Literature DB >> 7997111

A quantitative interpretation of IVIM measurements of vascular perfusion in the rat brain.

R M Henkelman1, J J Neil, Q S Xiang.   

Abstract

Pulsed gradient spin echo (PGSE) sequences have been used to measure the signal loss of 19F in perfluorinated hydrocarbon blood substitutes moving within the vasculature of the rat brain in the experimental conditions of the study. The signal loss is not characterized by a single apparent pseudodiffusion coefficient. A simple vascular network model based on self-similarity has been used to calculate the shape of the signal loss. Excellent agreement with the experiment has been obtained showing that the IVIM measurements are sensitive to flow over a wide range of vessel diameters and flow rates. This model of vascular structure may serve well for other MR measurements that are sensitive to perfusion.

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Year:  1994        PMID: 7997111     DOI: 10.1002/mrm.1910320407

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


  21 in total

Review 1.  Functional mapping in the human brain using high magnetic fields.

Authors:  K Uğurbil; X Hu; W Chen; X H Zhu; S G Kim; A Georgopoulos
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-07-29       Impact factor: 6.237

2.  Interstitial fluid pressure correlates with intravoxel incoherent motion imaging metrics in a mouse mammary carcinoma model.

Authors:  Sungheon Kim; Lindsey Decarlo; Gene Y Cho; Jens H Jensen; Daniel K Sodickson; Linda Moy; Silvia Formenti; Robert J Schneider; Judith D Goldberg; Eric E Sigmund
Journal:  NMR Biomed       Date:  2011-11-09       Impact factor: 4.044

3.  Temporal evolution of perfusion parameters in brain metastases treated with stereotactic radiosurgery: comparison of intravoxel incoherent motion and dynamic contrast enhanced MRI.

Authors:  Anish Kapadia; Hatef Mehrabian; John Conklin; Sean P Symons; Pejman J Maralani; Greg J Stanisz; Arjun Sahgal; Hany Soliman; Chinthaka C Heyn
Journal:  J Neurooncol       Date:  2017-07-01       Impact factor: 4.130

4.  A two-pool model to describe the IVIM cerebral perfusion.

Authors:  Gabrielle Fournet; Jing-Rebecca Li; Alex M Cerjanic; Bradley P Sutton; Luisa Ciobanu; Denis Le Bihan
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

5.  The Effect of Microcirculatory Flow on Oscillating Gradient Diffusion MRI and Diffusion Encoding with Dual-Frequency Orthogonal Gradients (DEFOG).

Authors:  Dan Wu; Jiangyang Zhang
Journal:  Magn Reson Med       Date:  2016-04-15       Impact factor: 4.668

6.  Statistical assessment of bi-exponential diffusion weighted imaging signal characteristics induced by intravoxel incoherent motion in malignant breast tumors.

Authors:  Jing Yuan; Oi Lei Wong; Gladys G Lo; Helen H L Chan; Ting Ting Wong; Polly S Y Cheung
Journal:  Quant Imaging Med Surg       Date:  2016-08

7.  Intravoxel incoherent motion diffusion imaging of the liver: optimal b-value subsampling and impact on parameter precision and reproducibility.

Authors:  Hadrien Dyvorne; Guido Jajamovich; Suguru Kakite; Bernd Kuehn; Bachir Taouli
Journal:  Eur J Radiol       Date:  2014-09-21       Impact factor: 3.528

8.  Effects of perfusion on diffusion changes in human brain tumors.

Authors:  Alexander D Cohen; Peter S LaViolette; Melissa Prah; Jennifer Connelly; Mark G Malkin; Scott D Rand; Wade M Mueller; Kathleen M Schmainda
Journal:  J Magn Reson Imaging       Date:  2013-02-06       Impact factor: 4.813

9.  In vivo study of microcirculation in canine myocardium using the IVIM method.

Authors:  Virginie Callot; Eric Bennett; Ulrich K M Decking; Robert S Balaban; Han Wen
Journal:  Magn Reson Med       Date:  2003-09       Impact factor: 4.668

10.  Spatially-constrained probability distribution model of incoherent motion (SPIM) for abdominal diffusion-weighted MRI.

Authors:  Sila Kurugol; Moti Freiman; Onur Afacan; Jeannette M Perez-Rossello; Michael J Callahan; Simon K Warfield
Journal:  Med Image Anal       Date:  2016-04-01       Impact factor: 8.545

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