ray Fluoroscopic Image and Pre-operative MR
- Source :
- Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783319527178, STACOM@MICCAI
- Publication Year :
- 2017
- Publisher :
- Springer International Publishing, 2017.
-
Abstract
- Cardiac resynchronization therapy (CRT) is an effective treatment for patients with congestive heart failure and ventricular dyssynchrony. Despite the overall efficacy of CRT, approximately 30% of patients receiving CRT do not improve. One of the main technical problems related to the CRT procedure is inadequate visualisation in X-ray fluoroscopy of the venous anatomy in relation to accurate cardiac chamber visualisation. This paper proposes a novel approach for 3D reconstruction of coronary veins from a single contrast enhanced intra-operative fluoroscopy image. For this application, the method uses back-projection geometry and a Euclidean distance/angle-based cost function. The algorithm is validated on a phantom and five patient datasets, comprising six view-angle orientations for the phantom dataset and two view-angle orientations for each of the patient datasets. Median(inter-quartile range) 3D-reconstruction accuracies of 1.41(0.55–3.00) mm and 3.28(2.10–4.89) mm were established for the phantom and patient data, respectively. The technique can facilitate careful advancement of the cannulating guide over a guidewire or a diagnostic catheter positioned in the coronary sinus, and consequently, improve the chances of response to CRT.
- Subjects :
- Coronary Vein
medicine.diagnostic_test
business.industry
medicine.medical_treatment
Cardiac resynchronization therapy
030204 cardiovascular system & hematology
equipment and supplies
medicine.disease
Imaging phantom
030218 nuclear medicine & medical imaging
03 medical and health sciences
Catheter
0302 clinical medicine
Heart failure
medicine
Fluoroscopy
Ventricular dyssynchrony
Nuclear medicine
business
Coronary sinus
Subjects
Details
- ISBN :
- 978-3-319-52717-8
- ISBNs :
- 9783319527178
- Database :
- OpenAIRE
- Journal :
- Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783319527178, STACOM@MICCAI
- Accession number :
- edsair.doi...........eb164635694a5e29d9d0aeb51e6f5538