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Biomedical photoacoustic imaging [PDF]
Interface Focus, 2011 Abstract Photoacoustic (PA) imaging, also called optoacoustic imaging, is a new biomedical imaging modality based on the use of laser-generated ultrasound that has emerged over the last decade. It is a hybrid modality, combining the high-contrast and spectroscopic-based specificity of optical imaging with the high spatial resolution ...
Paul C Beard
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Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
Segmentation of biomedical images separates scenes into their components based on recognition of locally similar patterns of intensity, color, texture or other features, with or without use of a priori knowledge regarding the objects or "camera" used to acquire the images.
Michael W. Vannier, John W. Haller
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Segmentation of biomedical images separates scenes into their components based on recognition of locally similar patterns of intensity, color, texture or other features, with or without use of a priori knowledge regarding the objects or "camera" used to acquire the images.
Michael W. Vannier, John W. Haller
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Biomedical Signal and Image Processing
IEEE Pulse, 2011Generally, physiological modeling and biomedical signal processing constitute two important paradigms of biomedical engineering (BME): their fundamental concepts are taught starting from undergraduate studies and are more completely dealt with in the last years of graduate curricula, as well as in Ph.D. courses.
CERUTTI, SERGIO +13 more
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Computer Processing of Biomedical Images
Computer, 1976The 1970's have witnessed two dramatic innovations in the application of computers to image processing in medicine: computerized tomography (CT), a system where data gathered from an x-ray scanner are fed into a computer to produce cross-sectional images of the human body, and white blood cell differentiation (WBCD), a system that uses a television ...
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Filter for biomedical imaging and image processing
Journal of the Optical Society of America A, 2006Image filtering techniques have numerous potential applications in biomedical imaging and image processing. The design of filters largely depends on the a priori, knowledge about the type of noise corrupting the image. This makes the standard filters application specific.
Partha P, Mondal +2 more
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Biomedical Image Communication Platform
2013 First International Symposium on Computing and Networking, 2013Recent progress in the field of biomedical imaging has led to the demand for large-scale three-dimensional (3D) image analysis in modern biology. Existing image-processing systems lack either cloud computing services or advanced 3D processing ability. This paper proposes a novel cloud-based communication platform for biomedical images.
Masahiko Morita +9 more
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2012
This chapter builds on the basic principles of THz spectroscopy and explains how they can be applied to biomedical systems as well as the motivation for doing so. Sample preparation techniques and measurement methods for biomedical samples are described in detail.
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This chapter builds on the basic principles of THz spectroscopy and explains how they can be applied to biomedical systems as well as the motivation for doing so. Sample preparation techniques and measurement methods for biomedical samples are described in detail.
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Languages for biomedical image processing
COMPSAC 79. Proceedings. Computer Software and The IEEE Computer Society's Third International Applications Conference, 1979., 2005It is estimated that approximately fifty image processing languages are in common use worldwide. Those languages which are specific to biomedical image analysis are the subject of this paper. In general, image processing languages range from those which are self-contained, i.e., include their own monitor, parser, interpretor, memory management, and ...
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Molecular imaging in oncology: Current impact and future directions
Ca-A Cancer Journal for Clinicians, 2022Steven P Rowe, Martin G Pomper
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