Name
Title | ||
|---|---|---|
The decomposition of deformation: New metrics to enhance shape analysis in medical imaging. |
Abstract | ||
|---|---|---|
•Shape analysis in Medical Image requires an appropriate decomposition of deformation.•Spherical (purely homothetic), Deviatoric (affine non-homothetic) and Non Affine components must be defined to be reciprocally orthogonal.•This can be done in different ways depending on the metric used for size definition: Centroid Size and m-Volume are the most used measures.•We propose three different strategies, “Fully Euclidean”, “GPp”, “TPSs”, in order to decompose deformations in series of shapes.•We applied this to 3D Speckle Tracking Echocardiography data including healthy Control subjects and patients affected by Hypertrophic Cardiomyopathy; while pathology is best recognized using the Fully Euclidean metric, the differential mechanical behaviour of epicardium and epicardium is better perceived using the non Euclidean TPS metric. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.media.2018.02.005 | Medical Image Analysis |
Keywords | Field | DocType |
Geometric morphometrics,Decomposition of deformation,Riemannian metrics,Size and shape,Left ventricle deformation | Affine transformation,Thin plate spline,Pattern recognition,Medical imaging,Mathematical analysis,Tangent,Artificial intelligence,Deformation (mechanics),Mathematics,Centroid,Shape analysis (digital geometry),Tangent space | Journal |
Volume | ISSN | Citations |
46 | 1361-8415 | 0 |
PageRank | References | Authors |
0.34 | 7 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| v varano | 1 | 3 | 1.12 |
| paolo piras | 2 | 3 | 1.12 |
| s gabriele | 3 | 3 | 1.45 |
| luciano teresi | 4 | 1 | 1.73 |
| paola nardinocchi | 5 | 1 | 1.39 |
| Ian L. Dryden | 6 | 38 | 5.68 |
| Concetta Torromeo | 7 | 4 | 2.28 |
| Paolo Emilio Puddu | 8 | 22 | 6.21 |