Automatic detection and quantification of coronary calcium on 3D CT angiography data

Computer Science - Research and Development

Volumn 26, Issue 1-2, 2011, Pages 117-124

  Temann, Matthias ^a   Vega Higuera, Fernando ^b   Bischoff, Bernhard ^c   Hausleiter, Jörg ^c   Greiner, Günther ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b SIEMENS AG   (Germany)

^c TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Cardiac calcium scoring; Computer aided diagnosis; Quantification; Segmentation

Indexed keywords

EID: 79251614030     PISSN: 18652034     EISSN: 18652042     Source Type: Journal    
DOI: 10.1007/s00450-010-0131-3     Document Type: Conference Paper

References (21)

1. S Achenbach 2007 Cardiac CT: state of the art for the detection of coronary arterial stenosis J Cardiovasc Comput Tomogr 1 3 20 10.1016/j.jcct.2007.04.007 (Pubitemid 47495892)
2. AS Agatston WR Janowitz FJ Hildner NR Zusmer M Viamonte R Detrano 1990 Quantification of coronary artery calcium using ultrafast computed tomography J Am Coll Cardiol 15 827 832 10.1016/0735-1097(90)90282-T
3. JM Bland DG Altmann 1999 Measuring agreement in method comparison studies Stat Methods Med Res 8 135 160 10.1191/096228099673819272 (Pubitemid 29425900)
4. MJ Budoff S Achenbach RS Blumenthal JJ Carr JG Goldin P Greenland AD Guerci JAC Lima DJ Rader GD Rubin LJ Shaw SE Wiegers 2006 Assessment of coronary artery disease by cardiac computed tomography: a scientific statement from the American heart association committee on cardiovascular imaging and intervention, council on cardiovascular radiology and intervention, and committee on cardiac imaging, council on clinical cardiology Circulation 114 1761 1791 10.1161/CIRCULATIONAHA.106.178458 (Pubitemid 44607126)
5. Deschamps T, Cohen L (2001) Fast extraction of minimal paths in 3D images and applications to virtual endoscopy. Med Image Anal 5(4)
6. B Glodny B Helmel T Trieb C Schenk B Taferner V Unterholzer A Strasak J Petersen 2009 A method for calcium quantification by means of CT coronary angiography using 64-multidetector CT: very high correlation with agatston and volume scores Eur Radiol 19 1661 1668 10.1007/s00330-009-1345-2
7. Grady L (2006) Fast, Quality, Segmentation of large volumes-isoperimetric distance trees. In: Leonardis A, Bischof H, Pinz A (eds) Computer vision-ECCV 2006. Lecture notes in computer science, vol 3. Springer, Graz, pp 449-462 (Pubitemid 44029697)
8. Gülsün MA, Tek H (2008) Robust vessel tree modeling. In: Proc MICCAI, pp 602-611
9. M Hadamitzky B Freimuth T Meyer F Hein A Kastrati S Martinoff A Schöning J Hausleiter 2009 Prognostic value of coronary computed tomographic angiography for prediction of cardiac events in patients with suspected coronary artery disease Int J Cardiovasc Imaging 2 4 404 411
10. MHK Hoffmann H Shi BL Schmitz FT Schmid M Lieberknecht R Schulze B Ludwig U Kroschel N Jahnke W Haerer H Brambs AJ Aschoff 2005 Noninvasive coronary angiography with multislice computed tomography JAMA 293 20 2471 2478 10.1001/jama.293.20.2471 (Pubitemid 40705728)
11. S Komatsu A Hirayama Y Omori Y Ueda I Mizote Y Fujisawa M Kiyomoto T Higashide K Kodama 2005 Detection of coronary plaque by computed tomography with a novel plaque analysis system, 'plaque map', and comparison with intravascular ultrasound and angioscopy Circ J 69 1 72 77 10.1253/circj.69.72 (Pubitemid 40139612)
12. H Li A Yezzi 2007 Vessels as 4-D curves: global minimal 4-D paths to extract 3-D tubular surfaces and centerlines IEEE Trans Med Imaging 26 9 1213 1223 10.1109/TMI.2007.903696 10.1109/TMI.2007.903696 (Pubitemid 47383443)
13. WB Meijboom MF Meijs JD Schuijf MJ Cramer NR Mollet CA van Mieghem K Nieman JM van Werkhoven G Pundziute AC Weustink AM de Vos F Pugliese B Rensing JW Jukema JJ Bax M Prokop PA Doevendans MG Hunink GP Krestin PJ de Feyter 2008 Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study J Am Coll Cardiol 52 25 2135 2144 10.1016/j.jacc.2008.08.058 10.1016/j.jacc.2008.08.058
14. D Rinck S Krüger A Reimann M Scheuering 2006 Shape-based segmentation and visualization techniques for evaluation of atherosclerotic plaques in coronary artery disease 6141 SPIE Berlin 61410G 10.1117/12.653248 URL http://link.aip.org/link/?PSI/6141/61410G/1
15. Saur SC, Alkadhi H, Desbiolles L, Szekely G, Cattin PC (2008) Automatic Detection of Calcified Coronary Plaques in Computed Tomography Data Sets. In: Proc of MICCAI. Lecture notes in computer science, vol 5241. Springer, Berlin, pp 170-177
16. Tek H (2008) Automatic coronary tree modeling. The MIDAS journal-grand challenge coronary artery tracking (MICCAI 2008 workshop). http://hdl.handle. net/10380/1426
17. M Temann F Vega-Higuera D Fritz M Scheuering G Greiner 2009 Multi-scale feature extraction for learning-based classification of coronary artery stenosis 7260 SPIE Berlin 726002 10.1117/12.811639 URL http://link.aip.org/link/?PSI/ 7260/726002/1
18. Temann M, Vega-Higuera F, Bischoff B, Hausleiter J, Greiner G (2010) Robust automatic calcium scoring for ct coronary angiography. In: Bildverarbeitung für die Medizin 2010-Algorithmen, Systeme, Anwendungen (Informatik Aktuell). Springer, Berlin, pp 430-434
19. Toumoulin C, Boldak C, Garreau M, Boulmier D (2003) Coronary characterization in multi-slice computed tomography. In: IEEE Comp Cardiol, pp 749-752
20. S Wesarg MF Khan EA Firle 2006 Localizing calcifications in cardiac CT data sets using a new vessel segmentation approach J Digit Imaging 19 3 249 257 10.1007/s10278-006-9947-6 (Pubitemid 44379684)
21. PWF Wilson RB D'Agostino D Levy AM Belanger H Silbershatz WB Kannel 1998 Prediction of coronary heart disease using risk factor categories Circulation 97 1837 1847