A novel automated approach of multi-modality biomedical image control point detection, registration, and fusion has been successfully developed. The new algorithm, which consists of the Adaptive Exploratory Algorithm for the control point/feature detection and Heuristic Optimization Algorithm, is reliable and time efficient. The new approach has been applied on three ophthalmologic modalities of nonhuman primate eyes - angiogram, fundus, and oxygen saturation retinal images. It has achieved an excellent result by giving the visualization of fundus or oxygen saturation image with a complete angiogram overlay. By locking the multi-sensor retinal images in one place, the algorithm allows ophthalmologists to match the same eye over time to get a sense of disease progress and pinpoint surgical tools. The new registration and fusion algorithm can be easily expanded to the eye, brain, or body images of human or animals'. The target readers are graduate/undergraduate students, faculty, and research scientists who are interested in the image registration and fusion algorithms; ophthalmologists and physicians; image processing software developers; and whoever wants to learn image fusion.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Cao HuaHua Cao is a Senior Research Scientist in the Computer Sciencenand Ophthalmology Dept. of Louisiana State University, USA. Shenreceived B.E. of Information Science in 2000, M.S. of SystemsnScience in 2003, and Ph.D. of Compute. N° de réf. du vendeur 4954242
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A novel automated approach of multi-modalitybiomedical image control point detectionregistration, and fusion has been successfullydeveloped. The new algorithm, which consists of theAdaptive Exploratory Algorithm for the controlpoint/feature detection and Heuristic OptimizationAlgorithm, is reliable and time efficient. The newapproach has been applied on three ophthalmologicmodalities of nonhuman primate eyes - angiogramfundus, and oxygen saturation retinal images. It hasachieved an excellent result by giving thevisualization of fundus or oxygen saturation imagewith a complete angiogram overlay. By locking themulti-sensor retinal images in one place, thealgorithm allows ophthalmologists to match the sameeye over time to get a sense of disease progress andpinpoint surgical tools. The new registration andfusion algorithm can be easily expanded to the eyebrain, or body images of human or animals'. Thetarget readers are graduate/undergraduate studentsfaculty, and research scientists who are interestedin the image registration and fusion algorithms;ophthalmologists and physicians; image processingsoftware developers; and whoever wants to learn imagefusion. N° de réf. du vendeur 9783639066227
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