Literature DB >> 20815065

Susceptibility mapping as a means to visualize veins and quantify oxygen saturation.

E M Haacke1, J Tang, J Neelavalli, Y C N Cheng.   

Abstract

PURPOSE: To create an orientation-independent, 3D reconstruction of the veins in the brain using susceptibility mapping.
MATERIALS AND METHODS: High-resolution, high-pass filtered phase images usually used for susceptibility weighted imaging (SWI) were used as a source for local magnetic field behavior. These images were subsequently postprocessed using an inverse procedure to generate susceptibility maps of the veins. Regularization and interpolation of the data in k-space of the phase images were used to reduce reconstruction artifacts. To understand the effects of artifacts, and to fine-tune the methodology, simulations of blood vessels were performed with and without noise.
RESULTS: With sufficient resolution, major veins in the brain could be visualized with this approach. The usual geometry-dependent phase dipole effects are removed by this processing, leaving basically images of the veins. Different sized vessels show a different level of contrast depending on their partial volume effects. Vessels that are 8 mm or 16 mm in size show quantitative values expected for normal oxygen saturation levels. Smaller vessels show smaller values due to errors in the methodology and due to partial volume effects. Larger vessels show a bias toward a reduced susceptibility approaching 90% of the expected value. Limitations of the method and artifacts related to different sources of errors are demonstrated.
CONCLUSION: Susceptibility maps can successfully create venograms of the brain with varying levels of contrast-to-noise depending on the size of the vessel. Partial volume effects render this approach more useful as an imaging tool or a visualization tool, although certain larger vessels have measured susceptibilities close to expected values associated with normal blood oxygen saturation levels.

Entities:  

Mesh:

Year:  2010        PMID: 20815065      PMCID: PMC2933933          DOI: 10.1002/jmri.22276

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  15 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.  The role of voxel aspect ratio in determining apparent vascular phase behavior in susceptibility weighted imaging.

Authors:  Yingbiao Xu; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2005-12-27       Impact factor: 2.546

3.  Calculation of susceptibility through multiple orientation sampling (COSMOS): a method for conditioning the inverse problem from measured magnetic field map to susceptibility source image in MRI.

Authors:  Tian Liu; Pascal Spincemaille; Ludovic de Rochefort; Bryan Kressler; Yi Wang
Journal:  Magn Reson Med       Date:  2009-01       Impact factor: 4.668

4.  Identification of breast calcification using magnetic resonance imaging.

Authors:  Ali Fatemi-Ardekani; Colm Boylan; Michael D Noseworthy
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

5.  Complex threshold method for identifying pixels that contain predominantly noise in magnetic resonance images.

Authors:  Daniel S J Pandian; Carlo Ciulla; E Mark Haacke; Jing Jiang; Muhammad Ayaz
Journal:  J Magn Reson Imaging       Date:  2008-09       Impact factor: 4.813

6.  Limitations of calculating field distributions and magnetic susceptibilities in MRI using a Fourier based method.

Authors:  Yu-Chung N Cheng; Jaladhar Neelavalli; E Mark Haacke
Journal:  Phys Med Biol       Date:  2009-01-30       Impact factor: 3.609

7.  Nonlinear regularization for per voxel estimation of magnetic susceptibility distributions from MRI field maps.

Authors:  Bryan Kressler; Ludovic de Rochefort; Tian Liu; Pascal Spincemaille; Quan Jiang; Yi Wang
Journal:  IEEE Trans Med Imaging       Date:  2009-06-05       Impact factor: 10.048

Review 8.  Susceptibility-weighted imaging: clinical angiographic applications.

Authors:  Samuel R S Barnes; E Mark Haacke
Journal:  Magn Reson Imaging Clin N Am       Date:  2009-02       Impact factor: 2.266

9.  Susceptibility contrast in high field MRI of human brain as a function of tissue iron content.

Authors:  Bing Yao; Tie-Qiang Li; Peter van Gelderen; Karin Shmueli; Jacco A de Zwart; Jeff H Duyn
Journal:  Neuroimage       Date:  2008-11-05       Impact factor: 6.556

10.  Removing background phase variations in susceptibility-weighted imaging using a fast, forward-field calculation.

Authors:  Jaladhar Neelavalli; Yu-Chung N Cheng; Jing Jiang; E Mark Haacke
Journal:  J Magn Reson Imaging       Date:  2009-04       Impact factor: 4.813

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  123 in total

1.  Quantitative oxygenation venography from MRI phase.

Authors:  Audrey P Fan; Berkin Bilgic; Louis Gagnon; Thomas Witzel; Himanshu Bhat; Bruce R Rosen; Elfar Adalsteinsson
Journal:  Magn Reson Med       Date:  2013-09-04       Impact factor: 4.668

Review 2.  Susceptibility-based time-resolved whole-organ and regional tissue oximetry.

Authors:  Felix W Wehrli; Audrey P Fan; Zachary B Rodgers; Erin K Englund; Michael C Langham
Journal:  NMR Biomed       Date:  2016-02-26       Impact factor: 4.044

3.  Computation of Magnetic Field Distortions and Impact on T2*-weighted MRI with Application to Magnetic Susceptibility Parameter Estimation.

Authors:  Corey E Cruttenden; Xiao-Hong Zhu; Wei Chen; Rajesh Rajamani
Journal:  Biomed Phys Eng Express       Date:  2018-06-14

4.  Correction and optimization of a T2-based approach to map blood oxygenation in small cerebral veins.

Authors:  Lisa C Krishnamurthy; Deng Mao; Kevin S King; Hanzhang Lu
Journal:  Magn Reson Med       Date:  2015-04-04       Impact factor: 4.668

5.  MR venography of the fetal brain using susceptibility weighted imaging.

Authors:  Jaladhar Neelavalli; Swati Mody; Lami Yeo; Pavan Kumar Jella; Steven J Korzeniewski; Sheena Saleem; Yashwanth Katkuri; Ray O Bahado-Singh; Sonia S Hassan; E Mark Haacke; Roberto Romero; Moriah E Thomason
Journal:  J Magn Reson Imaging       Date:  2013-11-25       Impact factor: 4.813

6.  Wave-CAIPI for highly accelerated 3D imaging.

Authors:  Berkin Bilgic; Borjan A Gagoski; Stephen F Cauley; Audrey P Fan; Jonathan R Polimeni; P Ellen Grant; Lawrence L Wald; Kawin Setsompop
Journal:  Magn Reson Med       Date:  2014-07-01       Impact factor: 4.668

7.  MR vascular fingerprinting: A new approach to compute cerebral blood volume, mean vessel radius, and oxygenation maps in the human brain.

Authors:  T Christen; N A Pannetier; W W Ni; D Qiu; M E Moseley; N Schuff; G Zaharchuk
Journal:  Neuroimage       Date:  2013-12-07       Impact factor: 6.556

8.  Quantitative susceptibility mapping in the human fetus to measure blood oxygenation in the superior sagittal sinus.

Authors:  Brijesh Kumar Yadav; Sagar Buch; Uday Krishnamurthy; Pavan Jella; Edgar Hernandez-Andrade; Anabela Trifan; Lami Yeo; Sonia S Hassan; E Mark Haacke; Roberto Romero; Jaladhar Neelavalli
Journal:  Eur Radiol       Date:  2018-10-01       Impact factor: 5.315

9.  Susceptibility mapping of the dural sinuses and other superficial veins in the brain.

Authors:  Sagar Buch; Yongsheng Chen; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2018-10-21       Impact factor: 2.546

Review 10.  Susceptibility-weighted imaging: current status and future directions.

Authors:  Saifeng Liu; Sagar Buch; Yongsheng Chen; Hyun-Seok Choi; Yongming Dai; Charbel Habib; Jiani Hu; Joon-Yong Jung; Yu Luo; David Utriainen; Meiyun Wang; Dongmei Wu; Shuang Xia; E Mark Haacke
Journal:  NMR Biomed       Date:  2016-05-18       Impact factor: 4.044

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