scholarly journals Arterial input function and gray matter cerebral blood volume measurements in children

2015 ◽  
Vol 43 (4) ◽  
pp. 981-989 ◽  
Author(s):  
Stephanie B. Withey ◽  
Jan Novak ◽  
Lesley MacPherson ◽  
Andrew C. Peet
Keyword(s):  
Blood Volume ◽  
Gray Matter ◽  
Cerebral Blood Volume ◽  
Arterial Input Function ◽  
Input Function ◽  
Volume Measurements

scholarly journals Radiation Doses of Cerebral Blood Volume Measurements Using C-Arm CT: A Phantom Study

2013 ◽  
Vol 35 (6) ◽  
pp. 1073-1077 ◽  
Author(s):  
W. F. Chu ◽  
C. J. Lin ◽  
W. S. Chen ◽  
S. C. Hung ◽  
C. F. Chiu ◽  
...  
Keyword(s):  
Blood Volume ◽  
Cerebral Blood Volume ◽  
Phantom Study ◽  
Radiation Doses ◽  
Volume Measurements

scholarly journals Clinical and Radiological Correlates of Reduced CBF Measured Using MRI

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 317-318
Author(s):  
Vincent N Thijs ◽  
Tobias Neumann-Haefelin ◽  
Michael E Moseley ◽  
Michael P Marks ◽  
Gregory W Albers
Keyword(s):  
Symptom Onset ◽  
Cerebral Blood Volume ◽  
Arterial Input Function ◽  
Mean Transit Time ◽  
Input Function ◽  
Lesion Volume ◽  
Time Curve ◽  
Measured Concentration ◽  
Ischemic Lesion ◽  
Adc Values

11 Background and purpose Methods for determining CBF using IV bolus tracking MRI have recently become available. Reduced apparent diffusion coefficient (ADC) values of brain tissue are associated with reductions in regional cerebral blood flow (rCBF). We studied the clinical and radiological features of patients with severe reductions of rCBF on MRI and analysed the relationship between reduced rCBF and ADC. Methods We studied patients with non-lacunar acute ischemic stroke in whom PWI and DWI MRI were performed within 7 hours after symptom onset. A PWI>DWI mismatch of >20% was required. Maps of rCBF, cerebral blood volume (rCBV) and mean transit time (rMTT) were generated after deconvoluting the measured concentration-time curve with the arterial input function using singular value decomposition. The ischemic lesion was outlined on the MTT map and the region of interest (ROI) transferred to the rCBF and rCBV map. ADC-maps were calculated. ADC lesions were defined as regions with ADC values ≤ 550 μm m2/sec. We compared the characteristics of patients with ischemic lesions that had a relative CBF of <50% to the contralateral hemisphere to patients with lesions that had relative CBF of >50%. Characteristics analysed included age, time to MRI, baseline NIHSS, mean ADC, DWI lesion volume, PWI lesion volume and absolute mismatch volume. Results Fifteen patients with an initial PWI>DWI mismatch of >20% were included. Ten had lesions with rCBF of >50% (median 60%) and five patients had rCBF of <50% (median 27.7%). Patients with rCBF <50% had lower ADC values (median 431 μmm2/sec versus 506 μ mm2/sec, p=0.028), larger DWI volumes (median 75.6 cm 3 versus 8.6 cm 3 , p=0.001) and larger PWI lesions as defined by the MTT volume (median 193 cm 3 versus 69 cm 3 , p=0.028) and more severe baseline NIHSS scores (median 18 versus 9, p=0.019). The rMTT and rCBV of the lesions were similar in both groups, as were the age, the absolute mismatch volume and the time from symptom onset to MRI. Conclusion These data indicate that ischemic lesions with severe CBF reductions, measured with new MRI techniques, are associated with a lower mean ADC, larger DWI and PWI lesion volumes and a higher NIHSS score.

Computer subtraction in regional cerebral blood-volume measurements using the EMI-scanner

1976 ◽  
Vol 49 (580) ◽  
pp. 330-334 ◽  
Author(s):  
E. Zilkha ◽  
G. Ladurner ◽  
Linnette D. Miff ◽  
G. H. Du Boulay ◽  
J. Marshall
Keyword(s):  
Blood Volume ◽  
Cerebral Blood Volume ◽  
Regional Cerebral Blood ◽  
Regional Cerebral Blood Volume ◽  
Volume Measurements ◽  
Emi Scanner

scholarly journals Validation of an automatic reference region extraction for the quantification of [18F]DPA-714 in dynamic brain PET studies

2017 ◽  
Vol 38 (2) ◽  
pp. 333-346 ◽  
Author(s):  
Daniel García-Lorenzo ◽  
Sonia Lavisse ◽  
Claire Leroy ◽  
Catriona Wimberley ◽  
Benedetta Bodini ◽  
...  
Keyword(s):  
Gray Matter ◽  
Clustering Algorithm ◽  
Arterial Input Function ◽  
Neurological Diseases ◽  
Input Function ◽  
Translocator Protein ◽  
Reference Region ◽  
Supervised Clustering ◽  
Region Extraction ◽  
Highly Correlated

There is a great need for a non-invasive methodology enabling the quantification of translocator protein overexpression in PET clinical imaging. [18F]DPA-714 has emerged as a promising translocator protein radiotracer as it is fluorinated, highly specific and returned reliable quantification using arterial input function. Cerebellum gray matter was proposed as reference region for simplified quantification; however, this method cannot be used when inflammation involves cerebellum. Here we adapted and validated a supervised clustering (supervised clustering algorithm (SCA)) for [18F]DPA-714 analysis. Fourteen healthy subjects genotyped for translocator protein underwent an [18F]DPA-714 PET, including 10 with metabolite-corrected arterial input function and three for a test–retest assessment. Two-tissue compartmental modelling provided [Formula: see text] estimates that were compared to either [Formula: see text] or [Formula: see text] generated by Logan analysis (using supervised clustering algorithm extracted reference region or cerebellum gray matter). The supervised clustering algorithm successfully extracted a pseudo-reference region with similar reliability using classes that were defined using either all subjects, or separated into HAB and MAB subjects. [Formula: see text], [Formula: see text] and [Formula: see text] were highly correlated (ICC of 0.91 ± 0.05) but [Formula: see text] were ∼26% higher and less variable than [Formula: see text]. Reproducibility was good with 5% variability in the test–retest study. The clustering technique for [18F]DPA-714 provides a simple, robust and reproducible technique that can be used for all neurological diseases.

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