Literature DB >> 2002111

Contrast, resolution, and detectability in MR imaging.

R T Constable1, R M Henkelman.   

Abstract

With the introduction of fast scan techniques and high field imagers, the ability to achieve very high resolution MR images in reasonable imaging times is now possible. Increased resolution allows for better detection of small, high contrast pathological features, but at some cost. Increasing resolution leads to a nonrecoverable decrease in signal-to-noise ratio per pixel and a loss of low contrast detectability for constant imaging time. This article examines the tradeoffs between image resolution, signal-to-noise ratio, and low contrast detectability in MR imaging. Contrast detail curves are presented for images collected in a constant imaging time, with constant field of view and bandwidth but at different resolutions, and these are compared with theoretical curves. The problem of measuring contrast levels in magnitude images, with different resolutions and receiver attenuation values, is discussed and a definition that accommodates these parameters developed. In addition, a clinical example is shown demonstrating a decrease in soft tissue differentiation with increasing resolution, again for fixed imaging time. The results indicate that moving to high resolution imaging matrices requires consideration be given to the sacrifice in low contrast detectability that occurs. Most importantly, it is shown that filtering a high resolution image to a lower resolution image, through nearest neighbor averaging, does not regain the detectability lost in initially collecting the high resolution image.

Entities:  

Mesh:

Year:  1991        PMID: 2002111     DOI: 10.1097/00004728-199103000-00021

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  12 in total

1.  Optimization of a contrast-detail-based method for electronic image display quality evaluation.

Authors:  N J Hangiandreou; K A Fetterly; J P Felmlee
Journal:  J Digit Imaging       Date:  1999-05       Impact factor: 4.056

2.  Characterizing accuracy of total hemoglobin recovery using contrast-detail analysis in 3D image-guided near infrared spectroscopy with the boundary element method.

Authors:  Hamid R Ghadyani; Subhadra Srinivasan; Brian W Pogue; Keith D Paulsen
Journal:  Opt Express       Date:  2010-07-19       Impact factor: 3.894

3.  Enhancing gray-to-white matter contrast in 3T T1 spin-echo brain scans by optimizing flip angle.

Authors:  Bernd L Schmitz; Georg Grön; Florian Brausewetter; Martin H K Hoffmann; Andrik J Aschoff
Journal:  AJNR Am J Neuroradiol       Date:  2005-09       Impact factor: 3.825

4.  Optimization of the SNR-resolution tradeoff for registration of magnetic resonance images.

Authors:  Shoan C Kale; Jason P Lerch; R Mark Henkelman; X Josette Chen
Journal:  Hum Brain Mapp       Date:  2008-10       Impact factor: 5.038

5.  Quantitative evaluation of overall electronic display quality.

Authors:  N J Hangiandreou; K A Fetterly; S N Bernatz; L J Cesar; D S Groth; J P Felmlee
Journal:  J Digit Imaging       Date:  1998-08       Impact factor: 4.056

6.  Voxelwise computed diffusion-weighted imaging for the detection of cytotoxic oedema in brain imaging: a pilot study.

Authors:  Ferdinand Seith; Holger Schmidt; Konstantin Nikolaou; Ulrike Ernemann; Georg Bier
Journal:  Neuroradiol J       Date:  2018-07-17

7.  Sparsity and low-contrast object detectability.

Authors:  Joshua D Trzasko; Zhonghao Bao; Armando Manduca; Kiaran P McGee; Matt A Bernstein
Journal:  Magn Reson Med       Date:  2011-08-25       Impact factor: 4.668

8.  Quantification of image contrast of infarcts on computed tomography scans.

Authors:  R S Gomolka; R M Chrzan; A Urbanik; R Kazmierski; A D Grzanka; W L Nowinski
Journal:  Neuroradiol J       Date:  2017-01-06

9.  Gray matter-white matter contrast on spin-echo T1-weighted images at 3 T and 1.5 T: a quantitative comparison study.

Authors:  Yasutaka Fushimi; Yukio Miki; Shin-Ichi Urayama; Tsutomu Okada; Nobuyuki Mori; Takashi Hanakawa; Hidenao Fukuyama; Kaori Togashi
Journal:  Eur Radiol       Date:  2007-07-07       Impact factor: 5.315

10.  Comparison of amyloid plaque contrast generated by T2-weighted, T2*-weighted, and susceptibility-weighted imaging methods in transgenic mouse models of Alzheimer's disease.

Authors:  Ryan Chamberlain; Denise Reyes; Geoffrey L Curran; Malgorzata Marjanska; Thomas M Wengenack; Joseph F Poduslo; Michael Garwood; Clifford R Jack
Journal:  Magn Reson Med       Date:  2009-05       Impact factor: 4.668

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