Title :
A hybrid method for 2-D/3-D registration between 3-D volumes and 2-D angiography for trans-catheter aortic valve implantation (TAVI)
Author :
Miao, Shun ; Liao, Rui ; Zheng, Yefeng
Author_Institution :
Siemens Corp. Res., Princeton, NJ, USA
fDate :
March 30 2011-April 2 2011
Abstract :
Minimally invasive trans-catheter aortic valve implantation (TAVI) procedure can be greatly facilitated using smart visualization and guidance technology involving the 3-D model of the aorta. In this paper, a hybrid method is proposed for contrast-based registration between the 3-D model and angiography of the aorta during TAVI procedures. By integrating the information of aorta segmentation and aortic landmark detection into intensity-based registration, the proposed method combines the merits of intensity-based registration and feature/landmark-based registration. In addition, the challenging task of explicit feature/landmark extraction on 2-D images is avoided. Experiments on 9 real clinical data achieved an average registration error of 2.14 ± 0.49 pixels, demonstrating the efficacy of the proposed method.
Keywords :
diagnostic radiography; diseases; image registration; medical image processing; physiological models; 2D angiography; 2D imaging; 2D-3D registration; 3D model; 3D-volumes; aorta segmentation; aortic landmark detection; contrast-based registration; hybrid method; intensity-based registration; landmark-based registration; minimally invasive trans-catheter aortic valve implantation; Angiography; Arteries; Feature extraction; Image segmentation; Valves; X-ray imaging; 2-D/3-D Registration; Aortic Valve Implantation; Image-Guided Hybrid-OR Therapy;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-4127-3
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2011.5872620