Finding the optimal deconvolution algorithm for MR perfusion in carotid stenosis: Correlations with angiographic cerebral circulation time

• Published in: Journal of neuroradiology Vol. 43; no. 4; pp. 290 - 296
• Main Authors: Lin, Chung-Jung, Hung, Sheng-Che, Chang, Feng-Chi, Guo, Wan-Yuo, Luo, Chao-Bao, Kowarschik, Markus, Chu, Wei-Fa, Liou, Adrian J.Y. Kang
• Format: Journal Article
• Language: English
• Published: France Elsevier Masson SAS 01.07.2016
• Subjects: Aged; Aged, 80 and over; Algorithms; Carotid stenosis; Carotid Stenosis - diagnostic imaging; Carotid Stenosis - pathology; Cerebral Angiography - methods; Cerebral blood flow; Cerebral circulation time; Contrast Media - therapeutic use; Deconvolution algorithm; Female; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Male; MR perfusion; Quantitative DSA; Radiology; Retrospective Studies; Time density curve; Carotid stenosis; MR perfusion; CBF; MRP; Time density curve; MTT; Cerebral circulation time; Deconvolution algorithm; DSA; Cerebral blood flow; CCT; CBV; Quantitative DSA; Digital subtraction angiography; Mean transit time; Cerebral blood volume
• ISSN: 0150-9861
• DOI: 10.1016/j.neurad.2016.02.002

The aim of our study is to explore the impacts of different deconvolution algorithms on correlations between CBF, MTT, CBV, TTP, Tmax from MR perfusion (MRP) and angiography cerebral circulation time (CCT). Retrospectively, 30 patients with unilateral carotid stenosis, and available pre-stenting MRP and angiography were included for analysis. All MRPs were conducted in a 1.5-T MR scanner. Standard singular value decomposition, block-circulant, and two delay-corrected algorithms were used as the deconvolution methods. All angiographies were obtained in the same bi-plane flat-detector angiographic machine. A contrast bolus of 12mL was administrated via angiocatheter at a rate of 8mL/s. The acquisition protocols were the same for all cases. CCT was defined as the difference between time to peak from the cavernous ICA and the parietal vein in lateral view. Pearson correlations were calculated for CCT and CBF, MTT, CBV, TTP, Tmax. The correlation between CCT and MTT was highest with Tmax (r=0.65), followed by MTT (r=0.60), CBF (r=−0.57), and TTP (r=0.33) when standard singular value decomposition was used. No correlation with CBV was noted. MRP using a singular value decomposition algorithm confirmed the feasibility of quantifying cerebral blood flow deficit in steno-occlusive disease within the angio-room. This approach might further improve patient safety by providing immediate cerebral hemodynamics without extraradiation and iodine contrast.