Automatic quantification of congruity from knee MRI

TY - GEN

T1 - Automatic quantification of congruity from knee MRI

AU - Tummala, Sudhakar

AU - Dam, Erik

AU - Nielsen, Mads

N1 - Conference code: 6

PY - 2012/1/1

Y1 - 2012/1/1

N2 - Biomechanical factors may play a critical role in the initiation and progression of Osteoarthritis (OA). We present a method to quantify the medial tibiofemoral (MTF) congruity from low-field magnetic resonance imaging (MRI). Firstly, the MTF cartilage compartments were segmented fully automatically using a voxel quantification approach. Further, the contact area (CA) was computed using the Euclidian distance transformation by setting the voxel width as threshold. Eventually, the congruity index (CI) was computed point-by-point over CA as the inverse distance between the local normal vectors scaled by the local normal curvatures along the local direction of principal knee motion. The ability of the CI quantification method was cross-validated for various tasks of diagnosis of OA. Healthy knees were more congruent than knees with OA. These quantification methods might be suitable to help explain the onset and diagnosis of OA.

AB - Biomechanical factors may play a critical role in the initiation and progression of Osteoarthritis (OA). We present a method to quantify the medial tibiofemoral (MTF) congruity from low-field magnetic resonance imaging (MRI). Firstly, the MTF cartilage compartments were segmented fully automatically using a voxel quantification approach. Further, the contact area (CA) was computed using the Euclidian distance transformation by setting the voxel width as threshold. Eventually, the congruity index (CI) was computed point-by-point over CA as the inverse distance between the local normal vectors scaled by the local normal curvatures along the local direction of principal knee motion. The ability of the CI quantification method was cross-validated for various tasks of diagnosis of OA. Healthy knees were more congruent than knees with OA. These quantification methods might be suitable to help explain the onset and diagnosis of OA.

U2 - 10.1007/978-1-4614-3172-5_7

DO - 10.1007/978-1-4614-3172-5_7

M3 - Article in proceedings

SN - 978-1-4614-3171-8

SP - 51

EP - 61

BT - Computational Biomechanics for Medicine

A2 - Nielsen, Poul M. F.

A2 - Wittek, Adam

A2 - Miller, Karol

PB - Springer

T2 - 6th Workshop on Computational Biomechanics for Medicine

Y2 - 18 September 2011 through 18 September 2011

ER -