Cardiac fiber inpainting using cartan forms
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Standard
Cardiac fiber inpainting using cartan forms. / Piuze, Emmanuel; Lombaert, Herve; Sporring, Jon; Siddiqi, Kaleem.
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. ed. / Kensaku Moru; Ichiro Sakuma; Yoshinobu Sato; Christian Barillot; Nassir Navab. Springer, 2013. p. 509-517 (Lecture notes in computer science, Vol. 8150).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - GEN
T1 - Cardiac fiber inpainting using cartan forms
AU - Piuze, Emmanuel
AU - Lombaert, Herve
AU - Sporring, Jon
AU - Siddiqi, Kaleem
N1 - Conference code: 16
PY - 2013
Y1 - 2013
N2 - Recent progress in diffusion imaging has lead to in-vivo acquisitions of fiber orientation data in the beating heart. Current methods are however limited in resolution to a few short-axis slices. For this particular application and others where the diffusion volume is subsampled, partial or even damaged, the reconstruction of a complete volume can be challenging. To address this problem, we present two complementary methods for fiber reconstruction from sparse orientation measurements, both of which derive from second-order properties related to fiber curvature as described by Maurer-Cartan connection forms. The first is an extrinsic partial volume reconstruction method based on principal component analysis of the connection forms and is best put to use when dealing with highly damaged or sparse data. The second is an intrinsic method based on curvilinear interpolation of the connection forms on ellipsoidal shells and is advantageous when more slice data becomes available. Using a database of 8 cardiac rat diffusion tensor images we demonstrate that both methods are able to reconstruct complete volumes to good accuracy and lead to low reconstruction errors.
AB - Recent progress in diffusion imaging has lead to in-vivo acquisitions of fiber orientation data in the beating heart. Current methods are however limited in resolution to a few short-axis slices. For this particular application and others where the diffusion volume is subsampled, partial or even damaged, the reconstruction of a complete volume can be challenging. To address this problem, we present two complementary methods for fiber reconstruction from sparse orientation measurements, both of which derive from second-order properties related to fiber curvature as described by Maurer-Cartan connection forms. The first is an extrinsic partial volume reconstruction method based on principal component analysis of the connection forms and is best put to use when dealing with highly damaged or sparse data. The second is an intrinsic method based on curvilinear interpolation of the connection forms on ellipsoidal shells and is advantageous when more slice data becomes available. Using a database of 8 cardiac rat diffusion tensor images we demonstrate that both methods are able to reconstruct complete volumes to good accuracy and lead to low reconstruction errors.
U2 - 10.1007/978-3-642-40763-5_63
DO - 10.1007/978-3-642-40763-5_63
M3 - Article in proceedings
SN - 978-3-642-40762-8
T3 - Lecture notes in computer science
SP - 509
EP - 517
BT - Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013
A2 - Moru, Kensaku
A2 - Sakuma, Ichiro
A2 - Sato, Yoshinobu
A2 - Barillot, Christian
A2 - Navab, Nassir
PB - Springer
T2 - 16th International Conference on Medical Image Computing and Computer-Assisted Intervention
Y2 - 22 September 2013 through 26 September 2013
ER -
ID: 45777771