166 related articles for article (PubMed ID: 26519871)
1. Analysis of perfusion MRI in stroke: To deconvolve, or not to deconvolve.
Meijs M; Christensen S; Lansberg MG; Albers GW; Calamante F
Magn Reson Med; 2016 Oct; 76(4):1282-90. PubMed ID: 26519871
[TBL] [Abstract][Full Text] [Related]
2. Automated detection of the arterial input function using normalized cut clustering to determine cerebral perfusion by dynamic susceptibility contrast-magnetic resonance imaging.
Yin J; Sun H; Yang J; Guo Q
J Magn Reson Imaging; 2015 Apr; 41(4):1071-8. PubMed ID: 24753102
[TBL] [Abstract][Full Text] [Related]
3. Optimization of two-compartment-exchange-model analysis for dynamic contrast-enhanced mri incorporating bolus arrival time.
Nadav G; Liberman G; Artzi M; Kiryati N; Bashat DB
J Magn Reson Imaging; 2017 Jan; 45(1):237-249. PubMed ID: 27383624
[TBL] [Abstract][Full Text] [Related]
4. Perfusion quantification by model-free arterial spin labeling using nonlinear stochastic regularization deconvolution.
Ahlgren A; Wirestam R; Petersen ET; Ståhlberg F; Knutsson L
Magn Reson Med; 2013 Nov; 70(5):1470-80. PubMed ID: 23281031
[TBL] [Abstract][Full Text] [Related]
5. Cerebral blood flow estimation from perfusion-weighted MRI using FT-based MMSE filtering method.
Sakoglu U; Sood R
Magn Reson Imaging; 2008 Apr; 26(3):313-22. PubMed ID: 18158225
[TBL] [Abstract][Full Text] [Related]
6. A linear mixed perfusion model for tissue partial volume correction of perfusion estimates in dynamic susceptibility contrast MRI: Impact on absolute quantification, repeatability, and agreement with pseudo-continuous arterial spin labeling.
Ahlgren A; Wirestam R; Lind E; Ståhlberg F; Knutsson L
Magn Reson Med; 2017 Jun; 77(6):2203-2214. PubMed ID: 27321696
[TBL] [Abstract][Full Text] [Related]
7. DSC perfusion MRI-Quantification and reduction of systematic errors arising in areas of reduced cerebral blood flow.
Carpenter TK; Armitage PA; Bastin ME; Wardlaw JM
Magn Reson Med; 2006 Jun; 55(6):1342-9. PubMed ID: 16683256
[TBL] [Abstract][Full Text] [Related]
8. Bolus delay and dispersion in perfusion MRI: implications for tissue predictor models in stroke.
Calamante F; Willats L; Gadian DG; Connelly A
Magn Reson Med; 2006 May; 55(5):1180-5. PubMed ID: 16598717
[TBL] [Abstract][Full Text] [Related]
9. A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI.
Mehndiratta A; MacIntosh BJ; Crane DE; Payne SJ; Chappell MA
Neuroimage; 2013 Jan; 64():560-70. PubMed ID: 22975158
[TBL] [Abstract][Full Text] [Related]
10. Reduction of arterial partial volume effects for improved absolute quantification of DSC-MRI perfusion estimates: comparison between tail scaling and prebolus administration.
Knutsson L; Lindgren E; Ahlgren A; van Osch MJ; Markenroth Bloch K; Surova Y; Ståhlberg F; van Westen D; Wirestam R
J Magn Reson Imaging; 2015 Apr; 41(4):903-8. PubMed ID: 24664642
[TBL] [Abstract][Full Text] [Related]
11. Precision, signal-to-noise ratio, and dose optimization of magnitude and phase arterial input functions in dynamic susceptibility contrast MRI.
Kotys MS; Akbudak E; Markham J; Conturo TE
J Magn Reson Imaging; 2007 Mar; 25(3):598-611. PubMed ID: 17326084
[TBL] [Abstract][Full Text] [Related]
12. A 3-D spatio-temporal deconvolution approach for MR perfusion in the brain.
Frindel C; Robini MC; Rousseau D
Med Image Anal; 2014 Jan; 18(1):144-60. PubMed ID: 24184525
[TBL] [Abstract][Full Text] [Related]
13. Correcting saturation effects of the arterial input function in dynamic susceptibility contrast-enhanced MRI: a Monte Carlo simulation.
Brunecker P; Villringer A; Schultze J; Nolte CH; Jungehülsing GJ; Endres M; Steinbrink J
Magn Reson Imaging; 2007 Nov; 25(9):1300-11. PubMed ID: 17462846
[TBL] [Abstract][Full Text] [Related]
14. Arterial input function placement for accurate CT perfusion map construction in acute stroke.
Ferreira RM; Lev MH; Goldmakher GV; Kamalian S; Schaefer PW; Furie KL; Gonzalez RG; Sanelli PC
AJR Am J Roentgenol; 2010 May; 194(5):1330-6. PubMed ID: 20410422
[TBL] [Abstract][Full Text] [Related]
15. The importance of AIF ROI selection in DCE-MRI renography: reproducibility and variability of renal perfusion and filtration.
Cutajar M; Mendichovszky IA; Tofts PS; Gordon I
Eur J Radiol; 2010 Jun; 74(3):e154-60. PubMed ID: 19541441
[TBL] [Abstract][Full Text] [Related]
16. Aspects on the accuracy of cerebral perfusion parameters obtained by dynamic susceptibility contrast MRI: a simulation study.
Knutsson L; Ståhlberg F; Wirestam R
Magn Reson Imaging; 2004 Jul; 22(6):789-98. PubMed ID: 15234447
[TBL] [Abstract][Full Text] [Related]
17. Wavelet-based noise reduction for improved deconvolution of time-series data in dynamic susceptibility-contrast MRI.
Wirestam R; Ståhlberg F
MAGMA; 2005 Jul; 18(3):113-8. PubMed ID: 15887036
[TBL] [Abstract][Full Text] [Related]
18. Single-channel blind estimation of arterial input function and tissue impulse response in DCE-MRI.
Taxt T; Jirík R; Rygh CB; Grüner R; Bartos M; Andersen E; Curry FR; Reed RK
IEEE Trans Biomed Eng; 2012 Apr; 59(4):1012-21. PubMed ID: 22217906
[TBL] [Abstract][Full Text] [Related]
19. Toward fully automated processing of dynamic susceptibility contrast perfusion MRI for acute ischemic cerebral stroke.
Kim J; Leira EC; Callison RC; Ludwig B; Moritani T; Magnotta VA; Madsen MT
Comput Methods Programs Biomed; 2010 May; 98(2):204-13. PubMed ID: 20060614
[TBL] [Abstract][Full Text] [Related]
20. Validating a local Arterial Input Function method for improved perfusion quantification in stroke.
Willats L; Christensen S; Ma HK; Donnan GA; Connelly A; Calamante F
J Cereb Blood Flow Metab; 2011 Nov; 31(11):2189-98. PubMed ID: 21629260
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]