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Proceedings Paper

Automatic segmentation and co-registration of gated CT angiography datasets: measuring abdominal aortic pulsatility
Author(s): Robert Wentz; Armando Manduca; J. G. Fletcher; Hassan Siddiki; Raymond C. Shields; Terri Vrtiska; Garrett Spencer; Andrew N. Primak; Jie Zhang; Theresa Nielson; Cynthia McCollough; Lifeng Yu
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Paper Abstract

Purpose: To develop robust, novel segmentation and co-registration software to analyze temporally overlapping CT angiography datasets, with an aim to permit automated measurement of regional aortic pulsatility in patients with abdominal aortic aneurysms. Methods: We perform retrospective gated CT angiography in patients with abdominal aortic aneurysms. Multiple, temporally overlapping, time-resolved CT angiography datasets are reconstructed over the cardiac cycle, with aortic segmentation performed using a priori anatomic assumptions for the aorta and heart. Visual quality assessment is performed following automatic segmentation with manual editing. Following subsequent centerline generation, centerlines are cross-registered across phases, with internal validation of co-registration performed by examining registration at the regions of greatest diameter change (i.e. when the second derivative is maximal). Results: We have performed gated CT angiography in 60 patients. Automatic seed placement is successful in 79% of datasets, requiring either no editing (70%) or minimal editing (less than 1 minute; 12%). Causes of error include segmentation into adjacent, high-attenuating, nonvascular tissues; small segmentation errors associated with calcified plaque; and segmentation of non-renal, small paralumbar arteries. Internal validation of cross-registration demonstrates appropriate registration in our patient population. In general, we observed that aortic pulsatility can vary along the course of the abdominal aorta. Pulsation can also vary within an aneurysm as well as between aneurysms, but the clinical significance of these findings remain unknown. Conclusions: Visualization of large vessel pulsatility is possible using ECG-gated CT angiography, partial scan reconstruction, automatic segmentation, centerline generation, and coregistration of temporally resolved datasets.

Paper Details

Date Published: 10 May 2007
PDF: 9 pages
Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65111I (10 May 2007); doi: 10.1117/12.713759
Show Author Affiliations
Robert Wentz, Mayo Clinic College of Medicine (United States)
Armando Manduca, Mayo Clinic College of Medicine (United States)
J. G. Fletcher, Mayo Clinic College of Medicine (United States)
Hassan Siddiki, Mayo Clinic College of Medicine (United States)
Raymond C. Shields, Mayo Clinic College of Medicine (United States)
Terri Vrtiska, Mayo Clinic College of Medicine (United States)
Garrett Spencer, Mayo Clinic College of Medicine (United States)
Andrew N. Primak, Mayo Clinic College of Medicine (United States)
Jie Zhang, Mayo Clinic College of Medicine (United States)
Theresa Nielson, Mayo Clinic College of Medicine (United States)
Cynthia McCollough, Mayo Clinic College of Medicine (United States)
Lifeng Yu, Mayo Clinic College of Medicine (United States)


Published in SPIE Proceedings Vol. 6511:
Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Armando Manduca; Xiaoping P. Hu, Editor(s)

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