TY - GEN
T1 - A point-wise quantification of asymmetry using deformation fields
T2 - 10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007
AU - Ólafsdóttir, Hildur
AU - Lanche, Stephanie
AU - Darvann, Iron A.
AU - Hermann, Nuno V.
AU - Larsen, Rasmus
AU - Ersbøll, Bjarne K.
AU - Oubel, Estanislao
AU - Frangi, Alejandro F.
AU - Larsen, Per
AU - Perlyn, Chad A.
AU - Morriss-Kay, Gillian M.
AU - Kreiborg, Sven
PY - 2007
Y1 - 2007
N2 - This paper introduces a novel approach to quantify asymmetry in each point of a surface. The measure is based on analysing displacement vectors resulting from nonrigid image registration. A symmetric atlas, generated from control subjects is registered to a given subject image. A comparison of the resulting displacement vectors on the left and right side of the symmetry plane, gives a point-wise measure of asymmetry. The asymmetry measure was applied to the study of Crouzon syndrome using Micro CT scans of genetically modified mice. Crouzon syndrome is characterised by the premature fusion of cranial sutures, which gives rise to a highly asymmetric growth. Quantification and localisation of this asymmetry is of high value with respect to surgery planning and treatment evaluation. Using the proposed method, asymmetry was calculated in each point of the surface of Crouzon mice and wild-type mice (controls). Asymmetry appeared in similar regions for the two groups but the Crouzon mice were found significantly more asymmetric. The localisation ability of the method was in good agreement with ratings from a clinical expert. Validating the quantification ability is a less trivial task due to the lack of a gold standard. Nevertheless, a comparison with a different, but less accurate measure of asymmetry revealed good correlation.
AB - This paper introduces a novel approach to quantify asymmetry in each point of a surface. The measure is based on analysing displacement vectors resulting from nonrigid image registration. A symmetric atlas, generated from control subjects is registered to a given subject image. A comparison of the resulting displacement vectors on the left and right side of the symmetry plane, gives a point-wise measure of asymmetry. The asymmetry measure was applied to the study of Crouzon syndrome using Micro CT scans of genetically modified mice. Crouzon syndrome is characterised by the premature fusion of cranial sutures, which gives rise to a highly asymmetric growth. Quantification and localisation of this asymmetry is of high value with respect to surgery planning and treatment evaluation. Using the proposed method, asymmetry was calculated in each point of the surface of Crouzon mice and wild-type mice (controls). Asymmetry appeared in similar regions for the two groups but the Crouzon mice were found significantly more asymmetric. The localisation ability of the method was in good agreement with ratings from a clinical expert. Validating the quantification ability is a less trivial task due to the lack of a gold standard. Nevertheless, a comparison with a different, but less accurate measure of asymmetry revealed good correlation.
UR - http://www.scopus.com/inward/record.url?scp=84883839052&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-75759-7_55
DO - 10.1007/978-3-540-75759-7_55
M3 - Conference contribution
C2 - 18044600
AN - SCOPUS:84883839052
SN - 9783540757580
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 452
EP - 459
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings
PB - Springer-Verlag Italia
Y2 - 29 October 2007 through 2 November 2007
ER -