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- W1994391312 abstract "Coregistered optoacoustic (OA) and ultrasound (US) images obtained using a dual modality optoacoustic/ultrasonicbreast imaging system are used together for enhanced diagnostic capabilities in comparison to each individualtechnology. Therefore, an operator-independent delineation of diagnostically relevant objects (in our case breast tumors)with subsequent automatic analysis of image features is required. We developed the following procedure: 1) Imagefiltering is implemented on a US image to minimize speckle noise and simultaneously preserve the sharpness of theboundaries of the extended objects; 2) Boundaries of the objects of interest are automatically delineated starting with aninitial guess made by an operator; 3) Both US and OA images are analyzed using the detected boundaries (contrast,boundary sharpness, homogeneity of the objects and background, boundary morphology parameters are calculated).Calculated image characteristics can be used for statistically independent evaluation of structural information (US data)and vascularization (OA data) of the studied breast tissues. Operator-independent delineation of the objects of interest(e.g. tumors and blood vessels) is essential in clinical OA spectroscopy (using multiple laser wavelengths to quantifyconcentrations of particular tissue chromophores, such as oxy- and deoxy- hemoglobin, water, and lipids). Anotherpotential application of the suggested image analysis algorithm could be in OA imaging system design, when systemperformance should be evaluated in terms of quality of the images reconstructed from the well-defined objects ofinterest. The discussed principles of image analysis are illustrated by using real clinical US and OA data." @default.
- W1994391312 created "2016-06-24" @default.
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- W1994391312 date "2011-02-10" @default.
- W1994391312 modified "2023-09-23" @default.
- W1994391312 title "Image processing and analysis in a dual-modality optoacoustic/ultrasonic system for breast cancer diagnosis" @default.
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- W1994391312 doi "https://doi.org/10.1117/12.877389" @default.
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