Literature DB >> 25633922

An improved method for susceptibility and radius quantification of cylindrical objects from MRI.

Ching-Yi Hsieh1, Yu-Chung N Cheng2, Jaladhar Neelavalli3, E Mark Haacke3, R Jason Stafford4.   

Abstract

A new method is developed to measure the magnetic susceptibilities and radii of small cylinder-like objects at arbitrary orientations accurately. This method for most biological substances only requires a standard gradient echo sequence with one or two echo times, depending on the orientation of an object relative to the main magnetic field. For objects oriented at the magic angle, however, this method is not applicable. As a byproduct of this method, the cross-sectional area as well as signals inside and outside the object can be determined. The uncertainty of each measurement is estimated from the error propagation method. Partial volume, dephasing, and phase aliasing effects are naturally included in the equations of this method. A number of simulations, phantom, and pilot in-vivo human studies are carried out to validate the theory. When the maximal phase value at the boundary of a given cylindrical object is larger than 3 radians, and the phase inside the object is more than 1 radian, the susceptibility can be accurately quantified within 15%. The radius of the object can be determined to subpixel accuracy. This is the case when the signal-to-noise ratio inside the object is about 6:1 or higher and the radius of the object is about one pixel or larger. These conditions are realistic when considering medullary and pial veins for example.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Magnetic moment; Multi-echo gradient echo; Subpixel; Susceptibility; Vein

Mesh:

Year:  2015        PMID: 25633922      PMCID: PMC4762672          DOI: 10.1016/j.mri.2015.01.004

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  28 in total

1.  Whole-brain susceptibility mapping at high field: a comparison of multiple- and single-orientation methods.

Authors:  Sam Wharton; Richard Bowtell
Journal:  Neuroimage       Date:  2010-07-06       Impact factor: 6.556

2.  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

3.  Quantitative MR susceptibility mapping using piece-wise constant regularized inversion of the magnetic field.

Authors:  Ludovic de Rochefort; Ryan Brown; Martin R Prince; Yi Wang
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

4.  The sign convention for phase values on different vendor systems: definition and implications for susceptibility-weighted imaging.

Authors:  Gisela E Hagberg; E Brian Welch; Andreas Greiser
Journal:  Magn Reson Imaging       Date:  2009-08-21       Impact factor: 2.546

5.  Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: validation and application to brain imaging.

Authors:  Ludovic de Rochefort; Tian Liu; Bryan Kressler; Jing Liu; Pascal Spincemaille; Vincent Lebon; Jianlin Wu; Yi Wang
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

6.  Quantifying effective magnetic moments of narrow cylindrical objects in MRI.

Authors:  Yu-Chung N Cheng; Ching-Yi Hsieh; Jaladhar Neelavalli; E Mark Haacke
Journal:  Phys Med Biol       Date:  2009-11-04       Impact factor: 3.609

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

Authors:  E M Haacke; J Tang; J Neelavalli; Y C N Cheng
Journal:  J Magn Reson Imaging       Date:  2010-09       Impact factor: 4.813

8.  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

9.  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

10.  Accuracy and precision of MR blood oximetry based on the long paramagnetic cylinder approximation of large vessels.

Authors:  Michael C Langham; Jeremy F Magland; Charles L Epstein; Thomas F Floyd; Felix W Wehrli
Journal:  Magn Reson Med       Date:  2009-08       Impact factor: 4.668

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  7 in total

Review 1.  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

2.  Anemia Increases Oxygen Extraction Fraction in Deep Brain Structures but Not in the Cerebral Cortex.

Authors:  Jian Shen; Xin Miao; Chau Vu; Botian Xu; Clio González-Zacarías; Aart J Nederveen; John C Wood
Journal:  Front Physiol       Date:  2022-06-17       Impact factor: 4.755

Review 3.  Cerebral oxygen extraction fraction MRI: Techniques and applications.

Authors:  Dengrong Jiang; Hanzhang Lu
Journal:  Magn Reson Med       Date:  2022-05-05       Impact factor: 3.737

4.  Susceptibility and size quantification of small human veins from an MRI method.

Authors:  Ching-Yi Hsieh; Yu-Chung N Cheng; He Xie; E Mark Haacke; Jaladhar Neelavalli
Journal:  Magn Reson Imaging       Date:  2015-08-03       Impact factor: 2.546

5.  Improved Quantification of Cerebral Vein Oxygenation Using Partial Volume Correction.

Authors:  Phillip G D Ward; Audrey P Fan; Parnesh Raniga; David G Barnes; David L Dowe; Amanda C L Ng; Gary F Egan
Journal:  Front Neurosci       Date:  2017-02-27       Impact factor: 4.677

6.  MRI-Based Quantification of Magnetic Susceptibility in Gel Phantoms: Assessment of Measurement and Calculation Accuracy.

Authors:  Emma Olsson; Ronnie Wirestam; Emelie Lind
Journal:  Radiol Res Pract       Date:  2018-07-30

7.  Quantitative Susceptibility Mapping-Based Microscopy of Magnetic Resonance Venography (QSM-mMRV) for In Vivo Morphologically and Functionally Assessing Cerebromicrovasculature in Rat Stroke Model.

Authors:  Meng-Chi Hsieh; Ching-Yi Tsai; Min-Chiao Liao; Jenq-Lin Yang; Chia-Hao Su; Jyh-Horng Chen
Journal:  PLoS One       Date:  2016-03-14       Impact factor: 3.240

  7 in total

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