M. Fuderer, \The information content of MR images," IEEE Trans. Med. Imaging, Vol. 7, No. 4, pp. 368-380, 1988. Home/Search Document Not in Database Summary Related Articles Check |
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Stochastic Model Based Image Analysis - Wang, Adali (2000) (Correct)
....[18] and ultrasound scan [19] there has been little work carried out on MR imaging statistics and model based MR image analysis. For example, reference [20] discusses noise sources and their e ects in MR imaging, reference [21] presents a uni ed SNR analysis of medical imaging systems, reference [22] applies information theory to the quality evaluation of MR imaging, and reference [24] compares several currently used statistical algorithms in MR imaging. However, none of these researchers provide a complete statistical 2 analysis that can incorporate MR imaging statistics into MR image ....
....currently used statistical algorithms in MR imaging. However, none of these researchers provide a complete statistical 2 analysis that can incorporate MR imaging statistics into MR image modeling by justifying the many heuristic assumptions typically made in the literature (e.g. see reference [22]) In this section, we present a full investigation of the stochastic aspects of MR imaging and discuss its applications in MR image modeling. A complete statistical description of MR imaging, including the imaging equation and the random eld theory, is provided. Both object variability and ....
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M. Fuderer, \The information content of MR images," IEEE Trans. Med. Imaging, Vol. 7, No. 4, pp. 368-380, 1988.
Quantification and Segmentation of Brain Tissues from MR Images: .. - Yue Wang (1998) (1 citation) (Correct)
.... order to validate the use of a suitable stochastic model for MR image analysis with a specified objective, we have studied MR imaging statistics and observed several useful statistical properties of MR images [16] 19] These results are strongly supported by the analysis of actual MR image data [20]. In particular, based on the statistical properties of MR pixel images, where pixel image is defined as the observed gray level associated with the pixel, use of a SFNM distribution is justified to model the image histogram, and it is shown that the SFNM model converges to the true distribution ....
M. Fuderer, "The information content of MR images," IEEE Trans. Med. Imaging, Vol. 7, No. 4, pp. 368-380, 1988.
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