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3D image reconstruction for PET by multi-slice rebinning and axial filtering

Conference ·
 [1];  [1];  [2]
  1. UGM Medical Systems, Inc., Philadelphia, PA (United States)
  2. Pennsylvania Univ., Philadelphia, PA (United States). Dept. of Radiology
Two different approaches are used at present to reconstruct from 3D coincidence data in PET. We refer to these approaches as the single-slice rebinning approach and the fully-3D approach. The single-slice rebinning approach involves geometrical approximations, but it requires the least possible amount of computation. Fully-3D reconstruction algorithms, both iterative and non-iterative, do not make such approximations, but require much more computation. Multi-slice rebinning with axial filtering is a new approach which attempts to achieve the geometrical accuracy of the fully-3D approach with the simplicity and modest amount of computation of the single-slice rebinning approach. The first step (multi-slice rebinning) involves rebinning of coincidence lines into a stack of 2D sinograms, where multiple sinograms are incremented for each oblique coincidence line. This operation is followed by an axial filtering operation, either before or after slice-by-slice reconstruction, to reduce the blurring in the axial direction. Tests with simulated and experimental data indicate that the new method has better geometrical accuracy than single-slice rebinning, at the cost of only a modest increase in computation. 11 refs.
Research Organization:
UGM Medical Systems, Inc., Philadelphia, PA (United States); Pennsylvania Univ., Philadelphia, PA (United States). Dept. of Radiology
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
FG02-88ER60642
OSTI ID:
10107267
Report Number(s):
CONF-911106--33; ON: DE92003943; CNN: Grant CA54356; Grant HL2438; Grant CA52342
Country of Publication:
United States
Language:
English