SPECT Image Processing: MATLAB as an Image Processing Tool for Nuclear Medicine

Authors

Rachel Flores, University of the Pacific
Chase Crimmins, University of the Pacific

Poster Number

32

Lead Author Major

Bioengineering

Format

Poster Presentation

Faculty Mentor Name

Huihui Xu

Faculty Mentor Department

Bioengineering

Abstract/Artist Statement

Nuclear medicine is an important mode of imaging due to its diagnostic capabilities. While obtaining nuclear medicine images, there are physical factors such as Compton scattering as well as system limitations such as the spatial resolution of the gamma camera that affect the image quality. The lowering of the image quality makes it more difficult for radiologists to analyze the images and can affect the overall diagnosis and well-being of the patient. Image processing is a very important step in evaluating nuclear medicine images because it can help correct or compensate for this low image quality. There are many ways to do this, one of which uses the program MathWorks Matrix Laboratory (MATLAB). By using MATLAB, one can better study, understand, and use information from nuclear medicine images by investigating regional properties, analyzing image boundaries and curvature, filtering out noise from the image, and resizing the image. In this project, we will go through the use of MATLAB to contour, interpolate, filter, segment, and remove background of a Single Photon Emission Computed Tomography (SPECT) image of a sagittal slice of mice lungs.

Location

DeRosa University Center, Ballroom

Start Date

30-4-2016 10:00 AM

End Date

30-4-2016 12:00 PM