M. Rao's research while affiliated with University of Florida and other places

Publications (2)

Conference Paper
Presents an attenuation correction method where attenuation images are first segmented and then attenuation density values are assigned to the various regions. A key idea behind the segmentation component of the method is that the attenuation image is viewed as a realization of a system that obeys a hidden Markov model. Some advantages of the segme...
Conference Paper
In this paper, the authors introduce a new iterative algorithm for reconstructing positron emission tomography (PET) images. This algorithm seeks to minimize an objective function of weighted least squares (WLS) type. However, unlike conventional WLS methods, the weights do not need to be estimated from the data, but are incorporated in the objecti...

Citations

... To minimize this effect, long transmission scans are normally acquired to ensure good statistics at the expense of patient comfort especially in the case of whole-body scanning on low-sensitivity partial-ring PET tomographs. During the last decade, techniques based on transmission image segmentation and tissue classification tools have been proposed to minimize the acquisition time (less than 5 min) and increase the accuracy of AC, while still preserving or even reducing the noise level (Anderson et al 1999, Reutte et al 1997, Riddell et al 1999, Yu and Nahmias 1996. Segmentation algorithms must reach equilibrium between the final image quality and computational time. ...
... Anderson et al. demonstrated that the WLS algorithm converges faster than the ML-EM and produces images that have significantly better resolution and contrast. Anderson's algorithm was then improved by Mair et al. [13], they applied an alternating minimization procedure to obtain a new iterative algorithm for obtaining Poisson WLS estimators of the emission in densities. ...