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Automated Fusion of Multi-modality Biomedical Images

  • Kartonierter Einband
  • 164 Seiten
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A novel automated approach of multi-modality biomedical image control point detection, registration, and fusion has been successfu... Weiterlesen
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Beschreibung

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.

Autorentext

Hua Cao is a Senior Research Scientist in the Computer Science and Ophthalmology Dept. of Louisiana State University, USA. She received B.E. of Information Science in 2000, M.S. of Systems Science in 2003, and Ph.D. of Computer Science in 2008. Her research interests include biomedical imaging, feature extraction, and image registration and fusion.

Produktinformationen

Titel: Automated Fusion of Multi-modality Biomedical Images
Untertitel: A Novel Automated Approach of Control PointDetection, Registration, and Fusion
Autor:
EAN: 9783639066227
ISBN: 3639066227
Format: Kartonierter Einband
Genre: Informatik
Anzahl Seiten: 164
Gewicht: 262g
Größe: H218mm x B149mm x T15mm
Jahr: 2013

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