RATIONALE AND OBJECTIVES: A fully automated left ventricle segmentation method for the functional analysis of cine short axis (SAX) magnetic resonance (MR) images was developed, and its performance evaluated with 133 studies of subjects with diverse pathology: ischemic heart failure (n=34), non-ischemic heart failure (n=30), hypertrophy (n=32), and healthy (n=37). MATERIALS AND METHODS: The proposed automatic method locates the left ventricle (LV), then for each image detects the contours of the endocardium, epicardium, papillary muscles and trabeculations. Manually and automatically determined contours and functional parameters were compared quantitatively. RESULTS: There was no significant difference between automatically and manually determined end systolic volume (ESV), end diastolic volume (EDV), ejection fraction (EF) and left ventricular mass (LVM) for each of the four groups (paired sample t-test, α=0.05). The automatically determined functional parameters showed high correlations with those derived from manual contours, and the Bland-Altman analysis biases were small (1.51 mL, 1.69 mL, -0.02%, -0.66 g for ESV, EDV, EF and LVM, respectively). CONCLUSIONS: The proposed technique automatically and rapidly detects endocardial, epicardial, papillary muscles' and trabeculations' contours providing accurate and reproducible quantitative MRI parameters, including LV mass and EF.
RATIONALE AND OBJECTIVES: A fully automated left ventricle segmentation method for the functional analysis of cine short axis (SAX) magnetic resonance (MR) images was developed, and its performance evaluated with 133 studies of subjects with diverse pathology: ischemic heart failure (n=34), non-ischemic heart failure (n=30), hypertrophy (n=32), and healthy (n=37). MATERIALS AND METHODS: The proposed automatic method locates the left ventricle (LV), then for each image detects the contours of the endocardium, epicardium, papillary muscles and trabeculations. Manually and automatically determined contours and functional parameters were compared quantitatively. RESULTS: There was no significant difference between automatically and manually determined end systolic volume (ESV), end diastolic volume (EDV), ejection fraction (EF) and left ventricular mass (LVM) for each of the four groups (paired sample t-test, α=0.05). The automatically determined functional parameters showed high correlations with those derived from manual contours, and the Bland-Altman analysis biases were small (1.51 mL, 1.69 mL, -0.02%, -0.66 g for ESV, EDV, EF and LVM, respectively). CONCLUSIONS: The proposed technique automatically and rapidly detects endocardial, epicardial, papillary muscles' and trabeculations' contours providing accurate and reproducible quantitative MRI parameters, including LV mass and EF.
Entities:
Keywords:
Left ventricular ejection fraction; automated border detection; cardiac magnetic resonance imaging; image processing; left ventricular mass (LVM)
Authors: S C Mitchell; B P Lelieveldt; R J van der Geest; H G Bosch; J H Reiber; M Sonka Journal: IEEE Trans Med Imaging Date: 2001-05 Impact factor: 10.048
Authors: Mehmet Uzümcü; Rob J van der Geest; Cory Swingen; Johan H C Reiber; Boudewijn P F Lelieveldt Journal: Invest Radiol Date: 2006-01 Impact factor: 6.016
Authors: Hans C van Assen; Mikhail G Danilouchkine; Alejandro F Frangi; Sebastián Ordás; Jos J M Westenberg; Johan H C Reiber; Boudewijn P F Lelieveldt Journal: Med Image Anal Date: 2006-01-24 Impact factor: 8.545
Authors: Chris A Cocosco; Wiro J Niessen; Thomas Netsch; Evert-Jan P A Vonken; Gunnar Lund; Alexander Stork; Max A Viergever Journal: J Magn Reson Imaging Date: 2008-08 Impact factor: 4.813
Authors: Theano Papavassiliu; Harald P Kühl; Meike Schröder; Tim Süselbeck; Olga Bondarenko; Christoph K Böhm; Aernout Beek; Mark M B Hofman; Albert C van Rossum Journal: Radiology Date: 2005-06-13 Impact factor: 11.105
Authors: Matthias Hammon; Rolf Janka; Peter Dankerl; Martin Glöckler; Ferdinand J Kammerer; Sven Dittrich; Michael Uder; Oliver Rompel Journal: Pediatr Radiol Date: 2014-11-19
Authors: Akos Varga-Szemes; Giuseppe Muscogiuri; U Joseph Schoepf; Julian L Wichmann; Pal Suranyi; Carlo N De Cecco; Paola M Cannaò; Matthias Renker; Stefanie Mangold; Mary A Fox; Balazs Ruzsics Journal: Eur Radiol Date: 2015-08-13 Impact factor: 5.315
Authors: Avan Suinesiaputra; Mihir M Sanghvi; Nay Aung; Jose Miguel Paiva; Filip Zemrak; Kenneth Fung; Elena Lukaschuk; Aaron M Lee; Valentina Carapella; Young Jin Kim; Jane Francis; Stefan K Piechnik; Stefan Neubauer; Andreas Greiser; Marie-Pierre Jolly; Carmel Hayes; Alistair A Young; Steffen E Petersen Journal: Int J Cardiovasc Imaging Date: 2017-08-23 Impact factor: 2.357