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Items: 1 to 20 of 94

1.

PCATMIP: enhancing signal intensity in diffusion-weighted magnetic resonance imaging.

Pai VM, Rapacchi S, Kellman P, Croisille P, Wen H.

Magn Reson Med. 2011 Jun;65(6):1611-9. doi: 10.1002/mrm.22748. Epub 2010 Dec 16.

2.

Low b-value diffusion-weighted cardiac magnetic resonance imaging: initial results in humans using an optimal time-window imaging approach.

Rapacchi S, Wen H, Viallon M, Grenier D, Kellman P, Croisille P, Pai VM.

Invest Radiol. 2011 Dec;46(12):751-8. doi: 10.1097/RLI.0b013e31822438e8.

3.

In vivo cardiac diffusion-weighted magnetic resonance imaging: quantification of normal perfusion and diffusion coefficients with intravoxel incoherent motion imaging.

Delattre BM, Viallon M, Wei H, Zhu YM, Feiweier T, Pai VM, Wen H, Croisille P.

Invest Radiol. 2012 Nov;47(11):662-70. doi: 10.1097/RLI.0b013e31826ef901.

PMID:
23001045
4.

Impact of measurement parameters on apparent diffusion coefficient quantification in diffusion-weighted-magnetic resonance imaging.

Schmidt H, Gatidis S, Schwenzer NF, Martirosian P.

Invest Radiol. 2015 Jan;50(1):46-56. doi: 10.1097/RLI.0000000000000095.

PMID:
25247326
5.

Image denoising substantially improves accuracy and precision of intravoxel incoherent motion parameter estimates.

Reischauer C, Gutzeit A.

PLoS One. 2017 Apr 5;12(4):e0175106. doi: 10.1371/journal.pone.0175106. eCollection 2017.

6.

Assessment of cardiac motion effects on the fiber architecture of the human heart in vivo.

Wei H, Viallon M, Delattre BM, Wang L, Pai VM, Wen H, Xue H, Guetter C, Croisille P, Zhu Y.

IEEE Trans Med Imaging. 2013 Oct;32(10):1928-38. doi: 10.1109/TMI.2013.2269195. Epub 2013 Jun 19.

7.

Improvement of the diffusion-weighted images acquired with radial trajectories using projection data regeneration.

Han Y, Hwang J, Chung JY, Yun S, Park H.

J Magn Reson Imaging. 2007 Sep;26(3):799-804.

PMID:
17685419
8.

Comparison between diffusion-weighted MRI (DW-MRI) at 1.5 and 3 tesla: a phantom study.

Lavdas I, Miquel ME, McRobbie DW, Aboagye EO.

J Magn Reson Imaging. 2014 Sep;40(3):682-90. doi: 10.1002/jmri.24397. Epub 2013 Oct 31.

PMID:
24925470
9.

Denoising of complex MRI data by wavelet-domain filtering: application to high-b-value diffusion-weighted imaging.

Wirestam R, Bibic A, Lätt J, Brockstedt S, Ståhlberg F.

Magn Reson Med. 2006 Nov;56(5):1114-20.

10.

Cardiac motion in diffusion-weighted MRI of the liver: artifact and a method of correction.

Liau J, Lee J, Schroeder ME, Sirlin CB, Bydder M.

J Magn Reson Imaging. 2012 Feb;35(2):318-27. doi: 10.1002/jmri.22816. Epub 2011 Sep 29.

11.

Thin-section diffusion-weighted magnetic resonance imaging of the brain with parallel imaging.

Oner AY, Celik H, Tali T, Akpek S, Tokgoz N.

Acta Radiol. 2007 May;48(4):456-63.

PMID:
17453529
12.

Motion correction and registration of high b-value diffusion weighted images.

Ben-Amitay S, Jones DK, Assaf Y.

Magn Reson Med. 2012 Jun;67(6):1694-702. doi: 10.1002/mrm.23186. Epub 2011 Dec 19.

13.

Integrated Shimming Improves Lesion Detection in Whole-Body Diffusion-Weighted Examinations of Patients With Plasma Disorder at 3 T.

Zhang H, Xue H, Alto S, Hui L, Kannengiesser S, Berthold K, Jin Z.

Invest Radiol. 2016 May;51(5):297-305. doi: 10.1097/RLI.0000000000000238.

PMID:
26704452
14.

Denoising of diffusion MRI using random matrix theory.

Veraart J, Novikov DS, Christiaens D, Ades-Aron B, Sijbers J, Fieremans E.

Neuroimage. 2016 Nov 15;142:394-406. doi: 10.1016/j.neuroimage.2016.08.016. Epub 2016 Aug 11.

15.

In vivo three-dimensional high resolution cardiac diffusion-weighted MRI: a motion compensated diffusion-prepared balanced steady-state free precession approach.

Nguyen C, Fan Z, Sharif B, He Y, Dharmakumar R, Berman DS, Li D.

Magn Reson Med. 2014 Nov;72(5):1257-67. doi: 10.1002/mrm.25038. Epub 2013 Nov 20.

PMID:
24259113
16.

Intravoxel incoherent motion in body diffusion-weighted MRI: reality and challenges.

Koh DM, Collins DJ, Orton MR.

AJR Am J Roentgenol. 2011 Jun;196(6):1351-61. doi: 10.2214/AJR.10.5515. Review.

PMID:
21606299
17.

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

Karki K, Hugo GD, Ford JC, Olsen KM, Saraiya S, Groves R, Weiss E.

Phys Med Biol. 2015 Oct 21;60(20):7877-91. doi: 10.1088/0031-9155/60/20/7877. Epub 2015 Sep 25.

18.

Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings.

Woodhams R, Kakita S, Hata H, Iwabuchi K, Umeoka S, Mountford CE, Hatabu H.

AJR Am J Roentgenol. 2009 Jul;193(1):260-6. doi: 10.2214/AJR.08.1670.

PMID:
19542422
19.
20.

Diffusion-weighted imaging of the liver with multiple b values: effect of diffusion gradient polarity and breathing acquisition on image quality and intravoxel incoherent motion parameters--a pilot study.

Dyvorne HA, Galea N, Nevers T, Fiel MI, Carpenter D, Wong E, Orton M, de Oliveira A, Feiweier T, Vachon ML, Babb JS, Taouli B.

Radiology. 2013 Mar;266(3):920-9. doi: 10.1148/radiol.12120686. Epub 2012 Dec 6.

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