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Appel, Lieuwe
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Publications (10 of 36) Show all publications
Jonasson, M., Langaas, G., Appel, L., Danfors, T., Fazio, P., Lubberink, M. & Varrone, A. (2018). Blood Flow Dependence of Early [C-11]PE2I and [F-18]FE-PE2I PET SUVR Measurements Used In the Differential Diagnosis of Parkinsonian Disorders. Paper presented at 31st Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), OCT 13-17, 2018, Dusseldorf, GERMANY. European Journal of Nuclear Medicine and Molecular Imaging, 45, S303-S304
Open this publication in new window or tab >>Blood Flow Dependence of Early [C-11]PE2I and [F-18]FE-PE2I PET SUVR Measurements Used In the Differential Diagnosis of Parkinsonian Disorders
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2018 (English)In: European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, E-ISSN 1619-7089, Vol. 45, p. S303-S304Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Springer, 2018
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-372963 (URN)000449266202217 ()
Conference
31st Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), OCT 13-17, 2018, Dusseldorf, GERMANY
Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-01-21Bibliographically approved
Lubberink, M., Widström, C., Jonasson, M., Appel, L., Fällmar, D., Nyholm, D., . . . Danfors, T. (2018). Differential diagnosis of patients with parkinsonian syndrome using multilinear regression to disease-specific C-11-PE2I-PET templates and classification tree learning. Paper presented at 31st Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), OCT 13-17, 2018, Dusseldorf, GERMANY. European Journal of Nuclear Medicine and Molecular Imaging, 45, S409-S409
Open this publication in new window or tab >>Differential diagnosis of patients with parkinsonian syndrome using multilinear regression to disease-specific C-11-PE2I-PET templates and classification tree learning
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2018 (English)In: European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, E-ISSN 1619-7089, Vol. 45, p. S409-S409Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Springer, 2018
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-372967 (URN)000449266204001 ()
Conference
31st Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), OCT 13-17, 2018, Dusseldorf, GERMANY
Available from: 2019-01-10 Created: 2019-01-10 Last updated: 2019-01-10Bibliographically approved
Sousa, J. M., Appel, L., Engström, M., Papadimitriou, S., Nyholm, D., Larsson, E.-M., . . . Lubberink, M. (2018). Evaluation of zero-echo-time attenuation correction for integrated PET/MR brain imaging-comparison to head atlas and 68Ge-transmission-based attenuation correction. EJNMMI Physics, 5(20)
Open this publication in new window or tab >>Evaluation of zero-echo-time attenuation correction for integrated PET/MR brain imaging-comparison to head atlas and 68Ge-transmission-based attenuation correction
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2018 (English)In: EJNMMI Physics, ISSN 2197-7364, E-ISSN 2191-219X, Vol. 5, no 20Article in journal (Refereed) Published
Abstract [en]

Background: MRI does not offer a direct method to obtain attenuation correction maps as its predecessors (stand-alone PET and PET/CT), and bone visualisation is particularly challenging. Recently, zero-echo-time (ZTE) was suggested for MR-based attenuation correction (AC). The aim of this work was to evaluate ZTE- and atlas-AC by comparison to 68Ge-transmission scan-based AC.

Nine patients underwent brain PET/MR and stand-alone PET scanning using the dopamine transporter ligand 11C-PE2I. For each of them, two AC maps were obtained from the MR images: an atlas-based, obtained from T1-weighted LAVA-FLEX imaging with cortical bone inserted using a CT-based atlas, and an AC map generated from proton-density-weighted ZTE images. Stand-alone PET 68Ge-transmission AC map was used as gold standard. PET images were reconstructed using the three AC methods and standardised uptake value (SUV) values for the striatal, limbic and cortical regions, as well as the cerebellum (VOIs) were compared. SUV ratio (SUVR) values normalised for the cerebellum were also assessed. Bias, precision and agreement were calculated; statistical significance was evaluated using Wilcoxon matched-pairs signed-rank test.

Results: Both ZTE- and atlas-AC showed a similar bias of 6–8% in SUV values across the regions. Correlation coefficients with 68Ge-AC were consistently high for ZTE-AC (r 0.99 for all regions), whereas they were lower for atlas-AC, varying from 0.99 in the striatum to 0.88 in the posterior cortical regions. SUVR showed an overall bias of 2.9 and 0.5% for atlas-AC and ZTE-AC, respectively. Correlations with 68Ge-AC were higher for ZTE-AC, varying from 0.99 in the striatum to 0.96 in the limbic regions, compared to atlas-AC (0.99 striatum to 0.77 posterior cortex).

Conclusions: Absolute SUV values showed less variability for ZTE-AC than for atlas-AC when compared to 68Ge-AC, but bias was similar for both methods. This bias is largely caused by higher linear attenuation coefficients in atlas- and ZTE-AC image compared to 68Ge-images. For SUVR, bias was lower when using ZTE-AC than for atlas-AC. ZTE-AC shows to be a more robust technique than atlas-AC in terms of both intra- and inter-patient variability.

Keywords
Atlas-AC, Attenuation correction, PET/MR, Static imaging, ZTE-AC
National Category
Medical Image Processing Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-364358 (URN)10.1186/s40658-018-0220-0 (DOI)000447946100001 ()30345471 (PubMedID)
Funder
Swedish Research Council
Available from: 2018-10-25 Created: 2018-10-25 Last updated: 2019-01-14Bibliographically approved
Sousa, J., Appel, L., Fang, X. T., Engström, M., Khalighi, M., Ahlström, H. & Lubberink, M. (2018). Quantitative accuracy of 15O-water cerebral blood flow images based on penalized likelihood reconstruction. Paper presented at 31st Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), OCT 13-17, 2018, Dusseldorf, GERMANY. European Journal of Nuclear Medicine and Molecular Imaging, 45(Supplement 1), S94-S95
Open this publication in new window or tab >>Quantitative accuracy of 15O-water cerebral blood flow images based on penalized likelihood reconstruction
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2018 (English)In: European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, E-ISSN 1619-7089, Vol. 45, no Supplement 1, p. S94-S95Article in journal, Meeting abstract (Other academic) Published
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-373336 (URN)10.1007/s00259-018-4148-3 (DOI)000449266200165 ()
Conference
31st Annual Congress of the European-Association-of-Nuclear-Medicine (EANM), OCT 13-17, 2018, Dusseldorf, GERMANY
Note

Meeting Abstract: OP-288

Available from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-14Bibliographically approved
Fahlström, M., Lindskog, K., Appel, L., Engström, M., Antoni, G., Kumlien, E., . . . Lubberink, M. (2017). Correlation between regional cerebral blood flow based on simultaneously acquired arterial spin labelling MRI and 15O-water-PET using zero-echo-time-based attenuation correction. Paper presented at Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), JUN 10-14, 2017, Denver, CO. Journal of Nuclear Medicine, 58(S1), Article ID 362.
Open this publication in new window or tab >>Correlation between regional cerebral blood flow based on simultaneously acquired arterial spin labelling MRI and 15O-water-PET using zero-echo-time-based attenuation correction
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2017 (English)In: Journal of Nuclear Medicine, ISSN 0161-5505, E-ISSN 1535-5667, Vol. 58, no S1, article id 362Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Objectives: Arterial spin labelling (ASL) MRI promises clinical value in several common neurological disorders. Its quantitative accuracy and reproducibility, however, need to be further validated, ideally using simultaneously acquired measurements with 15O-water-PET on an integrated PET-MR scanner. However, so far, few studies have attempted this and the inclusion of bone in MR-based attenuation correction for PET has thus far been a challenge, compromising the quantitative accuracy of PET-MR based 15O-water PET data. The aim of the present work was to assess the correlation of ASL- and 15O-water-PET based regional cerebral blood flow (rCBF) values based on simultaneously acquired data, using zero-echo-time (ZTE)-based attenuation correction, as well as to assess the reproducibility of ASL-based rCBF.

Methods: Six subjects underwent 10 min PET scans after automated bolus injection of 400 MBq 15O-water (1 mL/s during 5 s followed by 35 mL saline at 2 mL/s) on a time-of-flight integrated PET-MR scanner (Signa PET-MR, GE Healthcare). Arterial blood radioactivity concentrations were monitored using continuous sampling from the radial artery (Swisstrace Twilite Two). Simultaneously, a 3D FSE pseudo-continuous ASL (3D pCASL) with a spiral read-out as supplied by the scanner manufacturer in the commercial software were acquired using an 8 channel head coil (Invivo Hi-Res Head Coil). In addition, 3D T1-w, ZTE and Dixon fat-water MRI were acquired. The ASL procedure was repeated after 2 h (patients remained in the scanner). Quantifiable ASL-based CBF maps were generated. PET images were reconstructed into 26 frames of increasing durations using time-of-flight OSEM (2 iterations, 28 subsets) and a 5 mm post-filter, with ZTE-based attenuation correction. Blood sampler data were corrected for delay and dispersion and 15O-water-based CBF maps were calculated using a basis function implementation of the single tissue compartment model including a fitted blood volume parameter. CBF maps were co-registered to each patient's T1-w image. 3D T1-w images were segmented and normalised to MNI space using SPM12, and anterior, middle and posterior flow territory volumes of interest (VOIs) were created from a standard template in MNI space and inversely transformed for each patient. In addition, a 45-VOI probabilistic template was applied using PVElab software. Correlations between PET- and ASL-based rCBF values were assessed using regression analysis, and reproducibility of ASL using a paired t-test.

Results: Mean (CI) total brain grey matter CBF values were 67.2 (48.0-86.5) mL/min/100 g for 15O-water-PET and 65.5 (55.7-75.5) mL/min/100 g for ASL. Although correlation and agreement between 15O-water and ASL-based rCBF for individual VOIs in the 45-VOI template were generally poor, significant correlations were found on a grey matter flow territory basis, with R2 ranging from 0.70 in the anterior flow territory to 0.86 in the middle flow territory. rCBF values were significantly reduced between second and first ASL for all flow territories (p<0.01), with a mean decrease of 10%.

Conclusion: A good correlation between regional flow territory CBF values based on ASL and 15O-water-PET was found, using ZTE-based attenuation correction for PET data which takes bone tissue into account. ASL values for regional flow territories may have potential applications in patients with dementia or cerebrovascular diseases affecting blood flow such as moya moya. The decrease of ASL-based rCBF values in the reproducibility study needs to be investigated further to assess whether this is a methodological issue or reflects a true decrease in rCBF. Research Support: Uppsala County Council

National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-333332 (URN)000404949901169 ()
Conference
Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), JUN 10-14, 2017, Denver, CO
Note

Title in WoS: Correlation between regional cerebral blood flow based on simultaneously acquired arterial spin labelling MRI and O-15-water-PET using zero-echo-time-based attenuation correction

Available from: 2017-11-15 Created: 2017-11-15 Last updated: 2017-11-15Bibliographically approved
Jonasson, M., Appel, L., Danfors, T., Nyholm, D., Askmark, H., Frick, A., . . . Lubberink, M. (2017). Development of a clinically feasible [11C]PE2I PET method for differential diagnosis of parkinsonism using reduced scan duration and automated reference region extraction.. American Journal of Nuclear Medicine and Molecular Imaging, 7(6), 263-274
Open this publication in new window or tab >>Development of a clinically feasible [11C]PE2I PET method for differential diagnosis of parkinsonism using reduced scan duration and automated reference region extraction.
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2017 (English)In: American Journal of Nuclear Medicine and Molecular Imaging, ISSN 2160-8407, Vol. 7, no 6, p. 263-274Article in journal (Refereed) Published
Abstract [en]

[11C]PE2I is a highly selective dopamine transporter PET ligand. Parametric images based on dynamic [11C]PE2I scans, showing dopamine transporter availability (BPND) and relative cerebral blood flow (R1), can be used in differential diagnosis of parkinsonism. This work aimed to investigate a shortened scan duration and automated generation of parametric images which are two prerequisites for routine clinical application. Twelve subjects with parkinsonism and seventeen healthy controls underwent 80 min dynamic [11C]PE2I PET scans. BPND and R1 images were generated using cerebellum reference region defined on a co-registered MRI, as well as a supervised cluster analysis (SVCA)-based reference. Initial 20, 30 and 40 min of the scans were extracted and images of standardized uptake value ratio (SUVR) and R1 were computed using MRI- and SVCA-based reference. Correlation was high between striatal 80 min MRI-based BPND and 40 min SVCA-based SUVR-1 (R2=0.95). High correlation was also found between R1 values in striatal and limbic regions (R2≥0.91) whereas correlation was moderate for cortical regions (R2=0.71). The results indicate that dynamic [11C]PE2I scans can be restricted to 40 min and that SVCA can be used for automatic extraction of a reference region. These outcomes will support routine applications of [11C]PE2I PET in clinical settings.

Keywords
PET, [11C]PE2I, parametric images, parkinsonism, supervised clustering
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:uu:diva-340790 (URN)000419593300003 ()29348981 (PubMedID)
Funder
Swedish Research CouncilSwedish Society for Medical Research (SSMF)
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2018-02-21Bibliographically approved
Lubberink, M., Appel, L., Lindskog, K., Danfors, T., Sprycha, M., Daging, J., . . . Antoni, G. (2017). Quantitative assessment of synaptic density using the SV2A ligand C-11-UCBA in humans. Paper presented at 28th International Symposium on Cerebral Blood Flow, Metabolism and Function / 13th International Conference on Quantification of Brain Function with PET, APR 01-04, 2017, Int Soc Cerebral Blood Flow & Metab, Berlin, Germany. Journal of Cerebral Blood Flow and Metabolism, 37, 74-74
Open this publication in new window or tab >>Quantitative assessment of synaptic density using the SV2A ligand C-11-UCBA in humans
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2017 (English)In: Journal of Cerebral Blood Flow and Metabolism, ISSN 0271-678X, E-ISSN 1559-7016, Vol. 37, p. 74-74Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Sage Publications, 2017
National Category
Endocrinology and Diabetes Hematology Neurology
Identifiers
urn:nbn:se:uu:diva-331031 (URN)000400157400107 ()
Conference
28th International Symposium on Cerebral Blood Flow, Metabolism and Function / 13th International Conference on Quantification of Brain Function with PET, APR 01-04, 2017, Int Soc Cerebral Blood Flow & Metab, Berlin, Germany
Available from: 2017-10-11 Created: 2017-10-11 Last updated: 2017-10-11
Lubberink, M., Appel, L., Gaging, J., Lindskog, K., Danfors, T., Larsson, E.-M., . . . Antoni, G. (2017). Tracer kinetic analysis of the SV2A ligand 11C-UCBA as a PET marker for synaptic density in humans. Paper presented at Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), JUN 10-14, 2017, Denver, CO. Journal of Nuclear Medicine, 58(S1), Article ID 631.
Open this publication in new window or tab >>Tracer kinetic analysis of the SV2A ligand 11C-UCBA as a PET marker for synaptic density in humans
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2017 (English)In: Journal of Nuclear Medicine, ISSN 0161-5505, E-ISSN 1535-5667, Vol. 58, no S1, article id 631Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Objectives: Quantitative imaging of the synaptic vesicle glycoprotein 2A (SV2A) with PET can be used as a measure of synaptic density in the human brain (Finnema et al, Science Tr Med 2016), changes of which occur in many neurodegenerative diseases. 11C-UCBA has previously been validated as an SV2A tracer in pigs (Estrada et al, Nucl Med Biol 2016), showing dose-dependent blocking and reversible binding. The aim of the present work was to evaluate tracer kinetic models and simplified methods for quantification of synaptic density using 11C-UCBA in humans.

Methods: Eight subjects (6 epilepsy patients, 2 controls) underwent 90 min PET scans starting with injection of 5 MBq/kg 11C-UCBA on a time-of-flight integrated PET-MR scanner (Signa PET-MR, GE Healthcare). Arterial blood was withdrawn for measurements of whole blood and plasma concentrations and metabolite analysis. Images were reconstructed using zero-echo-time MR-based attenuation correction, accounting for bone attenuation. A probabilistic VOI template was defined on a T1-MRI image, acquired during the PET scan, and transferred to the dynamic PET images. A centrum semiovale VOI was drawn as potential reference tissue. Data were analysed using single-tissue (1T2k), two-tissue irreversible (2T3k) and reversible (2T4k) models, as well as the simplified reference tissue model (SRTM) and plasma- and reference-Logan methods, resulting in total distribution volume (VT) and binding potential (BPND) values, with binding potential both estimated directly and as distribution volume ratio to centrum semiovale (DVR). The optimal compartment model was determined using the Akaike information criterion (AIC). Standardized uptake value ratios (SUVR) at various time points were compared to modelling outcomes using regression analysis.

Results: Plasma and brain kinetics of 11C-UCBA were slow, with peak activity in brain at 70-80 min. Parent fraction was approximately 50% at 90 min. Plasma-input data were best described using the 2T4k model, but this could often not provide robust VT or BPND values. Mean plasma-Logan VT was 24±17. Plasma-Logan DVR using centrum semiovale as reference tissue correlated well with 2T4k DVR (R2 0.94) for those regions where robust DVR values could be determined. Reference-Logan DVR showed good correlation with plasma-Logan DVR (R2 0.72). Plasma-Logan DVR-1 and SUVR-1 images are shown in Figure 1. SUVR for the 40-60 and 70-90 min intervals correlated well with reference-Logan DVR (R2 0.92 and 0.98).

Conclusion: Slow kinetics of 11C-UCBA resulted in poor robustness of outcome parameters of reversible compartment models. However, reference-Logan DVR correlated well with plasma-Logan DVR. SUVR at 70-90 min p.i. correlated well with DVR and may be used as a simplified measure of synaptic density using 11C-UCBA. Research Support: Uppsala County Council

National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-333338 (URN)000404949903032 ()
Conference
Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), JUN 10-14, 2017, Denver, CO
Note

Title in WoS: Tracer kinetic analysis of the SV2A ligand C-11-UCBA as a PET marker for synaptic density in humans

Available from: 2017-11-15 Created: 2017-11-15 Last updated: 2017-11-15Bibliographically approved
Khalighi, M. M., Engström, M., Fan, A., Gulaka, P., Appel, L., Lubberink, M. & Zaharchuk, G. (2017). Validation of an image derived input function estimation method on PET/MR. Paper presented at Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), JUN 10-14, 2017, Denver, CO. Journal of Nuclear Medicine, 58(S1), Article ID 661.
Open this publication in new window or tab >>Validation of an image derived input function estimation method on PET/MR
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2017 (English)In: Journal of Nuclear Medicine, ISSN 0161-5505, E-ISSN 1535-5667, Vol. 58, no S1, article id 661Article in journal, Meeting abstract (Other academic) Published
Abstract [en]

Objectives: The study objective was to validate a recently introduced non-invasive image derived input function (IDIF) estimation method with the gold standard arterial blood sampling.

Methods: Six subjects (31-50 years old) were injected with 408±62 MBq of 15O-water simultaneously with the start of a 10 min PET scan on the SIGNA PET-MR (GE Healthcare, WI, Waukesha). During PET scanning, a sagittal vascular (inhance 3D velocity) MR series was used with the following parameters: TR=8.7 ms, TE=4.1 ms, FOV=24×21.6 cm, slice thickness=3 mm, 32 slices, velocity encoding=40, phase acceleration=2.0, and scan time=1:21 min. The PET list file was unlisted for every second and total true and scatter coincident events were plotted to identify tracer arrival into the brain arteries. Then, a short time frame over the arrival of the tracer to the cervical region was reconstructed to obtain a PET angiogram. The cervical arteries were then segmented using the MR vascular images and PETA images. Spill-over and spill- in artifacts were estimated using PETA images and the actual arterial volume was measured from the MR vascular images. The PET list file was unlisted and images were reconstructed for every 1 s for the first 30 s, every 3 s for the next 30 s, every 5 s for the 2nd minute, every 10 s for the 3rd and 4th minute and every 30 s for 5th to 10th minutes. The AIF was estimated by dividing total counts from the cervical arteries of each frame by the MR-based arterial volume. For each patient, blood samples were continuously drawn from the radial artery at the wrist using a peristaltic pump, and the tracer concentration in the arterial blood was measured using a Twilite two detector (Swisstrace) to estimate the AIF. In order to calculate the AIF at the brain arteries from these blood samples, the delay and dispersion of the arterial input function was corrected using standard PET-based methods. The CBF and distribution volume were calculated using both the IDIF method and the blood samples by minimizing the mean square of the error between the PET observations and model fit using the Nelder-Mead simplex algorithm in MATLAB (Mathworks, Wilmington, MA).

Results: Figure 1 shows the (a) PETA and (b) MR vascular images for one of the patients. The PETA images clearly show the arteries and the extent of the spill-over. Figure 2 compares the AIF curve estimated by the proposed IDIF method and the AIF curve measured by the blood samples. The comparison shows excellent correspondence between the IDIF method and the gold standard blood sampling method with 9% and 11% difference for the 1st pass and the entire AIF, respectively. The IDIF captures the AIF peak correctly and has increased signal-to-noise ratio compared to the blood sampling method. The delay and the dispersion of the AIF curve is nearly identical between the two methods. The CBF over the whole brain was measured 29.5±8.7 and 27.0±14 ml/s/100g with the AIF measured by IDIF method and blood samples, respectively with a mean difference of 14% between the two methods. The volume distribution over the whole brain was measured 0.5±0.1 for both methods with a mean difference of 15% between them.

Conclusion: As the results show, the proposed method is capable of determining a high fidelity IDIF from simultaneous PET/MRI data. Having a “blood-free” method that obviates the need for direct arterial sampling is of benefit to both investigators and their subjects, because of the high costs, inconvenience, and potential risks associated with arterial cannulation. It has applications beyond 15O-water PET, enabling pharmacokinetic modeling to be performed that is required for quantitative PET tracer studies. Research Support: GE Healthcare, Stanford University Lucas Center, Uppsala University.

National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
urn:nbn:se:uu:diva-333335 (URN)000404949903061 ()
Conference
Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), JUN 10-14, 2017, Denver, CO
Available from: 2017-11-15 Created: 2017-11-15 Last updated: 2017-11-15Bibliographically approved
Lubberink, M., Khalighi, M. M., Appel, L., Engstrom, M., Antoni, G. & Zaharchuk, G. (2017). Validation of an image-derived input function method for O-15-water PET/MR brain scans. Paper presented at 28th International Symposium on Cerebral Blood Flow, Metabolism and Function / 13th International Conference on Quantification of Brain Function with PET, APR 01-04, 2017, Int Soc Cerebral Blood Flow & Metab, Berlin, GERMANY. Journal of Cerebral Blood Flow and Metabolism, 37, 80-81
Open this publication in new window or tab >>Validation of an image-derived input function method for O-15-water PET/MR brain scans
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2017 (English)In: Journal of Cerebral Blood Flow and Metabolism, ISSN 0271-678X, E-ISSN 1559-7016, Vol. 37, p. 80-81Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Sage Publications, 2017
National Category
Endocrinology and Diabetes Hematology Neurology
Identifiers
urn:nbn:se:uu:diva-331032 (URN)000400157400116 ()
Conference
28th International Symposium on Cerebral Blood Flow, Metabolism and Function / 13th International Conference on Quantification of Brain Function with PET, APR 01-04, 2017, Int Soc Cerebral Blood Flow & Metab, Berlin, GERMANY
Note

Supplement: 1, Meeting Abstract: BPS03-3

Available from: 2017-10-11 Created: 2017-10-11 Last updated: 2017-10-11
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