99 related articles for article (PubMed ID: 32189825)
1. SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification.
Wu H; Eck BL; Levi J; Fares A; Li Y; Wen D; Bezerra HG; Wilson DL
Proc SPIE Int Soc Opt Eng; 2018 Feb; 10578():. PubMed ID: 32189825
[TBL] [Abstract][Full Text] [Related]
2. SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging.
Wu H; Eck BL; Levi J; Fares A; Li Y; Wen D; Bezerra HG; Muzic RF; Wilson DL
J Med Imaging (Bellingham); 2019 Oct; 6(4):046001. PubMed ID: 31720314
[TBL] [Abstract][Full Text] [Related]
3. Comparison of quantitative myocardial perfusion imaging CT to fluorescent microsphere-based flow from high-resolution cryo-images.
Eck BL; Fahmi R; Levi J; Fares A; Wu H; Li Y; Vembar M; Dhanantwari A; Bezerra HG; Wilson DL
Proc SPIE Int Soc Opt Eng; 2016; 9788():. PubMed ID: 29568147
[TBL] [Abstract][Full Text] [Related]
4. The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT.
Eck BL; Muzic RF; Levi J; Wu H; Fahmi R; Li Y; Fares A; Vembar M; Dhanantwari A; Bezerra HG; Wilson DL
Phys Med Biol; 2018 Sep; 63(18):185011. PubMed ID: 30113311
[TBL] [Abstract][Full Text] [Related]
5. Validation of myocardial perfusion quantification by dynamic CT in an ex-vivo porcine heart model.
Pelgrim GJ; Das M; van Tuijl S; van Assen M; Prinzen FW; Stijnen M; Oudkerk M; Wildberger JE; Vliegenthart R
Int J Cardiovasc Imaging; 2017 Nov; 33(11):1821-1830. PubMed ID: 28536897
[TBL] [Abstract][Full Text] [Related]
6. Effect of Beam Hardening on Transmural Myocardial Perfusion Quantification in Myocardial CT Imaging.
Fahmi R; Eck BL; Levi J; Fares A; Wu H; Vembar M; Dhanantwari A; Bezerra HG; Wilson DL
Proc SPIE Int Soc Opt Eng; 2016 Mar; 9788():. PubMed ID: 32210495
[TBL] [Abstract][Full Text] [Related]
7. Simulation Evaluation of Quantitative Myocardial Perfusion Assessment from Cardiac CT.
Bindschadler M; Modgil D; Branch KR; La Riviere PJ; Alessio AM
Proc SPIE Int Soc Opt Eng; 2014 Mar; 9033():903303. PubMed ID: 25395812
[TBL] [Abstract][Full Text] [Related]
8. Diagnostic value of transmural perfusion ratio derived from dynamic CT-based myocardial perfusion imaging for the detection of haemodynamically relevant coronary artery stenosis.
Coenen A; Lubbers MM; Kurata A; Kono A; Dedic A; Chelu RG; Dijkshoorn ML; Rossi A; van Geuns RM; Nieman K
Eur Radiol; 2017 Jun; 27(6):2309-2316. PubMed ID: 27704198
[TBL] [Abstract][Full Text] [Related]
9. Accuracy of dynamic computed tomography adenosine stress myocardial perfusion imaging in estimating myocardial blood flow at various degrees of coronary artery stenosis using a porcine animal model.
Bamberg F; Hinkel R; Schwarz F; Sandner TA; Baloch E; Marcus R; Becker A; Kupatt C; Wintersperger BJ; Johnson TR; Theisen D; Klotz E; Reiser MF; Nikolaou K
Invest Radiol; 2012 Jan; 47(1):71-7. PubMed ID: 22178894
[TBL] [Abstract][Full Text] [Related]
10. Quantification of myocardial perfusion using dynamic 64-detector computed tomography.
George RT; Jerosch-Herold M; Silva C; Kitagawa K; Bluemke DA; Lima JA; Lardo AC
Invest Radiol; 2007 Dec; 42(12):815-22. PubMed ID: 18007153
[TBL] [Abstract][Full Text] [Related]
11. Quantification of myocardial blood flow by adenosine-stress CT perfusion imaging in pigs during various degrees of stenosis correlates well with coronary artery blood flow and fractional flow reserve.
Rossi A; Uitterdijk A; Dijkshoorn M; Klotz E; Dharampal A; van Straten M; van der Giessen WJ; Mollet N; van Geuns RJ; Krestin GP; Duncker DJ; de Feyter PJ; Merkus D
Eur Heart J Cardiovasc Imaging; 2013 Apr; 14(4):331-8. PubMed ID: 22843541
[TBL] [Abstract][Full Text] [Related]
12. Intermodel disagreement of myocardial blood flow estimation from dynamic CT perfusion imaging.
van Assen M; Pelgrim GJ; De Cecco CN; Stijnen JMA; Zaki BM; Oudkerk M; Vliegenthart R; Schoepf UJ
Eur J Radiol; 2019 Jan; 110():175-180. PubMed ID: 30599857
[TBL] [Abstract][Full Text] [Related]
13. Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT.
Ho KT; Chua KC; Klotz E; Panknin C
JACC Cardiovasc Imaging; 2010 Aug; 3(8):811-20. PubMed ID: 20705260
[TBL] [Abstract][Full Text] [Related]
14. Magnetic resonance perfusion of the myocardium: semiquantitative and quantitative evaluation in comparison with coronary angiography and fractional flow reserve.
Huber A; Sourbron S; Klauss V; Schaefer J; Bauner KU; Schweyer M; Reiser M; Rummeny E; Rieber J
Invest Radiol; 2012 Jun; 47(6):332-8. PubMed ID: 22543970
[TBL] [Abstract][Full Text] [Related]
15. A quantitative high resolution voxel-wise assessment of myocardial blood flow from contrast-enhanced first-pass magnetic resonance perfusion imaging: microsphere validation in a magnetic resonance compatible free beating explanted pig heart model.
Schuster A; Sinclair M; Zarinabad N; Ishida M; van den Wijngaard JP; Paul M; van Horssen P; Hussain ST; Perera D; Schaeffter T; Spaan JA; Siebes M; Nagel E; Chiribiri A
Eur Heart J Cardiovasc Imaging; 2015 Oct; 16(10):1082-92. PubMed ID: 25812572
[TBL] [Abstract][Full Text] [Related]
16. Detection of Hemodynamically Significant Coronary Stenosis: CT Myocardial Perfusion versus Machine Learning CT Fractional Flow Reserve.
Li Y; Yu M; Dai X; Lu Z; Shen C; Wang Y; Lu B; Zhang J
Radiology; 2019 Nov; 293(2):305-314. PubMed ID: 31549943
[TBL] [Abstract][Full Text] [Related]
17. Dynamic CT Myocardial Perfusion Imaging: Detection of Ischemia in a Porcine Model with FFR Verification.
Fahmi R; Eck BL; Vembar M; Bezerra HG; Wilson DL
Proc SPIE Int Soc Opt Eng; 2014 Feb; 9038():. PubMed ID: 33953455
[TBL] [Abstract][Full Text] [Related]
18. Technical Note: Evaluation of a 160-mm/256-row CT scanner for whole-heart quantitative myocardial perfusion imaging.
So A; Imai Y; Nett B; Jackson J; Nett L; Hsieh J; Wisenberg G; Teefy P; Yadegari A; Islam A; Lee TY
Med Phys; 2016 Aug; 43(8):4821. PubMed ID: 27487900
[TBL] [Abstract][Full Text] [Related]
19. Quantified dual energy computed tomography perfusion imaging using myocardial iodine concentration: Validation using CT derived myocardial blood flow and invasive fractional flow reserve in a porcine model.
Poulter R; Wood DA; Starovoytov A; Smith S; Chitsaz M; Mayo J
J Cardiovasc Comput Tomogr; 2019; 13(2):86-91. PubMed ID: 30718182
[TBL] [Abstract][Full Text] [Related]
20. Underestimation of myocardial blood flow by dynamic perfusion CT: Explanations by two-compartment model analysis and limited temporal sampling of dynamic CT.
Ishida M; Kitagawa K; Ichihara T; Natsume T; Nakayama R; Nagasawa N; Kubooka M; Ito T; Uno M; Goto Y; Nagata M; Sakuma H
J Cardiovasc Comput Tomogr; 2016; 10(3):207-14. PubMed ID: 26851149
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
