TY - GEN
T1 - Order statistic based cardiac boundary detection in 3D+t echocardiograms
AU - Butakoff, C.
AU - Sukno, F.
AU - Doltra, A.
AU - Silva, E.
AU - Sitges, M.
AU - Frangi, A. F.
PY - 2011
Y1 - 2011
N2 - We propose a boundary detector for echocardiographic images to be used in conjunction with deformable models. It is well suited to detect endocardial and epicardial boundaries in both 2D and 3D images. We demonstrate its capabilities on an example of Active Shape Models, where it is used as a force driving the mesh towards the cardiac walls. Although the proposed approach is mostly specific to echocardiography, it does not require any training to learn the image appearance (since construction of a training set of echocardiograms is very difficult and error prone). The detector is based on computing the medians of a series of neighborhoods and analyzing the change in their values to look for the evidence of an edge. The proposed algorithm was tested on thirty 3D echocardiographic sequences (corresponding to 10 healthy and 10 dyssinchronous hearts, the latter imaged at two stages of cardiac resynchronization therapy: before and at twelve month followup).
AB - We propose a boundary detector for echocardiographic images to be used in conjunction with deformable models. It is well suited to detect endocardial and epicardial boundaries in both 2D and 3D images. We demonstrate its capabilities on an example of Active Shape Models, where it is used as a force driving the mesh towards the cardiac walls. Although the proposed approach is mostly specific to echocardiography, it does not require any training to learn the image appearance (since construction of a training set of echocardiograms is very difficult and error prone). The detector is based on computing the medians of a series of neighborhoods and analyzing the change in their values to look for the evidence of an edge. The proposed algorithm was tested on thirty 3D echocardiographic sequences (corresponding to 10 healthy and 10 dyssinchronous hearts, the latter imaged at two stages of cardiac resynchronization therapy: before and at twelve month followup).
UR - http://www.scopus.com/inward/record.url?scp=79957648844&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21028-0_46
DO - 10.1007/978-3-642-21028-0_46
M3 - Conference contribution
AN - SCOPUS:79957648844
SN - 9783642210273
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 359
EP - 366
BT - Functional Imaging and Modeling of the Heart - 6th International Conference, FIMH 2011, Proceedings
T2 - 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011
Y2 - 25 May 2011 through 27 May 2011
ER -