Computational optical biopsy
نویسندگان
چکیده
منابع مشابه
Computational optical biopsy
Optical molecular imaging is based on fluorescence or bioluminescence, and hindered by photon scattering in the tissue, especially in patient studies. Here we propose a computational optical biopsy (COB) approach to localize and quantify a light source deep inside a subject. In contrast to existing optical biopsy techniques, our scheme is to collect optical signals directly from a region of int...
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We are investigating compressive sensing architectures for applications in endomicroscopy, where the narrow diameter probes required for tissue access can limit the achievable spatial resolution. We hypothesize that the compressive sensing framework can be used to overcome the fundamental pixel number limitation in fiber-bundle based endomicroscopy by reconstructing images with more resolvable ...
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This article reviews the application of various types of optical spectroscopy and metrology to minimally invasive medical diagnostics. The promises and hopes, as well as the difficulties, of these developing techniques are discussed. The term ‘‘optical biopsy’’ has entered into common usage among researchers in the field of biomedical optics. Although it is inherently an inaccurate term—it is p...
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The ability to obtain information about the structure of tissue without taking a sample for pathology has opened the way for new diagnostic techniques. The present paper reviews all currently available techniques capable of producing an optical biopsy, with or without morphological images. Most of these techniques are carried out by physicians who are not specialized in pathology and therefore ...
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We are using compressive sensing concepts to overcome the resolution limitation imposed by discrete fibers in coherent bundle-based endomicroscopy. Resolution can be improved beyond the native pixel number by integrating system-specific information within reconstruction algorithms. OCIS codes: (110.1758) Computational imaging; (170.2150) Endoscopic imaging; (170.0110) Imaging systems;
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ژورنال
عنوان ژورنال: BioMedical Engineering OnLine
سال: 2005
ISSN: 1475-925X
DOI: 10.1186/1475-925x-4-36