TY - GEN
T1 - Cartan frames for heart wall fiber motion
AU - Samari, Babak
AU - Aumentado-Armstrong, Tristan
AU - Strijkers, Gustav
AU - Froeling, Martijn
AU - Siddiqi, Kaleem
PY - 2017
Y1 - 2017
N2 - Current understanding of heart wall fiber geometry is based on ex vivo static data obtained through diffusion imaging or histology. Thus, little is known about the manner in which fibers rotate as the heart beats. Yet, the geometric organization of moving fibers in the heart wall is key to its mechanical function and to the distribution of forces in it to effect efficient, repetitive pumping. We develop a moving frame method to address this problem, with a spatio-temporal formulation of the associated Cartan matrix. We apply our construction to simulated (canine) data obtained from a left ventricular mechanics challenge, and to in vivo human left ventricular data. The method shows promise in providing Cartan connection parameters to describe spatio-temporal rotations of fibers, which in turn could benefit subsequent analyses or be used for diagnostic purposes.
AB - Current understanding of heart wall fiber geometry is based on ex vivo static data obtained through diffusion imaging or histology. Thus, little is known about the manner in which fibers rotate as the heart beats. Yet, the geometric organization of moving fibers in the heart wall is key to its mechanical function and to the distribution of forces in it to effect efficient, repetitive pumping. We develop a moving frame method to address this problem, with a spatio-temporal formulation of the associated Cartan matrix. We apply our construction to simulated (canine) data obtained from a left ventricular mechanics challenge, and to in vivo human left ventricular data. The method shows promise in providing Cartan connection parameters to describe spatio-temporal rotations of fibers, which in turn could benefit subsequent analyses or be used for diagnostic purposes.
UR - http://www.scopus.com/inward/record.url?scp=85020401035&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/978-3-319-59448-4_4
DO - https://doi.org/10.1007/978-3-319-59448-4_4
M3 - Conference contribution
SN - 9783319594477
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 32
EP - 41
BT - Functional Imaging and Modelling of the Heart - 9th International Conference, FIMH 2017, Proceedings
A2 - Pop, Mihaela
A2 - Wright, Graham A.
PB - Springer Verlag
T2 - 9th International Conference on Functional Imaging and Modelling of the Heart, FIMH 2017
Y2 - 11 June 2017 through 13 June 2017
ER -