Paper
5 June 2014 Bessel filters applied in biomedical image processing
Author Affiliations +
Abstract
A magnetic resonance is an image obtained by means of an imaging test that uses magnets and radio waves to create body images, however, in some images it’s difficult to recognize organs or foreign agents present in the body. With these Bessel filters the objective is to significantly increase the resolution of magnetic resonance images taken to make them much clearer in order to detect anomalies and diagnose the illness. As it’s known, Bessel filters appear to solve the Schrödinger equation for a particle enclosed in a cylinder and affect the image distorting the colors and contours of it, therein lies the effectiveness of these filters, since the clear outline shows more defined and easy to recognize abnormalities inside the body.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Juan Pablo Mesa Lopez and Diego Leon Castañeda Saldarriaga "Bessel filters applied in biomedical image processing", Proc. SPIE 9112, Sensing Technologies for Global Health, Military Medicine, and Environmental Monitoring IV, 91121M (5 June 2014); https://doi.org/10.1117/12.2049656
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Cited by 1 scholarly publication.
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KEYWORDS
Linear filtering

Image processing

Biomedical optics

Image filtering

Edge detection

Magnetic resonance imaging

Convolution

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