Literature DB >> 19123210

Trading off SNR and resolution in MR images.

Shoan C Kale1, X Josette Chen, R Mark Henkelman.   

Abstract

With a fixed time to acquire a magnetic resonance (MR) image, time can be spent to acquire better spatial resolution with decrease in signal-to-noise ratio (SNR) or decreased resolution with increase in SNR. This resolution/SNR tradeoff at fixed time has been investigated by a visual rater study using images of ex vivo mouse brains. Simulated images with a tradeoff between SNR and resolution were produced from high-quality, 3D isotropic mouse brain images to emulate shorter constant acquisition times. The tradeoff images spanned a range of SNRs (63-6) and isotropic resolutions (32-81 microm). Fourteen readers identified the image which best displayed neuroanatomy. Additional experiments tested for (i) intra-observer consistency, (ii) the effect of emulated scan time, and (iii) specifically biased questions pertaining to the perception of neuroanatomy. Optimal anatomical viewing depended primarily on the SNR of the images. Specifically, for fixed imaging time, preference lay in the SNR range of approximately 30-35 with strong consistency and there was minimal effect from overall imaging time. 2008 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 19123210     DOI: 10.1002/nbm.1359

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  9 in total

1.  Tumor T2 signal intensity and stalk angulation correlates with endocrine status in pituitary adenoma patients: a quantitative 7 tesla MRI study.

Authors:  John W Rutland; Puneet Pawha; Puneet Belani; Bradley N Delman; Corey M Gill; Teresa Brown; Khadeen Cheesman; Raj K Shrivastava; Priti Balchandani
Journal:  Neuroradiology       Date:  2020-01-10       Impact factor: 2.804

2.  Quantitative analysis of spatial averaging effect on chemical shift imaging SNR and noise coherence with k-space sampling schemes.

Authors:  Byeong-Yeul Lee; Xiao-Hong Zhu; Wei Chen
Journal:  Magn Reson Imaging       Date:  2019-03-31       Impact factor: 2.546

3.  Image-Quality Assessment of 3D Intracranial Vessel Wall MRI Using DANTE or DANTE-CAIPI for Blood Suppression and Imaging Acceleration.

Authors:  B Sannananja; C Zhu; C G Colip; A Somasundaram; M Ibrahim; T Khrisat; M Mossa-Basha
Journal:  AJNR Am J Neuroradiol       Date:  2022-05-26       Impact factor: 4.966

4.  Low-Rank Tensor Models for Improved Multi-Dimensional MRI: Application to Dynamic Cardiac T 1 Mapping.

Authors:  Burhaneddin Yaman; Sebastian Weingärtner; Nikolaos Kargas; Nicholas D Sidiropoulos; Mehmet Akçakaya
Journal:  IEEE Trans Comput Imaging       Date:  2019-09-12

5.  Joint B0 and image estimation integrated with model based reconstruction for field map update and distortion correction in prostate diffusion MRI.

Authors:  Muhammad Usman; Lebina Kakkar; Antonis Matakos; Alex Kirkham; Simon Arridge; David Atkinson
Journal:  Magn Reson Imaging       Date:  2019-10-23       Impact factor: 2.546

6.  The EM Method in a Probabilistic Wavelet-Based MRI Denoising.

Authors:  Marcos Martin-Fernandez; Sergio Villullas
Journal:  Comput Math Methods Med       Date:  2015-05-18       Impact factor: 2.238

7.  Primary central nervous system lymphoma: is absence of intratumoral hemorrhage a characteristic finding on MRI?

Authors:  Akihiko Sakata; Tomohisa Okada; Akira Yamamoto; Mitsunori Kanagaki; Yasutaka Fushimi; Toshiki Dodo; Yoshiki Arakawa; Jun C Takahashi; Susumu Miyamoto; Kaori Togashi
Journal:  Radiol Oncol       Date:  2015-03-25       Impact factor: 2.991

8.  Model-based reconstruction framework for correction of signal pile-up and geometric distortions in prostate diffusion MRI.

Authors:  Muhammad Usman; Lebina Kakkar; Alex Kirkham; Simon Arridge; David Atkinson
Journal:  Magn Reson Med       Date:  2018-11-04       Impact factor: 4.668

9.  An Efficient Multi-Scale Convolutional Neural Network Based Multi-Class Brain MRI Classification for SaMD.

Authors:  Syed Ali Yazdan; Rashid Ahmad; Naeem Iqbal; Atif Rizwan; Anam Nawaz Khan; Do-Hyeun Kim
Journal:  Tomography       Date:  2022-07-26
  9 in total

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