摘要:
A method for performing accurate iterative reconstruction of image data sets based on Approximate Discrete Radon Transformation (ADRT). ADRT and its inverse are implemented to provide exactly matched forward and backward projectors suitable for the Maximum-Likelihood Expectation-Maximization (ML-EM) reconstruction in PET. A 2D EM reconstruction algorithm is accomplished by initializing an estimation image. A back projection of the projection weights is then formed. A loop is begun with a controlled number of iterations. The estimated image is then forward projected using linogram coordinates. A correction ratio linogram is formed and correction factors are back projected. A normalization factor is then applied. This 2D EM method is extendable into 3D reconstructions using 3D PET lines of response. Forward projection is performed on planes extracted from the image voxels. Back projection is also performed in 2D planes, which are subsequently added into the 3D array with the correct orientations.
摘要:
Apparatus and methods for simulating a sheet source with a line source for determining normalization coefficients for the detectors in positron emission tomography (PET) scanners and single photon emission computed tomography (SPECT) scanners. A line source, oriented perpendicular to the axis of a scanner gantry, is moved along the axis while the detectors are stationary and positioned substantially parallel to the plane in which the source moves. In another embodiment, an axially mounted line source moves parallel to a diameter of the gantry while the stationary detectors are positioned substantially parallel to the plane in which the source moves. In still another embodiment, the line source is stationary and positioned parallel to the gantry axis and off center while the detectors move relative to the line source. A shaped attenuator is placed around the source in this last embodiment.
摘要:
A normalization apparatus and method for a PET scanner with panel detectors for obtaining an estimate of a normalization array, for correction for count rate effects on the normalization array, and for measurement of the relation between the normalization array and the count rate. The method of the present invention is based on two quasi-independent radial and axial components, which are count rate dependent due to sensitivity changes across the detector blocks. A scatter source is disposed at the center of the FOV and a scatter-free source is disposed at the outer edge of the FOV. The method computes the normalization array through several steps which evaluate the geometric profile, the axial profile, and the correction factor. A count rate correction is introduced to extend the normalization array to any count rate.