226 related articles for article (PubMed ID: 19083965)
1. Another extra-coronary application of coronary computed tomography angiography: quantification of pericardial and intra-thoracic adipose tissue. Can it define the cardiovascular risk?
Alexanderson E; Meave A
J Cardiovasc Comput Tomogr; 2008; 2(5):296-7. PubMed ID: 19083965
[No Abstract] [Full Text] [Related]
2. Volumetric measurement of pericardial adipose tissue from contrast-enhanced coronary computed tomography angiography: a reproducibility study.
Nichols JH; Samy B; Nasir K; Fox CS; Schulze PC; Bamberg F; Hoffmann U
J Cardiovasc Comput Tomogr; 2008; 2(5):288-95. PubMed ID: 19083964
[TBL] [Abstract][Full Text] [Related]
3. Relationship between coronary artery disease and epicardial adipose tissue quantification at cardiac CT: comparison between automatic volumetric measurement and manual bidimensional estimation.
Bastarrika G; Broncano J; Schoepf UJ; Schwarz F; Lee YS; Abro JA; Costello P; Zwerner PL
Acad Radiol; 2010 Jun; 17(6):727-34. PubMed ID: 20363161
[TBL] [Abstract][Full Text] [Related]
4. Coronary CTA: stenosis classification and quantification, including automated measures.
Bekkers E; Roos J
J Cardiovasc Comput Tomogr; 2009; 3 Suppl 2():S109-15. PubMed ID: 20129518
[TBL] [Abstract][Full Text] [Related]
5. Left atrial size: when an imperfect measurement may be close enough.
Entrikin DW
J Cardiovasc Comput Tomogr; 2010; 4(1):55-7. PubMed ID: 20159630
[No Abstract] [Full Text] [Related]
6. Epicardial fat volume quantification by noncontrast CT: Trimming away the fat from the meat.
Partovi S; Arbab-Zadeh A
J Cardiovasc Comput Tomogr; 2015; 9(4):310-2. PubMed ID: 26025046
[No Abstract] [Full Text] [Related]
7. Automated pericardial fat quantification in CT data.
Bandekar AN; Naghavi M; Kakadiaris IA
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():932-5. PubMed ID: 17946011
[TBL] [Abstract][Full Text] [Related]
8. Three-dimensional volumetric assessment with thoracic CT: a reliable approach for noncalcified lung nodules?
Mazzei MA; Scialpi M; Mazzei FG; Giacobone G; Volterrani L
Radiology; 2010 Feb; 254(2):634; author reply 635. PubMed ID: 20093537
[No Abstract] [Full Text] [Related]
9. Quantification of coronary arterial stenoses in CTA using fuzzy distance transform.
Xu Y; Liang G; Hu G; Yang Y; Geng J; Saha PK
Comput Med Imaging Graph; 2012 Jan; 36(1):11-24. PubMed ID: 21555207
[TBL] [Abstract][Full Text] [Related]
10. Quantification of coronary stenosis by dual source computed tomography in patients: a comparative study with intravascular ultrasound and invasive angiography.
Feuchtner G; Loureiro R; Bezerra H; Rocha-Filho JA; Sarwar A; Pflederer T; Marwan M; Petranovic M; Raffel CO; Brady TB; Jang IK; Achenbach S; Cury RC
Eur J Radiol; 2012 Jan; 81(1):83-8. PubMed ID: 21227613
[TBL] [Abstract][Full Text] [Related]
11. Diagnosis of coronary stenosis with CT angiography comparison of automated computer diagnosis with expert readings.
Halpern EJ; Halpern DJ
Acad Radiol; 2011 Mar; 18(3):324-33. PubMed ID: 21215663
[TBL] [Abstract][Full Text] [Related]
12. Iterative reconstruction in cardiac CT.
Naoum C; Blanke P; Leipsic J
J Cardiovasc Comput Tomogr; 2015; 9(4):255-63. PubMed ID: 26088375
[TBL] [Abstract][Full Text] [Related]
13. Diagnostic accuracy of image postprocessing methods for the detection of coronary artery stenoses by using multidetector CT.
Ferencik M; Ropers D; Abbara S; Cury RC; Hoffmann U; Nieman K; Brady TJ; Moselewski F; Daniel WG; Achenbach S
Radiology; 2007 Jun; 243(3):696-702. PubMed ID: 17517929
[TBL] [Abstract][Full Text] [Related]
14. Effect of decrease in heart rate variability on the diagnostic accuracy of 64-MDCT coronary angiography.
Leschka S; Scheffel H; Husmann L; Gämperli O; Marincek B; Kaufmann PA; Alkadhi H
AJR Am J Roentgenol; 2008 Jun; 190(6):1583-90. PubMed ID: 18492910
[TBL] [Abstract][Full Text] [Related]
15. 3D segmentation of coronary arteries based on advanced mathematical morphology techniques.
Bouraoui B; Ronse C; Baruthio J; Passat N; Germain P
Comput Med Imaging Graph; 2010 Jul; 34(5):377-87. PubMed ID: 20153604
[TBL] [Abstract][Full Text] [Related]
16. Relationship of epicardial fat volume from noncontrast CT with impaired myocardial flow reserve by positron emission tomography.
Otaki Y; Hell M; Slomka PJ; Schuhbaeck A; Gransar H; Huber B; Nakazato R; Germano G; Hayes SW; Thomson LE; Friedman JD; Achenbach S; Berman DS; Dey D
J Cardiovasc Comput Tomogr; 2015; 9(4):303-9. PubMed ID: 25977114
[TBL] [Abstract][Full Text] [Related]
17. Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography.
Kirişli HA; Schaap M; Metz CT; Dharampal AS; Meijboom WB; Papadopoulou SL; Dedic A; Nieman K; de Graaf MA; Meijs MF; Cramer MJ; Broersen A; Cetin S; Eslami A; Flórez-Valencia L; Lor KL; Matuszewski B; Melki I; Mohr B; Oksüz I; Shahzad R; Wang C; Kitslaar PH; Unal G; Katouzian A; Örkisz M; Chen CM; Precioso F; Najman L; Masood S; Ünay D; van Vliet L; Moreno R; Goldenberg R; Vuçini E; Krestin GP; Niessen WJ; van Walsum T
Med Image Anal; 2013 Dec; 17(8):859-76. PubMed ID: 23837963
[TBL] [Abstract][Full Text] [Related]
18. Methods of plaque quantification and characterization by cardiac computed tomography.
Maurovich-Horvat P; Ferencik M; Bamberg F; Hoffmann U
J Cardiovasc Comput Tomogr; 2009; 3 Suppl 2():S91-8. PubMed ID: 20129522
[TBL] [Abstract][Full Text] [Related]
19. Automated knowledge-based detection of nonobstructive and obstructive arterial lesions from coronary CT angiography.
Kang D; Slomka PJ; Nakazato R; Arsanjani R; Cheng VY; Min JK; Li D; Berman DS; Kuo CC; Dey D
Med Phys; 2013 Apr; 40(4):041912. PubMed ID: 23556906
[TBL] [Abstract][Full Text] [Related]
20. The challenge of coronary stent imaging.
Nieman K
J Cardiovasc Comput Tomogr; 2010; 4(1):38-40. PubMed ID: 20159626
[No Abstract] [Full Text] [Related]
[Next] [New Search]