ArticleMedical physics2026
Estimation and correction of respiratory motion in pediatric renal SPECT through a data-driven center-of-mass method.
Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundRespiratory motion is known to cause blurring in Single-Photon Emission Computed Tomography (SPECT) images which can mask or mimic disease. Pediatric imaging with PURPOSE: The purpose of this study was to assess a data-driven method to estimate respiratory motion signals in pediatric
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resultsRenal respiratory motion surrogate signals were estimated for 69 patients, after eight were removed due to gross body motion. Axial, lateral and anterior-posterior translational renal respiratory motion amplitudes were all found to positively correlate with patient weight, with lateral motion showing the strongest correlation. Respiratory motion was largest in the axial direction where it ranged from (2.19
conclusionsA data-driven respiratory motion estimation method found significant positive correlation in renal motion amplitudes and weight for pediatric DMSA SPECT studies. The derived respiratory signals were used to perform rigid-body respiratory motion correction during reconstruction. The renal respiratory motion correction reduced cortical blurring and improved contrast in some patients, generally those with the largest estimated motion, highlighting potential for this method to improve diagnostic accuracy.
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