title: Automatic left ventricle detection in echocardiographic images for deformable contour initialization.
abstract: The accurate left ventricular boundary detection in echocardiographic images allow cardiologists to study and assess cardiomyopathy in patients. Due to the tedious and time consuming manner of manually tracing the borders, deformable models are generally used for left ventricle segmentations. However, most deformable models require a good initialization, which is usually outlined manually by the user. In this paper, we propose an automated left ventricle detection method for two-dimensional echocardiographic images that could serve as an initialization for deformable models. The proposed approach consists of pre-processing and post-processing stages, coupled with the watershed segmentation. The pre-processing stage enhances the overall contrast and reduces speckle noise, whereas the post-processing enhances the segmented region and avoids the papillary muscles. The performance of the proposed method is evaluated on real data. Experimental results show that it is suitable for automatic contour initialization since no prior assumptions nor human interventions are required. Besides, the computational time taken is also lower compared to an existing method.
authors.affiliation: School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW 2522, Australia. aseng@uow.edu.au
authors.forename: Cher Hau
authors.initials: CH
authors.lastname: Seng
authors.forename: Ramazan
authors.initials: R
authors.lastname: Demirli
authors.forename: Moeness G
authors.initials: MG
authors.lastname: Amin
authors.forename: Jason L
authors.initials: JL
authors.lastname: Seachrist
authors.forename: Abdesselam
authors.initials: A
authors.lastname: Bouzerdoum
mesh_terms: D000465:Algorithms; D002309:Cardiology / Q000379:methods; D003287:Contrast Media / Q000494:pharmacology; D004452:Echocardiography / Q000379:methods*; D001330:Electronic Data Processing; D006352:Heart Ventricles / Q000473:pathology; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors
chemical_list: D003287:Contrast Media