Portal de Periódicos da CAPES

A review of algorithms for medical image segmentation and their applications to the female pelvic cavity

2009; Taylor & Francis; Volume: 13; Issue: 2 Linguagem: Inglês

10.1080/10255840903131878

1476-8259

Zhen Ma, João Manuel R. S. Tavares, Renato Natal Jorge, Teresa Mascarenhas,

Medical Imaging and Analysis

Abstract This paper aims to make a review on the current segmentation algorithms used for medical images. Algorithms are classified according to their principal methodologies, namely the ones based on thresholds, the ones based on clustering techniques and the ones based on deformable models. The last type is focused on due to the intensive investigations into the deformable models that have been done in the last few decades. Typical algorithms of each type are discussed and the main ideas, application fields, advantages and disadvantages of each type are summarised. Experiments that apply these algorithms to segment the organs and tissues of the female pelvic cavity are presented to further illustrate their distinct characteristics. In the end, the main guidelines that should be considered for designing the segmentation algorithms of the pelvic cavity are proposed. Keywords: bioengineeringbiomedical engineeringmedical imagingalgorithms reviewthresholding techniquesclustering techniquesdeformable modelsfemale pelvic cavity Acknowledgements This work was partially done in the scope of the projects ‘Segmentation, Tracking and Motion Analysis of Deformable (2D/3D) Objects Using Physical Principles’ and ‘BIOPELVIC-Study of Female Pelvic Floor Disorders’, with references POSC/EEA-SRI/55386/2004 and PTDC/SAU-BEB/71459/2006, financially supported by Fundação para a Ciência e a Tecnologia of Portugal. The first author would like to thank the Fundação para a Ciência e a Tecnologia for his PhD grant with reference SFRH/BD/43768/2008. The authors would like to thank the anonymous reviewers for their valuable suggestions. Additional informationNotes on contributorsZhen Ma1.1.zhen.ma@fe.up.ptRenato Natal Jorge2.2.rnatal@fe.up.ptT. Mascarenhas3.3.tqc@sapo.pt