Developments with maximum likelihood X-ray computed tomography

An approach to the maximum-likelihood estimation of attenuation coefficients in transmission tomography is presented as an extension of earlier theoretical work by K. Lange and R. Carson (J. Comput. Assist. Tomography, vol.8, p.306-16, 1984). The reconstruction algorithm is based on the expectation-maximization (EM) algorithm. Several simplifying approximations are introduced which make the maximization step of the algorithm available. Computer simulations are presented using noise-free and Poisson randomized projections. The images obtained with the EM-type method are compared to those reconstructed with the EM method of Lange and Carson and with filtered backprojection. Preliminary results show that there are potential advantages in using the maximum likelihood approaches in situations where a high-contrast object, such as bone, is embedded in low-contrast soft tissue.

[1]  Albert Macovski,et al.  A Maximum Likelihood Approach to Emission Image Reconstruction from Projections , 1976, IEEE Transactions on Nuclear Science.

[2]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[3]  L. J. Thomas,et al.  Noise and Edge Artifacts in Maximum-Likelihood Reconstructions for Emission Tomography , 1987, IEEE Transactions on Medical Imaging.

[4]  M. Miller,et al.  An evaluation of maximum likelihood reconstruction for SPECT. , 1990, IEEE transactions on medical imaging.

[5]  Donald L. Snyder,et al.  Image Reconstruction from List-Mode Data in an Emission Tomography System Having Time-of-Flight Measurements , 1983, IEEE Transactions on Nuclear Science.

[6]  M. Miller,et al.  Maximum-Likelihood Reconstruction for Single-Photon Emission Computed-Tomography , 1985, IEEE Transactions on Nuclear Science.

[7]  Chin-Tu Chen,et al.  Maximum Likelihood Reconstruction in PET and TOFPET , 1988 .

[8]  K. Lange,et al.  EM reconstruction algorithms for emission and transmission tomography. , 1984, Journal of computer assisted tomography.

[9]  L. Shepp,et al.  Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.

[10]  T. Schulz,et al.  High-resolution imaging at low-light levels through weak turbulence , 1990 .

[11]  Robert M. Lewitt,et al.  Accelerated Iterative Reconstruction for Positron Emission Tomography Based on the EM Algorithm for Maximum Likelihood Estimation , 1986, IEEE Transactions on Medical Imaging.

[12]  T. Holmes Expectation-maximization restoration of band-limited, truncated point-process intensities with application in microscopy , 1989 .

[13]  Timothy J. Holmes Maximum-likelihood image restoration adapted for noncoherent optical imaging , 1988 .

[14]  K. Lange,et al.  A Theoretical Study of Some Maximum Likelihood Algorithms for Emission and Transmission Tomography , 1987, IEEE Transactions on Medical Imaging.

[15]  T. Holmes,et al.  Acceleration of Maximum-Likelihood Image-Restoration for Fluorescence Microscopy and Other Noncoherent Imagery , 1991, Quantum Limited Imaging and Information Processing.

[16]  K. Lange Convergence of EM image reconstruction algorithms with Gibbs smoothing. , 1990, IEEE transactions on medical imaging.

[17]  Linda Kaufman,et al.  Implementing and Accelerating the EM Algorithm for Positron Emission Tomography , 1987, IEEE Transactions on Medical Imaging.