TY - GEN
T1 - Conical deformable model for myocardial segmentation in late-enhanced MRI
AU - Albá, Xènia
AU - I Ventura, Rosa M.Figueras
AU - Lekadir, Karim
AU - Frangi, Alejandro F.
PY - 2012
Y1 - 2012
N2 - This paper presents a conical 3D deformable template for fully automatic and robust segmentation of late-enhanced MRI (LE-MRI) datasets. The proposed technique has several advantages over existing works. Firstly, it uses a thick-walled conical model that is suitable to derive fully automatic and reliable initialization by taking into account potential short-axis misalignments. Furthermore, it uses to its advantage the geometrical and appearance properties of the blood pool to decouple the endocardial and epicardial segmentations. The final epicardial result is obtained using thickness smoothness measures constrained on the initial robust segmentation of the endocardium. Detailed validation using 20 LE-MRI datasets and comparison to previous work demonstrates that the technique is reliable and promising for clinical assessment of LE-MRI data.
AB - This paper presents a conical 3D deformable template for fully automatic and robust segmentation of late-enhanced MRI (LE-MRI) datasets. The proposed technique has several advantages over existing works. Firstly, it uses a thick-walled conical model that is suitable to derive fully automatic and reliable initialization by taking into account potential short-axis misalignments. Furthermore, it uses to its advantage the geometrical and appearance properties of the blood pool to decouple the endocardial and epicardial segmentations. The final epicardial result is obtained using thickness smoothness measures constrained on the initial robust segmentation of the endocardium. Detailed validation using 20 LE-MRI datasets and comparison to previous work demonstrates that the technique is reliable and promising for clinical assessment of LE-MRI data.
KW - 3D model
KW - deformable model
KW - LE-MRI
KW - Myocardial segmentation
KW - slice alignment correction
UR - http://www.scopus.com/inward/record.url?scp=84864862312&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2012.6235536
DO - 10.1109/ISBI.2012.6235536
M3 - Conference contribution
AN - SCOPUS:84864862312
SN - 9781457718588
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 270
EP - 273
BT - 2012 9th IEEE International Symposium on Biomedical Imaging
T2 - 2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012
Y2 - 2 May 2012 through 5 May 2012
ER -