325 related articles for article (PubMed ID: 26297961)
1. Pharmacokinetic analysis of prostate cancer using independent component analysis.
Mehrabian H; Da Rosa M; Haider MA; Martel AL
Magn Reson Imaging; 2015 Dec; 33(10):1236-1245. PubMed ID: 26297961
[TBL] [Abstract][Full Text] [Related]
2. Quantitative pharmacokinetic analysis of prostate cancer DCE-MRI at 3T: comparison of two arterial input functions on cancer detection with digitized whole mount histopathological validation.
Fennessy FM; Fedorov A; Penzkofer T; Kim KW; Hirsch MS; Vangel MG; Masry P; Flood TA; Chang MC; Tempany CM; Mulkern RV; Gupta SN
Magn Reson Imaging; 2015 Sep; 33(7):886-94. PubMed ID: 25683515
[TBL] [Abstract][Full Text] [Related]
3. A comparison of two methods for estimating DCE-MRI parameters via individual and cohort based AIFs in prostate cancer: a step towards practical implementation.
Fedorov A; Fluckiger J; Ayers GD; Li X; Gupta SN; Tempany C; Mulkern R; Yankeelov TE; Fennessy FM
Magn Reson Imaging; 2014 May; 32(4):321-9. PubMed ID: 24560287
[TBL] [Abstract][Full Text] [Related]
4. Calculation of intravascular signal in dynamic contrast enhanced-MRI using adaptive complex independent component analysis.
Mehrabian H; Chopra R; Martel AL
IEEE Trans Med Imaging; 2013 Apr; 32(4):699-710. PubMed ID: 23247848
[TBL] [Abstract][Full Text] [Related]
5. Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study.
Mendichovszky IA; Cutajar M; Gordon I
Eur J Radiol; 2009 Sep; 71(3):576-81. PubMed ID: 19004588
[TBL] [Abstract][Full Text] [Related]
6. Influence of arterial input function (AIF) on quantitative prostate dynamic contrast-enhanced (DCE) MRI and zonal prostate anatomy.
Ziayee F; Müller-Lutz A; Gross J; Quentin M; Ullrich T; Heusch P; Arsov C; Rabenalt R; Albers P; Antoch G; Wittsack HJ; Schimmöller L
Magn Reson Imaging; 2018 Nov; 53():28-33. PubMed ID: 29902565
[TBL] [Abstract][Full Text] [Related]
7. Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method.
Ginsburg SB; Taimen P; Merisaari H; Vainio P; Boström PJ; Aronen HJ; Jambor I; Madabhushi A
J Magn Reson Imaging; 2016 Dec; 44(6):1405-1414. PubMed ID: 27285161
[TBL] [Abstract][Full Text] [Related]
8. Relative sensitivities of DCE-MRI pharmacokinetic parameters to arterial input function (AIF) scaling.
Li X; Cai Y; Moloney B; Chen Y; Huang W; Woods M; Coakley FV; Rooney WD; Garzotto MG; Springer CS
J Magn Reson; 2016 Aug; 269():104-112. PubMed ID: 27288764
[TBL] [Abstract][Full Text] [Related]
9. Impact of arterial input function selection on the accuracy of dynamic contrast-enhanced MRI quantitative analysis for the diagnosis of clinically significant prostate cancer.
Azahaf M; Haberlay M; Betrouni N; Ernst O; Behal H; Duhamel A; Ouzzane A; Puech P
J Magn Reson Imaging; 2016 Mar; 43(3):737-49. PubMed ID: 26303794
[TBL] [Abstract][Full Text] [Related]
10. Improving the Reliability of Pharmacokinetic Parameters at Dynamic Contrast-enhanced MRI in Astrocytomas: A Deep Learning Approach.
Choi KS; You SH; Han Y; Ye JC; Jeong B; Choi SH
Radiology; 2020 Oct; 297(1):178-188. PubMed ID: 32749203
[TBL] [Abstract][Full Text] [Related]
11. Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters.
Mazaheri Y; Kim N; Lakhman Y; Jafari R; Vargas A; Otazo R
NMR Biomed; 2022 Jul; 35(7):e4718. PubMed ID: 35226774
[TBL] [Abstract][Full Text] [Related]
12. Subcompartmentalization of extracellular extravascular space (EES) into permeability and leaky space with local arterial input function (AIF) results in improved discrimination between high- and low-grade glioma using dynamic contrast-enhanced (DCE) MRI.
Sahoo P; Rathore RK; Awasthi R; Roy B; Verma S; Rathore D; Behari S; Husain M; Husain N; Pandey CM; Mohakud S; Gupta RK
J Magn Reson Imaging; 2013 Sep; 38(3):677-88. PubMed ID: 23390002
[TBL] [Abstract][Full Text] [Related]
13. Assessment of the effect of haematocrit-dependent arterial input functions on the accuracy of pharmacokinetic parameters in dynamic contrast-enhanced MRI.
Just N; Koh DM; D'Arcy J; Collins DJ; Leach MO
NMR Biomed; 2011 Aug; 24(7):902-15. PubMed ID: 21290457
[TBL] [Abstract][Full Text] [Related]
14. Reproducibility of the gadolinium concentration measurements and of the fitting parameters of the vascular input function in the superior sagittal sinus in a patient population.
Lavini C; Verhoeff JJ
Magn Reson Imaging; 2010 Dec; 28(10):1420-30. PubMed ID: 20817379
[TBL] [Abstract][Full Text] [Related]
15. Dynamic contrast-enhanced MRI of prostate cancer at 3 T: a study of pharmacokinetic parameters.
Ocak I; Bernardo M; Metzger G; Barrett T; Pinto P; Albert PS; Choyke PL
AJR Am J Roentgenol; 2007 Oct; 189(4):849. PubMed ID: 17885055
[TBL] [Abstract][Full Text] [Related]
16. Phase-based arterial input function measurements in the femoral arteries for quantification of dynamic contrast-enhanced (DCE) MRI and comparison with DCE-CT.
Korporaal JG; van den Berg CA; van Osch MJ; Groenendaal G; van Vulpen M; van der Heide UA
Magn Reson Med; 2011 Nov; 66(5):1267-74. PubMed ID: 21604291
[TBL] [Abstract][Full Text] [Related]
17. Effect of T2* correction on contrast kinetic model analysis using a reference tissue arterial input function at 7 T.
Zhang J; Freed M; Winters K; Kim SG
MAGMA; 2015 Dec; 28(6):555-63. PubMed ID: 26239630
[TBL] [Abstract][Full Text] [Related]
18. Assessment of repeatability and treatment response in early phase clinical trials using DCE-MRI: comparison of parametric analysis using MR- and CT-derived arterial input functions.
Rata M; Collins DJ; Darcy J; Messiou C; Tunariu N; Desouza N; Young H; Leach MO; Orton MR
Eur Radiol; 2016 Jul; 26(7):1991-8. PubMed ID: 26385804
[TBL] [Abstract][Full Text] [Related]
19. The Impact of Arterial Input Function Determination Variations on Prostate Dynamic Contrast-Enhanced Magnetic Resonance Imaging Pharmacokinetic Modeling: A Multicenter Data Analysis Challenge, Part II.
Huang W; Chen Y; Fedorov A; Li X; Jajamovich GH; Malyarenko DI; Aryal MP; LaViolette PS; Oborski MJ; O'Sullivan F; Abramson RG; Jafari-Khouzani K; Afzal A; Tudorica A; Moloney B; Gupta SN; Besa C; Kalpathy-Cramer J; Mountz JM; Laymon CM; Muzi M; Kinahan PE; Schmainda K; Cao Y; Chenevert TL; Taouli B; Yankeelov TE; Fennessy F; Li X
Tomography; 2019 Mar; 5(1):99-109. PubMed ID: 30854447
[TBL] [Abstract][Full Text] [Related]
20. Dynamic contrast-enhanced MRI of the patellar bone: How to quantify perfusion.
Poot DHJ; van der Heijden RA; van Middelkoop M; Oei EHG; Klein S
J Magn Reson Imaging; 2018 Mar; 47(3):848-858. PubMed ID: 28707311
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]