Literature DB >> 10784285

New variants of a method of MRI scale standardization.

L G Nyúl, J K Udupa, X Zhang.   

Abstract

One of the major drawbacks of magnetic resonance imaging (MRI) has been the lack of a standard and quantifiable interpretation of image intensities. Unlike in other modalities, such as X-ray computerized tomography, MR images taken for the same patient on the same scanner at different times may appear different from each other due to a variety of scanner-dependent variations and, therefore, the absolute intensity values do not have a fixed meaning. We have devised a two-step method wherein all images (independent of patients and the specific brand of the MR scanner used) can be transformed in such a way that for the same protocol and body region, in the transformed images similar intensities will have similar tissue meaning. Standardized images can be displayed with fixed windows without the need of per-case adjustment. More importantly, extraction of quantitative information about healthy organs or about abnormalities can be considerably simplified. This paper introduces and compares new variants of this standardizing method that can help to overcome some of the problems with the original method.

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Year:  2000        PMID: 10784285     DOI: 10.1109/42.836373

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


  186 in total

1.  Estimation of tumor volume with fuzzy-connectedness segmentation of MR images.

Authors:  Gul Moonis; Jianguo Liu; Jayaram K Udupa; David B Hackney
Journal:  AJNR Am J Neuroradiol       Date:  2002-03       Impact factor: 3.825

2.  Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters.

Authors:  Yu Shimizu; Akira Amano; Tetsuya Matsuda
Journal:  Int J Cardiovasc Imaging       Date:  2010-06-08       Impact factor: 2.357

3.  Brain Cancer Imaging Phenomics Toolkit (brain-CaPTk): An Interactive Platform for Quantitative Analysis of Glioblastoma.

Authors:  Saima Rathore; Spyridon Bakas; Sarthak Pati; Hamed Akbari; Ratheesh Kalarot; Patmaa Sridharan; Martin Rozycki; Mark Bergman; Birkan Tunc; Ragini Verma; Michel Bilello; Christos Davatzikos
Journal:  Brainlesion       Date:  2018-02-17

4.  Implementation of high-dimensional feature map for segmentation of MR images.

Authors:  Renjie He; Balasrinivasa Rao Sajja; Ponnada A Narayana
Journal:  Ann Biomed Eng       Date:  2005-10       Impact factor: 3.934

5.  Segmentation and quantification of black holes in multiple sclerosis.

Authors:  Sushmita Datta; Balasrinivasa Rao Sajja; Renjie He; Jerry S Wolinsky; Rakesh K Gupta; Ponnada A Narayana
Journal:  Neuroimage       Date:  2005-08-26       Impact factor: 6.556

6.  Automated template-based brain localization and extraction for fetal brain MRI reconstruction.

Authors:  Sébastien Tourbier; Clemente Velasco-Annis; Vahid Taimouri; Patric Hagmann; Reto Meuli; Simon K Warfield; Meritxell Bach Cuadra; Ali Gholipour
Journal:  Neuroimage       Date:  2017-04-11       Impact factor: 6.556

7.  Segmentation of Gliomas in Pre-operative and Post-operative Multimodal Magnetic Resonance Imaging Volumes Based on a Hybrid Generative-Discriminative Framework.

Authors:  Ke Zeng; Spyridon Bakas; Aristeidis Sotiras; Hamed Akbari; Martin Rozycki; Saima Rathore; Sarthak Pati; Christos Davatzikos
Journal:  Brainlesion       Date:  2017-04-12

8.  Adaptive prior probability and spatial temporal intensity change estimation for segmentation of the one-year-old human brain.

Authors:  Sun Hyung Kim; Vladimir S Fonov; Cheryl Dietrich; Clement Vachet; Heather C Hazlett; Rachel G Smith; Michael M Graves; Joseph Piven; John H Gilmore; Stephen R Dager; Robert C McKinstry; Sarah Paterson; Alan C Evans; D Louis Collins; Guido Gerig; Martin Andreas Styner
Journal:  J Neurosci Methods       Date:  2012-09-29       Impact factor: 2.390

9.  Deep Learning and Texture-Based Semantic Label Fusion for Brain Tumor Segmentation.

Authors:  L Vidyaratne; M Alam; Z Shboul; K M Iftekharuddin
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-27

10.  Quantitative Evaluation of Treatment Related Changes on Multi-Parametric MRI after Laser Interstitial Thermal Therapy of Prostate Cancer.

Authors:  Satish Viswanath; Robert Toth; Mirabela Rusu; Dan Sperling; Herbert Lepor; Jurgen Futterer; Anant Madabhushi
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-15
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