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Topology is a strong global constraint that can be useful in generating geometrically accurate segmentations of anatomical structures. It is necessary to integrate topological constraints into segmentation procedures in order to generate geometrically accurate and topologically correct models, which is critical for many clinical and research applications. Topology is the
mathematical study of the properties that are sealed through deformations, twisting, and distending of objects. Human anatomy follows this rule, even for tremendously complicated shapes like the cerebral cortex or the vasculature. To achieve accurate and topologically correct descriptions of anatomical structures from medical images is a critical step for many clinical applications In medical imaging, the overall shape of a region of interest is typically prescribed by medical knowledge; it is usually known a priori. Excluding pathological cases, the shape of most macroscopic brain structures can be continuously deformed into a sphere. In mathematical terms, these structures have the topology of a sphere. The field of biomedical imaging utilizes advanced technologies to capture, store, analyze and display images at the organ, tissue, cellular and molecular level.
Modalities such as computed tomography, magnetic resonance imaging, molecular imaging and scanning microscopies play an increasingly important role in clinical practice and basic life sciences research. The aim of this seminar is to bring together researchers in topology and biomedical image processing and discuss the recent advances of topology in biomedical image processing.
Paper Presentation Topics
Introduction to Bio Medical Image Processing
Topology – A review
Topology in Bio Medical Image Processing
Dr.D.Nedumaran, Madras University
Dr.Parvathi, Vellalar College for women
Dr.M.Dhavamani - 98427 40601
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