Moving frames for heart fiber geometry
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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Moving frames for heart fiber geometry. / Piuze, Emmanuel; Sporring, Jon; Siddiqi, Kaleem.
Information Processing in Medical Imaging: 23rd International Conference, IPMI 2013, Asilomar, CA, USA, Proceedings. ed. / James C. Gee; Sarang Joshi; Kilian M. Pohl; William M. Wells; Lilla Zöllei. Springer, 2013. p. 524-535 (Lecture notes in computer science, Vol. 7917).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Moving frames for heart fiber geometry
AU - Piuze, Emmanuel
AU - Sporring, Jon
AU - Siddiqi, Kaleem
N1 - Conference code: 23
PY - 2013
Y1 - 2013
N2 - Elongated cardiac muscle cells named cardiomyocytes are densely packed in an intercellular collagen matrix and are aligned to helical segments in a manner which facilitates pumping via alternate contraction and relaxation. Characterizing the geometrical variation of their groupings as cardiac fibers is central to our understanding of normal heart function. Motivated by a recent abstraction by Savadjiev et al. of heart wall fibers into generalized helicoid minimal surfaces, this paper develops an extension based on differential forms. The key idea is to use Maurer-Cartan’s method of moving frames to study the rotations of a frame field attached to the local fiber direction. This approach provides a new set of parameters that are complimentary to those of Savadjiev et al. and offers a framework for developing new models of the cardiac fiber architecture. This framework is used to compute the generalized helicoid parameters directly, without the need to formulate an optimization problem. The framework admits a straightforward numerical implementation that provides statistical measurements consistent with those previously reported. Using Diffusion MRI we demonstrate that one such specialization, the homeoid, constrains fibers to lie locally within ellipsoidal shells and yields improved fits in the rat, the dog and the human to those obtained using generalized helicoids.
AB - Elongated cardiac muscle cells named cardiomyocytes are densely packed in an intercellular collagen matrix and are aligned to helical segments in a manner which facilitates pumping via alternate contraction and relaxation. Characterizing the geometrical variation of their groupings as cardiac fibers is central to our understanding of normal heart function. Motivated by a recent abstraction by Savadjiev et al. of heart wall fibers into generalized helicoid minimal surfaces, this paper develops an extension based on differential forms. The key idea is to use Maurer-Cartan’s method of moving frames to study the rotations of a frame field attached to the local fiber direction. This approach provides a new set of parameters that are complimentary to those of Savadjiev et al. and offers a framework for developing new models of the cardiac fiber architecture. This framework is used to compute the generalized helicoid parameters directly, without the need to formulate an optimization problem. The framework admits a straightforward numerical implementation that provides statistical measurements consistent with those previously reported. Using Diffusion MRI we demonstrate that one such specialization, the homeoid, constrains fibers to lie locally within ellipsoidal shells and yields improved fits in the rat, the dog and the human to those obtained using generalized helicoids.
U2 - 10.1007/978-3-642-38868-2_44
DO - 10.1007/978-3-642-38868-2_44
M3 - Article in proceedings
SN - 978-3-642-38867-5
T3 - Lecture notes in computer science
SP - 524
EP - 535
BT - Information Processing in Medical Imaging
A2 - Gee, James C.
A2 - Joshi, Sarang
A2 - Pohl, Kilian M.
A2 - Wells, William M.
A2 - Zöllei, Lilla
PB - Springer
T2 - 23rd International Conference on Information Processing in Medical Imaging
Y2 - 28 June 2013 through 3 July 2013
ER -
ID: 44800266