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In vivo quantification of murine aortic cyclic strain, motion, and curvature: Implications for abdominal aortic aneurysm growth
Author(s) -
Goergen Craig J.,
Barr Kyla N.,
Huynh Diem T.,
EasthamAnderson Jeffrey R.,
Choi Gilwoo,
Hedehus Maj,
Dalman Ronald L.,
Connolly Andrew J.,
Taylor Charles A.,
Tsao Philip S.,
Greve Joan M.
Publication year - 2010
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.22331
Subject(s) - elastin , aorta , curvature , abdominal aorta , anatomy , curvatures of the stomach , medicine , in vivo , centroid , biomedical engineering , mathematics , biology , pathology , geometry , microbiology and biotechnology , stomach
Purpose To develop methods to quantify cyclic strain, motion, and curvature of the murine abdominal aorta in vivo. Materials and Methods C57BL/6J and apoE −/− mice underwent three‐dimensional (3D) time‐of‐flight MR angiography to position cardiac‐gated 2D slices at four locations along the abdominal aorta where circumferential cyclic strain and lumen centroid motion were calculated. From the 3D data, a centerline through the aorta was created to quantify geometric curvature at 0.1‐mm intervals. Medial elastin content was quantified with histology postmortem. The location and shape of abdominal aortic aneurysms (AAAs), created from angiotensin II infusion, were evaluated qualitatively. Results Strain waveforms were similar at all locations and between groups. Centroid motion was significantly larger and more leftward above the renal vessels than below ( P < 0.05). Maximum geometric curvature occurred slightly proximal to the right renal artery. Elastin content was similar around the circumference of the vessel. AAAs developed in the same location as the maximum curvature and grew in the same direction as vessel curvature and motion. Conclusion The methods presented provide temporally and spatially resolved data quantifying murine aortic motion and curvature in vivo. This noninvasive methodology will allow serial quantification of how these parameters influence the location and direction of AAA growth. J. Magn. Reson. Imaging 2010;32:847–858. © 2010 Wiley‐Liss, Inc.