82 related articles for article (PubMed ID: 15236389)
1. Deconvolution of dynamic contrast-enhanced MRI data by linear inversion: choice of the regularization parameter.
Sourbron S; Luypaert R; Van Schuerbeek P; Dujardin M; Stadnik T; Osteaux M
Magn Reson Med; 2004 Jul; 52(1):209-13. PubMed ID: 15236389
[TBL] [Abstract][Full Text] [Related]
2. Choice of the regularization parameter for perfusion quantification with MRI.
Sourbron S; Luypaert R; Van Schuerbeek P; Dujardin M; Stadnik T
Phys Med Biol; 2004 Jul; 49(14):3307-24. PubMed ID: 15357199
[TBL] [Abstract][Full Text] [Related]
3. Deconvolution analysis of dynamic contrast-enhanced data based on singular value decomposition optimized by generalized cross validation.
Murase K; Yamazaki Y; Miyazaki S
Magn Reson Med Sci; 2004; 3(4):165-75. PubMed ID: 16093635
[TBL] [Abstract][Full Text] [Related]
4. Pixel-by-pixel deconvolution of bolus-tracking data: optimization and implementation.
Sourbron S; Dujardin M; Makkat S; Luypaert R
Phys Med Biol; 2007 Jan; 52(2):429-47. PubMed ID: 17202625
[TBL] [Abstract][Full Text] [Related]
5. Quantification of pulmonary microcirculation by dynamic contrast-enhanced magnetic resonance imaging: comparison of four regularization methods.
Salehi Ravesh M; Brix G; Laun FB; Kuder TA; Puderbach M; Ley-Zaporozhan J; Ley S; Fieselmann A; Herrmann MF; Schranz W; Semmler W; Risse F
Magn Reson Med; 2013 Jan; 69(1):188-99. PubMed ID: 22383403
[TBL] [Abstract][Full Text] [Related]
6. Assessment of clinical data of nonlinear stochastic deconvolution versus block-circulant singular value decomposition for quantitative dynamic susceptibility contrast magnetic resonance imaging.
Peruzzo D; Zanderigo F; Bertoldo A; Pillonetto G; Cosottini M; Cobelli C
Magn Reson Imaging; 2011 Sep; 29(7):927-36. PubMed ID: 21616625
[TBL] [Abstract][Full Text] [Related]
7. Error analysis of tumor blood flow measurement using dynamic contrast-enhanced data and model-independent deconvolution analysis.
Murase K; Miyazaki S
Phys Med Biol; 2007 May; 52(10):2791-805. PubMed ID: 17473352
[TBL] [Abstract][Full Text] [Related]
8. Tracer delay correction of cerebral blood flow with dynamic susceptibility contrast-enhanced MRI.
Ibaraki M; Shimosegawa E; Toyoshima H; Takahashi K; Miura S; Kanno I
J Cereb Blood Flow Metab; 2005 Mar; 25(3):378-90. PubMed ID: 15674238
[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. A microfabricated phantom for quantitative MR perfusion measurements: validation of singular value decomposition deconvolution method.
Ebrahimi B; Swanson SD; Chupp TE
IEEE Trans Biomed Eng; 2010 Nov; 57(11):. PubMed ID: 20601306
[TBL] [Abstract][Full Text] [Related]
11. Discrepancy-based adaptive regularization for GRAPPA reconstruction.
Qu P; Wang C; Shen GX
J Magn Reson Imaging; 2006 Jul; 24(1):248-55. PubMed ID: 16758468
[TBL] [Abstract][Full Text] [Related]
12. Perfusion quantification using Gaussian process deconvolution.
Andersen IK; Szymkowiak A; Rasmussen CE; Hanson LG; Marstrand JR; Larsson HB; Hansen LK
Magn Reson Med; 2002 Aug; 48(2):351-61. PubMed ID: 12210944
[TBL] [Abstract][Full Text] [Related]
13. SPINNED: Simulation-based physics-informed neural network for deconvolution of dynamic susceptibility contrast MRI perfusion data.
Asaduddin M; Kim EY; Park SH
Magn Reson Med; 2024 Sep; 92(3):1205-1218. PubMed ID: 38623911
[TBL] [Abstract][Full Text] [Related]
14. Assessment of hepatic extraction fraction and input relative blood flow using dynamic hepatocyte-specific contrast-enhanced MRI.
Nilsson H; Nordell A; Vargas R; Douglas L; Jonas E; Blomqvist L
J Magn Reson Imaging; 2009 Jun; 29(6):1323-31. PubMed ID: 19472389
[TBL] [Abstract][Full Text] [Related]
15. Robustness of spatio-temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke.
Giacalone M; Frindel C; Robini M; Cervenansky F; Grenier E; Rousseau D
Magn Reson Med; 2017 Nov; 78(5):1981-1990. PubMed ID: 28019027
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Quantification of bolus-tracking MRI: Improved characterization of the tissue residue function using Tikhonov regularization.
Calamante F; Gadian DG; Connelly A
Magn Reson Med; 2003 Dec; 50(6):1237-47. PubMed ID: 14648572
[TBL] [Abstract][Full Text] [Related]
18. Deconvolution with simple extrapolation for improved cerebral blood flow measurement in dynamic susceptibility contrast magnetic resonance imaging during acute ischemic stroke.
MacDonald ME; Smith MR; Frayne R
Magn Reson Imaging; 2011 Jun; 29(5):620-9. PubMed ID: 21546188
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Parallel MRI reconstruction using variance partitioning regularization.
Lin FH; Wang FN; Ahlfors SP; Hämäläinen MS; Belliveau JW
Magn Reson Med; 2007 Oct; 58(4):735-44. PubMed ID: 17899610
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
