Automated vs manual delineations of regions of interest- a comparison in commercially available perfusion MRI software

BMC Medical Imaging

Volumn 12, Issue , 2012, Pages

  Galinovic, Ivana ^a   Ostwaldt, Ann Christin ^a   Soemmer, Carina ^a   Bros, Helena ^a   Hotter, Benjamin ^a   Brunecker, Peter ^a   Fiebach, Jochen B ^a  

^a CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

Author keywords

Acute ischemic stroke; Magnetic resonance imaging; Perfusion MRI

Indexed keywords

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BLOOD FLOW VELOCITY; BRAIN CIRCULATION; BRAIN ISCHEMIA; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; HUMAN; IMAGE ENHANCEMENT; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; OBSERVER VARIATION; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BLOOD FLOW VELOCITY; BRAIN ISCHEMIA; CEREBROVASCULAR CIRCULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SOFTWARE VALIDATION;

EID: 84865313143     PISSN: None     EISSN: 14712342     Source Type: Journal    
DOI: 10.1186/1471-2342-12-16     Document Type: Article

References (8)

1. Hacke W, Albers G, Al-Rawi Y, Bogousslavsky J, Davalos A, Eliasziw M, et al. The Desmoteplase in Acute Ischemic Stroke Trial (DIAS): a phase II MRI-based 9-hour window acute stroke thrombolysis trial with intravenous desmoteplase. Stroke 2005, 36:66-73. 10.1161/01.STR.0000149938.08731.2c, 15569863.
2. Kohrmann M, Juttler E, Fiebach JB, Huttner HB, Siebert S, Schwark C, et al. MRI versus CT-based thrombolysis treatment within and beyond the 3 h time window after stroke onset: a cohort study. Lancet Neurol 2006, 5:661-667. 10.1016/S1474-4422(06)70499-9, 16857571.
3. Galinovic I, Ostwaldt AC, Soemmer C, Bros H, Hotter B, Brunecker P, et al. Search for a map and threshold in perfusion MRI to accurately predict tissue fate: a protocol for assessing lesion growth in patients with a persistent vessel occlusion. Cerebrovasc Dis 2011, 32:186-193. 10.1159/000328663, 21849778.
4. Olivot JM, Mlynash M, Thijs VN, Kemp S, Lansberg MG, Wechsler L, et al. Optimal Tmax threshold for predicting penumbral tissue in acute stroke. Stroke 2009, 40:469-475. 10.1161/STROKEAHA.108.526954, 2670783, 19109547.
5. Kosior RK, Kosior JC, Frayne R. Improved dynamic susceptibility contrast (DSC)-MR perfusion estimates by motion correction. J Magn Reson Imaging 2007, 26:1167-72. 10.1002/jmri.21128, 17896370.
6. Kim J, Leirab EC, Callison RC, Ludwiga B, Moritani T, Magnotta VA, Madsen MT. Toward fully automated processing of dynamic susceptibility contrast perfusion MRI for acute ischemic cerebral stroke. Comput Methods Programs Biomed 2010, 98:204-213. 10.1016/j.cmpb.2009.12.005, 20060614.
7. Yamada K, Wu O, Gonzalez RG, Bakker D, Copen WA, Weisskoff RM, Rosen BR, Yagi K, Nishimura T, Sorensen AG. Magnetic resonance perfusion-weighted imaging of acute cerebral infarction: effect of the calculation methods and underlying vasculopathy. Stroke 2002, 33(1):87-94. 10.1161/hs0102.101893, 11779894.
8. Galinovic I, Brunecker P, Ostwaldt AC, Soemmer C, Hotter B, Fiebach JB. Fully automated postprocessing carries a risk of substantial overestimation of perfusion deficits in acute stroke magnetic resonance imaging. Cerebrovasc Dis 2011, 31:408-413. 10.1159/000323212, 21346342.