Literature DB >> 2067394

Quantitative measurement of tissue perfusion and diffusion in vivo.

T L Chenevert1, J G Pipe, D M Williams, J A Brunberg.   

Abstract

Magnetic resonance imaging techniques designed for sensitivity to microscopic motions of water diffusion and blood flow in the capillary network are also exceptionally sensitive to bulk motion properties of the tissue, which may lead to contrast artifact and large quantitative errors. The magnitude of bulk motion error that exists in human brain perfusion/diffusion imaging and the inability of cardiac gating to adequately control this motion are demonstrated by direct measurement of phase stability of voxels localized in the brain. Two methods are introduced to reduce bulk motion phase error. The first, a postprocessing phase correction algorithm, reduces coarse phase error but is inadequate by itself for quantitative perfusion/diffusion MRI. The second method employs orthogonal slice selection gradients to define a column of tissue in the object, from which echoes may be combined in a phase-insensitive manner to measure more reliably the targeted signal attenuation. Applying this acquisition technique and a simplistic model of perfusion and diffusion signal attenuations yields an estimated perfusion fraction of 3.4 +/- 1.1% and diffusion coefficient of 1.1 +/- 0.2 x 10(-5) cm2/s in the white matter of one normal volunteer. Successful separation of perfusion and diffusion effects by this technique is supported in a dynamic study of calf muscle. Periods of normal blood flow, low flow, and reactive hyperemia are clearly distinguished in the quantitative perfusion results, whereas measured diffusion remained nearly constant.

Entities:  

Mesh:

Year:  1991        PMID: 2067394     DOI: 10.1002/mrm.1910170123

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  6 in total

1.  Pulsatile brain movement and associated hydrodynamics studied by magnetic resonance phase imaging. The Monro-Kellie doctrine revisited.

Authors:  D Greitz; R Wirestam; A Franck; B Nordell; C Thomsen; F Ståhlberg
Journal:  Neuroradiology       Date:  1992       Impact factor: 2.804

Review 2.  Superparamagnetic iron oxide nanoparticles: diagnostic magnetic resonance imaging and potential therapeutic applications in neurooncology and central nervous system inflammatory pathologies, a review.

Authors:  Jason S Weinstein; Csanad G Varallyay; Edit Dosa; Seymur Gahramanov; Bronwyn Hamilton; William D Rooney; Leslie L Muldoon; Edward A Neuwelt
Journal:  J Cereb Blood Flow Metab       Date:  2009-09-16       Impact factor: 6.200

Review 3.  Diffusion imaging of brain tumors.

Authors:  Stephan E Maier; Yanping Sun; Robert V Mulkern
Journal:  NMR Biomed       Date:  2010-08       Impact factor: 4.044

4.  Intravoxel incoherent motion MR imaging for prostate cancer: an evaluation of perfusion fraction and diffusion coefficient derived from different b-value combinations.

Authors:  Yuxi Pang; Baris Turkbey; Marcelino Bernardo; Jochen Kruecker; Samuel Kadoury; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke
Journal:  Magn Reson Med       Date:  2012-04-09       Impact factor: 4.668

5.  Estimation of optimal b-value sets for obtaining apparent diffusion coefficient free from perfusion in non-small cell lung cancer.

Authors:  Kishor Karki; Geoffrey D Hugo; John C Ford; Kathryn M Olsen; Siddharth Saraiya; Robert Groves; Elisabeth Weiss
Journal:  Phys Med Biol       Date:  2015-09-25       Impact factor: 3.609

6.  Probing in vivo cortical myeloarchitecture in humans via line-scan diffusion acquisitions at 7 T with 250-500 micron radial resolution.

Authors:  Mukund Balasubramanian; Robert V Mulkern; Jeffrey J Neil; Stephan E Maier; Jonathan R Polimeni
Journal:  Magn Reson Med       Date:  2020-08-01       Impact factor: 4.668

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.