Use of cross-correlation function to detect patient motion during SPECT imaging.
Summary
We developed a new method to detect patient motion during tomographic scans using cross-correlation functions. This provides objective quality control for single photon emission computed tomography (SPECT) scans.
Area of Science:
- Medical Imaging
- Nuclear Medicine
- Image Processing
Background:
- Patient motion during tomographic acquisitions can significantly degrade image quality and diagnostic accuracy.
- Current methods for motion detection, such as cine mode and sinogram display, can be subjective or difficult to interpret.
Purpose of the Study:
- To develop and validate a quantitative, objective method for detecting and quantifying patient motion during tomographic scans.
- To provide an easy-to-interpret hard copy output for quality control.
Main Methods:
- Utilized frame-to-frame cross-correlation functions of summed profiles in vertical and horizontal directions of planar images.
- Analyzed the variation of pixel value changes corresponding to the maximum cross-correlation function at each view.
Main Results:
- The developed procedure provides a quantitative output for assessing motion presence and magnitude.
- The method offers an effective and nonsubjective means for quality control in single photon emission computed tomographic (SPECT) scans.
- Generated easy-to-interpret hard copy output, superior to cine mode and sinogram display.
Conclusions:
- The proposed cross-correlation method is a reliable and objective tool for patient motion detection in SPECT imaging.
- This procedure enhances quality control, ensuring more accurate diagnostic results from tomographic scans.
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