Literature DB >> 18222788

Error propagation in eigenimage filtering.

H Soltanian-Zadeh1, J P Windham, J M Jenkins.   

Abstract

Mathematical derivation of error (noise) propagation in eigenimage filtering is presented. Based on the mathematical expressions, a method for decreasing the propagated noise given a sequence of images is suggested. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the final composite image are compared to the SNRs and CNRs of the images in the sequence. The consistency of the assumptions and accuracy of the mathematical expressions are investigated using sequences of simulated and real magnetic resonance (MR) images of an agarose phantom and a human brain.

Entities:  

Year:  1990        PMID： 18222788     DOI： 10.1109/42.61756

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN： 0278-0062            Impact factor:   10.048


  3 in total

1.  Comparison between diffusion-weighted imaging, T2-weighted, and postcontrast T1-weighted imaging after MR-guided, high intensity, focused ultrasound treatment of uterine leiomyomata: preliminary results.

Authors:  Michael A Jacobs; David H Gultekin; Hyun S Kim
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

2.  Multiparametric iterative self-organizing MR imaging data analysis technique for assessment of tissue viability in acute cerebral ischemia.

Authors:  Panayiotis D Mitsias; James R Ewing; Mei Lu; Mohammed M Khalighi; Mamatha Pasnoor; Hassan B Ebadian; Qingming Zhao; Sunitha Santhakumar; Michael A Jacobs; Nikolaos Papamitsakis; Hamid Soltanian-Zadeh; David Hearshen; Suresh C Patel; Michael Chopp
Journal:  AJNR Am J Neuroradiol       Date:  2004-10       Impact factor: 3.825

3.  Integrated radiomic framework for breast cancer and tumor biology using advanced machine learning and multiparametric MRI.

Authors:  Vishwa S Parekh; Michael A Jacobs
Journal:  NPJ Breast Cancer       Date:  2017-11-14
  3 in total

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