182 related articles for article (PubMed ID: 31760191)
1. Hierarchical Bayesian myocardial perfusion quantification.
Scannell CM; Chiribiri A; Villa ADM; Breeuwer M; Lee J
Med Image Anal; 2020 Feb; 60():101611. PubMed ID: 31760191
[TBL] [Abstract][Full Text] [Related]
2. Physics-informed neural networks for myocardial perfusion MRI quantification.
van Herten RLM; Chiribiri A; Breeuwer M; Veta M; Scannell CM
Med Image Anal; 2022 May; 78():102399. PubMed ID: 35299005
[TBL] [Abstract][Full Text] [Related]
3. Measurement of myocardial blood flow by cardiovascular magnetic resonance perfusion: comparison of distributed parameter and Fermi models with single and dual bolus.
Papanastasiou G; Williams MC; Kershaw LE; Dweck MR; Alam S; Mirsadraee S; Connell M; Gray C; MacGillivray T; Newby DE; Semple SI
J Cardiovasc Magn Reson; 2015 Feb; 17(1):17. PubMed ID: 25885056
[TBL] [Abstract][Full Text] [Related]
4. Direct parametric reconstruction from undersampled (k, t)-space data in dynamic contrast enhanced MRI.
Dikaios N; Arridge S; Hamy V; Punwani S; Atkinson D
Med Image Anal; 2014 Oct; 18(7):989-1001. PubMed ID: 24972377
[TBL] [Abstract][Full Text] [Related]
5. Bayesian intravoxel incoherent motion parameter mapping in the human heart.
Spinner GR; von Deuster C; Tezcan KC; Stoeck CT; Kozerke S
J Cardiovasc Magn Reson; 2017 Nov; 19(1):85. PubMed ID: 29110717
[TBL] [Abstract][Full Text] [Related]
6. Bayesian segmentation of human facial tissue using 3D MR-CT information fusion, resolution enhancement and partial volume modelling.
Şener E; Mumcuoglu EU; Hamcan S
Comput Methods Programs Biomed; 2016 Feb; 124():31-44. PubMed ID: 26574298
[TBL] [Abstract][Full Text] [Related]
7. Fitting the two-compartment model in DCE-MRI by linear inversion.
Flouri D; Lesnic D; Sourbron SP
Magn Reson Med; 2016 Sep; 76(3):998-1006. PubMed ID: 26376011
[TBL] [Abstract][Full Text] [Related]
8. Unified Bayesian network for uncertainty quantification of physiological parameters in dynamic contrast enhanced (DCE) MRI of the liver.
Dejene EM; Brenner W; Makowski MR; Kolbitsch C
Phys Med Biol; 2023 Nov; 68(21):. PubMed ID: 37820640
[No Abstract] [Full Text] [Related]
9. Attenuation resilient AIF estimation based on hierarchical Bayesian modelling for first pass myocardial perfusion MRI.
Schmid VJ; Gatehouse PD; Yang GZ
Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):393-400. PubMed ID: 18051083
[TBL] [Abstract][Full Text] [Related]
10. Bayesian methods for pharmacokinetic models in dynamic contrast-enhanced magnetic resonance imaging.
Schmid VJ; Whitcher B; Padhani AR; Taylor NJ; Yang GZ
IEEE Trans Med Imaging; 2006 Dec; 25(12):1627-36. PubMed ID: 17167997
[TBL] [Abstract][Full Text] [Related]
11. Tracer kinetic modeling in myocardial perfusion quantification using MRI.
Schwab F; Ingrisch M; Marcus R; Bamberg F; Hildebrandt K; Adrion C; Gliemi C; Nikolaou K; Reiser M; Theisen D
Magn Reson Med; 2015 Mar; 73(3):1206-15. PubMed ID: 24687430
[TBL] [Abstract][Full Text] [Related]
12. Are complex DCE-MRI models supported by clinical data?
Duan C; Kallehauge JF; Bretthorst GL; Tanderup K; Ackerman JJ; Garbow JR
Magn Reson Med; 2017 Mar; 77(3):1329-1339. PubMed ID: 26946317
[TBL] [Abstract][Full Text] [Related]
13. A Bayesian hierarchical model for the analysis of a longitudinal dynamic contrast-enhanced MRI oncology study.
Schmid VJ; Whitcher B; Padhani AR; Taylor NJ; Yang GZ
Magn Reson Med; 2009 Jan; 61(1):163-74. PubMed ID: 19097226
[TBL] [Abstract][Full Text] [Related]
14. Absolute quantification of regional renal blood flow in swine by dynamic contrast-enhanced magnetic resonance imaging using a blood pool contrast agent.
Lüdemann L; Nafz B; Elsner F; Grosse-Siestrup C; Meissler M; Kaufels N; Rehbein H; Persson PB; Michaely HJ; Lengsfeld P; Voth M; Gutberlet M
Invest Radiol; 2009 Mar; 44(3):125-34. PubMed ID: 19151609
[TBL] [Abstract][Full Text] [Related]
15. A comparative simulation study of bayesian fitting approaches to intravoxel incoherent motion modeling in diffusion-weighted MRI.
While PT
Magn Reson Med; 2017 Dec; 78(6):2373-2387. PubMed ID: 28370232
[TBL] [Abstract][Full Text] [Related]
16. A comparison of Bayesian and non-linear regression methods for robust estimation of pharmacokinetics in DCE-MRI and how it affects cancer diagnosis.
Dikaios N; Atkinson D; Tudisca C; Purpura P; Forster M; Ahmed H; Beale T; Emberton M; Punwani S
Comput Med Imaging Graph; 2017 Mar; 56():1-10. PubMed ID: 28192761
[TBL] [Abstract][Full Text] [Related]
17. Comparison of the performance of tracer kinetic model-driven registration for dynamic contrast enhanced MRI using different models of contrast enhancement.
Buonaccorsi GA; Roberts C; Cheung S; Watson Y; O'Connor JP; Davies K; Jackson A; Jayson GC; Parker GJ
Acad Radiol; 2006 Sep; 13(9):1112-23. PubMed ID: 16935723
[TBL] [Abstract][Full Text] [Related]
18. Robust and efficient pharmacokinetic parameter non-linear least squares estimation for dynamic contrast enhanced MRI of the prostate.
Kargar S; Borisch EA; Froemming AT; Kawashima A; Mynderse LA; Stinson EG; Trzasko JD; Riederer SJ
Magn Reson Imaging; 2018 May; 48():50-61. PubMed ID: 29278764
[TBL] [Abstract][Full Text] [Related]
19. Automatic detection of myocardial ischaemia using generalisable spatio-temporal hierarchical Bayesian modelling of DCE-MRI.
Yang Y; Husmeier D; Gao H; Berry C; Carrick D; Radjenovic A
Comput Med Imaging Graph; 2024 Apr; 113():102333. PubMed ID: 38281420
[TBL] [Abstract][Full Text] [Related]
20. Bayesian modeling of Dynamic Contrast Enhanced MRI data in cerebral glioma patients improves the diagnostic quality of hemodynamic parameter maps.
Tietze A; Nielsen A; Klærke Mikkelsen I; Bo Hansen M; Obel A; Østergaard L; Mouridsen K
PLoS One; 2018; 13(9):e0202906. PubMed ID: 30256797
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]