Medical Image Segmentation Algorithms using Deformable Models: A Review
Devappa Jayadevappa, S. Srinivas Kumar, D. S. Murty · IETE Technical Review · 2011
AbstractImage segmentation is an important step in image processing. Major advances in the field of medical imaging have provided physicians with powerful and non-invasive techniques to probe the structure, function, and pathology of the human body. This information requires significant innovations in all aspect of image processing. Manual tracing of object boundaries generally suffers from poor reproducibility of results and it is also tedious and time consuming. Further, manual segmentations are often restricted to two dimensional (2D) slice-wise processing, which often suffers from inconsistency across segmented slices. Quantitative analysis of medical images requires reproducible, accurate, and efficient segmentation methods. By making use of medical image segmentation approaches accurate, repeatable, quantitative data must be efficiently extracted in order to support the spectrum of biomedical investigations and clinical activities, from diagnosis to radiotherapy as well as to surgery. Purpose of thi...