Performance characteristics of the 3-D OSEM algorithm in the reconstruction of small animal PET images
作者： Rutao Yao , J. Seidel , C.A. Johnson , M.E. Daube-Witherspoon , M.V. Green
DOI: 10.1109/42.876305
关键词:
摘要: Rat brain images acquired with a small animal positron emission tomography (PET) camera and reconstructed the three-dimensional (3-D) ordered-subsets expectation-maximization (OSEM) algorithm resolution recovery have better quality when is imaged by itself than inside head surrounding background activity. The purpose of this study was to characterize dependence effect on level activity, attenuation, scatter. Monte Carlo simulations imaging system were performed. coefficient variation from replicate images, full-width at half-maximum (FWHM) point sources image profile fitting, contrast uniformity used evaluate performance. A rat typical levels five ten times activity in requires additional iterations achieve same as brain-only case cost 24% 64% noise, respectively. For phantoms, object scatter reduced 3%-5%. However, attenuation degraded 0.2 mm responsible for up 12% nonuniformity suggesting that correction useful. Given effects distribution both or phantom studies should be each situation select appropriate number OSEM desired resolution-noise levels.
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