Detection and Evaluation of Patient Motion in Myocardial Spect Imaging Using Modeling of Projections by Polynomial Curves and 2d Curve Fitting
نویسندگان
چکیده
Patient motion during myocardial SPECT profusion imaging may result in the formation of artifacts in the reconstructed images. This study attempts to present a method on the basis of modeling image frames through optimum-degree polynomial curves and fitting 2D curves to detect and correct heart motion at pixel and subpixel accuracy. To evaluate our method, NCAT phantom was shifted during data acquisition. Maximum count profile of the heart wall was compared before and after motion correction with that of the motion-free state. This method enables the correction of artifacts formed during motion, preventing the misinterpretation of the results caused by these artifacts.
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Background and purpose: Patient motion during myocardial perfusion SPECT can produce artifacts in reconstructed images which might affect clinical diagnosis. This paper attempts to present a new approach for the detection and correction of cardiac motion utilizing the data obtained during the imaging process. Materials and methods: Our method quantifies motion through polynomial curves modelin...
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