Literature DB >> 23744694

Comparison of multiecho postprocessing schemes for SWI with use of linear and nonlinear mask functions.

M P Quinn1, J S Gati, L M Klassen, A W Lin, J R Bird, S E Leung, R S Menon.   

Abstract

BACKGROUND AND
PURPOSE: SWI is an MR technique conventionally implemented with single-echo gradient-echo data. The purpose of this study was to compare single-echo SWI processing and 2 multiecho SWI processing schemes: postaverage, where an SWI image is created for each echo and then averaged to create a single volume; and frequency-based, where a SWI image is generated from an average frequency image. Linear and nonlinear mask functions were investigated for all 3 processing schemes.
MATERIALS AND METHODS: Comprehensive optimizations were performed. Single and multigradient-echo data were acquired at 3T in 10 volunteers. Contrast-to-noise ratio was measured in various structures. Visibilities of the same structures were ranked in different SWI images by trained raters.
RESULTS: When image evaluation was based on measurements of contrast-to-noise ratio, the nonlinear mask and frequency-based scheme were superior. However, when image evaluation was based on ranks of qualitative visibility, the linear mask and postaverage scheme were superior. Although the nonlinear mask and frequency-based scheme allow increased contrast of paramagnetic perturbers such as the globus pallidus, periventricular veins, red nucleus, and subthalamic nucleus, they do not necessarily increase the information content of the image; rather, they result in a harsh contrast that is visually unpleasing to radiologists and wherein more subtle structure is relatively less apparent.
CONCLUSIONS: Linearly masked postaverage SWI is the recommended implementation of multiecho SWI for radiologic use; however, nonlinearly masked frequency-based SWI may have use in computer-based segmentation or registration.

Mesh:

Year:  2013        PMID: 23744694      PMCID: PMC7966483          DOI: 10.3174/ajnr.A3584

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  12 in total

1.  Susceptibility weighted imaging (SWI).

Authors:  E Mark Haacke; Yingbiao Xu; Yu-Chung N Cheng; Jürgen R Reichenbach
Journal:  Magn Reson Med       Date:  2004-09       Impact factor: 4.668

2.  A new automatic phase mask filter for high-resolution brain venography at 3 T: theoretical background and experimental validation.

Authors:  Sergio Casciaro; Roberto Bianco; Roberto Franchini; Ernesto Casciaro; Francesco Conversano
Journal:  Magn Reson Imaging       Date:  2010-02-01       Impact factor: 2.546

3.  Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses.

Authors:  Vivek Sehgal; Zachary Delproposto; Djamel Haddar; E Mark Haacke; Andrew E Sloan; Lucia J Zamorano; Geoffery Barger; Jiani Hu; Yingbiao Xu; Karthik Praveen Prabhakaran; Ilaya R Elangovan; Jaladhar Neelavalli; Jürgen R Reichenbach
Journal:  J Magn Reson Imaging       Date:  2006-07       Impact factor: 4.813

4.  Advantages of using multiple-echo image combination and asymmetric triangular phase masking in magnetic resonance venography at 3 T.

Authors:  Valentina Brainovich; Umberto Sabatini; Gisela E Hagberg
Journal:  Magn Reson Imaging       Date:  2008-07-03       Impact factor: 2.546

5.  Susceptibility weighted imaging with multiple echoes.

Authors:  Christian Denk; Alexander Rauscher
Journal:  J Magn Reson Imaging       Date:  2010-01       Impact factor: 4.813

6.  Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent.

Authors:  J R Reichenbach; R Venkatesan; D J Schillinger; D K Kido; E M Haacke
Journal:  Radiology       Date:  1997-07       Impact factor: 11.105

7.  Identification of calcification with MRI using susceptibility-weighted imaging: a case study.

Authors:  Zhen Wu; Sandeep Mittal; Karl Kish; Yingjian Yu; J Hu; E Mark Haacke
Journal:  J Magn Reson Imaging       Date:  2009-01       Impact factor: 4.813

Review 8.  Susceptibility-weighted imaging: technical aspects and clinical applications, part 1.

Authors:  E M Haacke; S Mittal; Z Wu; J Neelavalli; Y-C N Cheng
Journal:  AJNR Am J Neuroradiol       Date:  2008-11-27       Impact factor: 3.825

9.  Characterizing iron deposition in multiple sclerosis lesions using susceptibility weighted imaging.

Authors:  E Mark Haacke; Malek Makki; Yulin Ge; Megha Maheshwari; Vivek Sehgal; Jiani Hu; Madeswaran Selvan; Zhen Wu; Zahid Latif; Yang Xuan; Omar Khan; James Garbern; Robert I Grossman
Journal:  J Magn Reson Imaging       Date:  2009-03       Impact factor: 4.813

10.  Ultra-high-field imaging distinguishes MS lesions from asymptomatic white matter lesions.

Authors:  E C Tallantyre; J E Dixon; I Donaldson; T Owens; P S Morgan; P G Morris; N Evangelou
Journal:  Neurology       Date:  2011-02-08       Impact factor: 9.910

View more
  5 in total

1.  Quantitative susceptibility mapping of the head-and-neck using SMURF fat-water imaging with chemical shift and relaxation rate corrections.

Authors:  Beata Bachrata; Siegfried Trattnig; Simon Daniel Robinson
Journal:  Magn Reson Med       Date:  2021-11-30       Impact factor: 4.668

2.  Venocentric Lesions: An MRI Marker of MS?

Authors:  Matthew P Quinn; Marcelo Kremenchutzky; Ravi S Menon
Journal:  Front Neurol       Date:  2013-07-22       Impact factor: 4.003

3.  Imaging of reperfused intramyocardial hemorrhage with cardiovascular magnetic resonance susceptibility weighted imaging (SWI).

Authors:  James W Goldfarb; Usama Hasan
Journal:  PLoS One       Date:  2015-04-13       Impact factor: 3.240

4.  Improved susceptibility weighted imaging at ultra-high field using bipolar multi-echo acquisition and optimized image processing: CLEAR-SWI.

Authors:  Korbinian Eckstein; Beata Bachrata; Gilbert Hangel; Georg Widhalm; Christian Enzinger; Markus Barth; Siegfried Trattnig; Simon Daniel Robinson
Journal:  Neuroimage       Date:  2021-05-15       Impact factor: 7.400

5.  A Comparison Study of Single-Echo Susceptibility Weighted Imaging and Combined Multi-Echo Susceptibility Weighted Imaging in Visualizing Asymmetric Medullary Veins in Stroke Patients.

Authors:  Chao Wang; Tiantian Qiu; Ruirui Song; Yerfan Jiaerken; Linglin Yang; Shaoze Wang; Minming Zhang; Xinfeng Yu
Journal:  PLoS One       Date:  2016-08-05       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.