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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Boscolo Galazzo, Ilaria; Storti, Silvia Francesca; Pizzini, Francesca Benedetta; Tomazzoli, Claudio; +1 Authors
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    Authors: Storti, Silvia Francesca; Boscolo Galazzo, Ilaria; Pizzini, Francesca; Menegaz, Gloria;
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IRIS - Università de...arrow_drop_down
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    Authors: Moss Y. Zhao; Lena Václavů; Esben Thade Petersen; Bart J. Biemond; +5 Authors

    PurposeTo compare cerebral blood flow (CBF) and cerebrovascular reserve (CVR) quantification from Turbo‐QUASAR (quantitative signal targeting with alternating radiofrequency labeling of arterial regions) arterial spin labeling (ASL) and single post‐labeling delay pseudo‐continuous ASL (PCASL).MethodsA model‐based method was developed to quantify CBF and arterial transit time (ATT) from Turbo‐QUASAR, including a correction for magnetization transfer effects caused by the repeated labeling pulses. Simulations were performed to assess the accuracy of the model‐based method. Data from an in vivo experiment conducted on a healthy cohort were retrospectively analyzed to compare the CBF and CVR (induced by acetazolamide) measurement from Turbo‐QUASAR and PCASL on the basis of global and regional differences. The quality of the two ASL data sets was examined using the coefficient of variation (CoV).ResultsThe model‐based method for Turbo‐QUASAR was accurate for CBF estimation (relative error was 8% for signal‐to‐noise ratio = 5) in simulations if the bolus duration was known. In the in vivo experiment, the mean global CVR estimated by Turbo‐QUASAR and PCASL was between 63% and 64% and not significantly different. Although global CBF values of the two ASL techniques were not significantly different, regional CBF differences were found in deep gray matter in both pre‐ and postacetazolamide conditions. The CoV of Turbo‐QUASAR data was significantly higher than PCASL.ConclusionBoth ASL techniques were effective for quantifying CBF and CVR, despite the regional differences observed. Although CBF estimated from Turbo‐QUASAR demonstrated a higher variability than PCASL, Turbo‐QUASAR offers the advantage of being able to measure and control for variation in ATT.

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    Europe PubMed Central
    Article . 2019
    Data sources: PubMed Central
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    Magnetic Resonance in Medicine
    Article . 2020
    Data sources: NARCIS
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    Article . 2020
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    Magnetic Resonance in Medicine
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    Magnetic Resonance in Medicine; Oxford University Research Archive
    Other literature type . Article . 2019 . Peer-reviewed
    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Europe PubMed Centra...arrow_drop_down
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      Article . 2019
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      Magnetic Resonance in Medicine
      Article . 2020
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      Magnetic Resonance in Medicine; Oxford University Research Archive
      Other literature type . Article . 2019 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    The ability to visualize the perfusion territories of the brain feeding arteries is important for many clinical applications. Recently, selective arterial spin labeling (ASL) MRI has been introduced as the first method capable to visualize the perfusion territories of the brain in-vivo. In this thesis we describe the possibilities of selective ASL MRI and show the importance of perfusion territory information in studying the cerebral circulation in both patients with and without steno-occlusive disease. This most important findings of this thesis are twofold. Firstly, we demonstrate that the perfusion territories of the brain feeding arteries are considerably variable. Secondly, the variation in perfusion territories is mainly caused by anatomical variants of the circle of Willis, large artery steno-occlusive disease, or the combination of both. Thus far, the cerebral vascular territories are generally described as relatively invariant. Numerous standard atlases and textbooks show schematic drawings of the ‘normal’ territorial distribution. Most of these drawings are based on combinations of postmortem studies and assume a symmetrical and negligible variable territorial distribution. In contrast to these post-mortem studies, we demonstrated in-vivo that the variability of the cerebral perfusion territories is significantly greater than was previously assumed. The finding that the configuration of the circle of Willis strongly affects the extent of the cerebral perfusion territories seems relevant since up to 65% of healthy control subjects have an anatomical variant type. In addition to the large variability at the level of the circle of Willis, our results demonstrated that the presence of a severe stenosis or occlusion at the level of the arteries in the neck has major consequences for the distribution of the cerebral perfusion territories. Obstructive arterial disease at the level of the arteries in the neck is found in about 8% in the general healthy population, up to 30% in patients with symptomatic cerebral ischemia. The large variability of the cerebral territorial distribution demonstrated in this thesis has major implications for the clinical diagnosis and treatment of stroke. For example, physicians considering whether to treat acute stroke often use anatomic CT or MR images to assess affected vascular territories, and to determine whether infarction is embolic or hypotensive in nature. However, the results of this thesis demonstrate that neither the territories affected nor the nature of stroke can be accurately diagnosed on the basis of such anatomic studies. Currently used schematic drawings of the cerebral flow territories are based on standard atlases, and therefore give no certainty on the extent of the territories in the individual patient. To know more accurately the location of the perfusion territories, one should visualize them. In conclusion, the interaction of stenosis severity, multi-vessel disease, and vascular anatomy defines the location and the extent of the perfusion territories of the brain feeding arteries. To relate focal brain lesions to underlying perfusion territories in individual cases, knowledge of the territorial distribution is essential

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    Doctoral thesis . 2007
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      Doctoral thesis . 2007
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    Authors: Nery, F. (Fabio); Buchanan, C.E. (Charlotte E.); Harteveld, A.A. (Anita A.); Odudu, A. (Aghogho); +22 Authors

    Objectives This study aimed at developing technical recommendations for the acquisition, processing and analysis of renal ASL data in the human kidney at 1.5 T and 3 T feld strengths that can promote standardization of renal perfusion measurements and facilitate the comparability of results across scanners and in multi-centre clinical studies. Methods An international panel of 23 renal ASL experts followed a modifed Delphi process, including on-line surveys and two in-person meetings, to formulate a series of consensus statements regarding patient preparation, hardware, acquisition protocol, analysis steps and data reporting. Results Fifty-nine statements achieved consensus, while agreement could not be reached on two statements related to patient preparation. As a default protocol, the panel recommends pseudo-continuous (PCASL) or fow-sensitive alternating inversion recovery (FAIR) labelling with a single-slice spin-echo EPI readout with background suppression and a simple but robust quantifcation model. Discussion This approach is considered robust and reproducible and can provide renal perfusion images of adequate quality and SNR for most applications. If extended kidney coverage is desirable, a 2D multislice readout is recommended. These recommendations are based on current available evidence and expert opinion. Nonetheless they are expected to be updated as more data become available, since the renal ASL literature is rapidly expanding.

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    Authors: Schmid, S.;

    In this thesis I have described the introduction and validation of a new spatially non-selective arterial spin labeling (SNS-ASL) method in healthy subjects. Acceleration selective ASL (AccASL) was compared with pseudo continuous ASL (pCASL), a traditional ASL method, as well as other spatially non-selective ASL methods (velocity selective ASL, as introduced by Wong et al with two velocity-selective blocks, and using only a single labeling module), and with [15O]-H2O PET as the gold standard for brain perfusion imaging. By combining an AccASL with VSASL labeling module, the location of label origin in the vascular tree was assessed. Furthermore, time-encoded pCASL was explored in combination with SNS-ASL labeling modules to obtain insight into labeling at multiple post labeling delays (PLD). Finally, te-pCASL was combined with T2-Relaxation-under-Spin-Tagging (TRUST) to provide a time efficient method to distinguish spin compartments based on their T2-values.

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    LUMC Scholarly Publications; NARCIS
    Other literature type . Doctoral thesis . 2017
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    Doctoral thesis . 2017
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      LUMC Scholarly Publications; NARCIS
      Other literature type . Doctoral thesis . 2017
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  • Authors: Moore, Candace Makeda; Crocioni, Giulia; Bodor, Dani; Petr, Jan; +2 Authors

    Commits bfffcb8: zenodo badge (Candace Makeda Moore, MD) #126 2d4ea8b: add back mac for next release (Candace Makeda Moore, MD) #126 85e021a: experiment top based (Candace Makeda Moore, MD) #127 33fc742: mri models (Candace Makeda Moore, MD) #127 dfa6ae5: experiment 3 (Candace Makeda Moore, MD) #127 fbd4321: ml3 directions (Candace Makeda Moore, MD) #127 5605701: filtered top (Candace Makeda Moore, MD) #127 a83aa30: update with perceptron (Candace Makeda Moore, MD) #127 978e364: frozen save (Candace Makeda Moore, MD) #127 95bd358: extratree and elasticnet (Candace Makeda Moore, MD) #127 41877f8: neurcombat rebuilding (Candace Makeda Moore, MD) #127 5a4ba83: harmony (Candace Makeda Moore, MD) #127 701fd9c: finish neuroharm (Candace Makeda Moore, MD) #127 8b187d9: close stuff later (Candace Makeda Moore, MD) #127 1feb8e2: add experi4-6 (Candace Makeda Moore, MD) #127 bf49009: why (Candace Makeda Moore, MD) #127 83495a8: besties (Candace Makeda Moore, MD) #127 ce80a44: notebook fiasco (Candace Makeda Moore, MD) #127 28ec822: fiascolast2 (Candace Makeda Moore, MD) #127 3ac39cd: still ion 6 (Candace Makeda Moore, MD) #127 760b3e4: distributions and logs (Candace Makeda Moore, MD) #127 38a25ee: regraph (Candace Makeda Moore, MD) #127 b579fc8: check harm (Candace Makeda Moore, MD) #127 c899e2c: districheck (Candace Makeda Moore, MD) #127 6c3fc91: log too harmony (Candace Makeda Moore, MD) #127 7914e82: found bug (Candace Makeda Moore, MD) #127 dd8d9b8: experi789 (Candace Makeda Moore, MD) #127 f8bf0af: shorten neuroharm (Candace Makeda Moore, MD) #127 daea687: neuroharmsynth (Candace Makeda Moore, MD) #127 521a49f: new log_harm (Candace Makeda Moore, MD) #127 c908e24: onzeker (Candace Makeda Moore, MD) #127 721461f: start open nested (Candace Makeda Moore, MD) #127 c8e0ad8: changes to new opennested enviro (Candace Makeda Moore, MD) #127 73bdcb3: made opnmri and top (Candace Makeda Moore, MD) #127 4faae96: notebooks for opn based experi (Candace Makeda Moore, MD) #127 16262a6: filepaths (Candace Makeda Moore, MD) #127 a0c0293: save sex (Candace Makeda Moore, MD) #127 48cd557: opnnestmodelsgood (Candace Makeda Moore, MD) #127 8f1418a: unarmonized on less (Candace Makeda Moore, MD) #127 461360d: add harmonized minus wmh info (Candace Makeda Moore, MD) #127 16e906e: less series (Candace Makeda Moore, MD) #127 c6ff84a: found bug (Candace Makeda Moore, MD) #127 4f3b459: neurocombat better (Candace Makeda Moore, MD) #127 7b2aa06: build tables (Candace Makeda Moore, MD) #127 be66e19: lint and start viz funct (Candace Makeda Moore, MD) #127 8ac142c: fix experi 1 (Candace Makeda Moore, MD) #127 50e6d4d: fix seperate generated_transform_matrix docu (Candace Makeda Moore, MD) #127 6181d85: add homemade (Candace Makeda Moore, MD) #127 09fd540: functions to library for poly remapping (Candace Makeda Moore, MD) #127 7782aba: try different sphinx inset order on ci (Candace Makeda Moore, MD) #127 ec856bf: Try to install imageio before it's installed as a dependency of scikit-learn (Candace Makeda Moore, MD) #127 b783af4: Upgrade github pages action (CI) due to deprecation warnings (Candace Makeda Moore, MD) #127 ed114bd: fix docu (Candace Moore) #134 f320eb1: quick docu format fix (Candace Moore) #134 25869da: add sabre unharmonized 12 (Candace Makeda Moore, MD) #133 10f6355: first notebook done (Candace Makeda Moore, MD) #133 eeb1e52: done 1 and 2 (Candace Makeda Moore, MD) #133 622cbda: start 3 (Candace Makeda Moore, MD) #133 86ef1dd: start 3 (Candace Makeda Moore, MD) #133 44224ae: finish3 (Candace Makeda Moore, MD) #133 fdcdf13: 3waysabre (Candace Makeda Moore, MD) #133 4cae523: experi 4 (Candace Makeda Moore, MD) #133 28fe05f: 5n (Candace Makeda Moore, MD) #133 f892a3d: 6n (Candace Makeda Moore, MD) #133 58e77ad: 3 way open nested (Candace Makeda Moore, MD) #133 ba034ed: 3way opn (Candace Makeda Moore, MD) #133 a62d31d: start 10n (Candace Makeda Moore, MD) #133 9c7707f: 10n continues (Candace Makeda Moore, MD) #133 244d65f: Insight dataset assembly (Candace Makeda Moore, MD) #133 c406518: renew pcv2c on Insight (Candace Makeda Moore, MD) #133 eacf92d: full experiment1 (Candace Makeda Moore, MD) #133 870a952: add stratified and shuffled cross validation for linear regressor as example (gcroci2) #133 ae134f0: y_fold and dataframes (Candace Makeda Moore, MD) #133 0dced7b: functioning kfold average (Candace Makeda Moore, MD) #133 e193186: moving exp3 (Candace Makeda Moore, MD) #133 86d3f60: proper sav files (Candace Makeda Moore, MD) #133 ca2a593: 3wayneuro requ (Candace Makeda Moore, MD) #133 5d72245: new neurocombat harm (Candace Makeda Moore, MD) #133 26d7d14: proper presplit (Candace Makeda Moore, MD) #133 d72f760: open nested requested (Candace Makeda Moore, MD) #133 a0e513c: all 3 includes open nested (Candace Makeda Moore, MD) #133 20965c5: 3 as quested (Candace Makeda Moore, MD) #133 509ab6e: quested2 (Candace Makeda Moore, MD) #133 5105ca0: update open nexted (Candace Makeda Moore, MD) #133 6bb4f91: final 3s (Candace Makeda Moore, MD) #133 4bd91a0: delete accidental files (Candace Makeda Moore, MD) #133 1493122: proper 1a (Candace Makeda Moore, MD) #133 c65ff0a: second half1a (Candace Makeda Moore, MD) #133 b34e6ad: Improve format of CITATION.cff (Giulia Crocioni) #133 3573d2c: open neuroharm2 way (Candace Makeda Moore, MD) #133 c38acd7: finish 1b (Candace Makeda Moore, MD) #133 71663b7: all ones done (Candace Makeda Moore, MD) #133 1f749ca: harmonize topmri to sabe and insight seperately neuroharm (Candace Makeda Moore, MD) #133 22811a5: all mess (Candace Makeda Moore, MD) #133 e8e9373: fix name (Candace Makeda Moore, MD) #133 9c40d91: open nested half on notebookds2 (Candace Makeda Moore, MD) #133 108ab0d: save proper file names minor change opennested 3 way (Candace Makeda Moore, MD) #133 0419d61: fix bug in opnenested topmti versus insight harm (Candace Makeda Moore, MD) #133 6da1e5a: start open nested for 2 (Candace Makeda Moore, MD) #133 46310ab: finishing 2s not done (Candace Makeda Moore, MD) #133 202bb09: finish second experis (Candace Makeda Moore, MD) #133 bc80063: folder cleaning (Candace Makeda Moore, MD) #133 75f0bd6: correction to dataset assembly (Candace Makeda Moore, MD) #133 59a80b1: fix neur harmonizations (Candace Makeda Moore, MD) #133 469d443: delete notes (Candace Makeda Moore, MD) #133 16c903a: add before afters (Candace Makeda Moore, MD) #133 1e4cdfe: Update cvasl/seperated.py (Candace Makeda Moore, MD) #133 acfcd03: Update cvasl/seperated.py (Candace Makeda Moore, MD) #133 ed57670: try again (Candace Moore) #133 ea68799: add piccolo theme (Candace Moore) #133 393c321: try better more general shuffle split (Candace Moore) #133 99e3a0b: intermediate (Candace Moore) #133 ccb9264: ultra 1 cat shuffle (Candace Moore) #133 e091442: lint ultimate (Candace Moore) #133 4bd46f9: finished ones (Candace Moore) #133 475ab48: finish new function to notebooks (Candace Moore) #133 b20b195: lint finish (Candace Moore) #133 f883017: ontomain (Candace Moore) #139 dcfedfe: reater than on python (Candace Moore) #139 8c37897: check on new pandas version (Candace Moore) #139 d8a3a70: splitting experiments (Candace Moore) #140 085451b: add docs (Candace Moore) #140 6a4b475: update changelog (Candace Moore) #140 64915c6: update changelog on coming graphing functions (Candace Moore) #140 66d7b78: improve documentation and testing (Candace Moore) #140 1f13b73: cleaner with copy (Candace Moore) #140 fd0c1d9: further doc clean on harmony (Candace Moore) #140 17b55fa: update splitter to log values (Candace Moore) #140 c054d03: add graphs via new environment (Candace Moore) #140 bf4ac44: working on graphing function (Candace Moore) #140 46c4532: graphing harmony functions done (Candace Moore) #140 ff208a8: changelog (Candace Moore) #140 9635758: try seaborn in install (Candace Moore) #140 8f35773: touch up env, genaralize graphing (Candace Moore) #140 41af4c5: further minor graph updates (Candace Moore) #140 e54b8a4: add binning function (Candace Moore) #140 447ee02: freeze abstract notebooks in own folder (Candace Moore) #140 ba795c4: improve bin, start redo experi with better kfold (Candace Moore) #140 6bebd90: improve binning update notebook (Candace Moore) #140 26d0763: add static binning (Candace Moore) #140 1035e31: add log and no log results (Candace Moore) #140 bb27ab6: justify names, add 1d template (Candace Moore) #140 2b115c5: add testingK, fix real tests plus (Candace Moore) #140 c64fea2: 2 factor kfolding and test improvement (Candace Moore) #140 cbcea22: finalize changelog (Candace Moore) #140 b76453f: ready to fuse (Candace Moore) #140 913f954: better doc and testing (Candace Moore) #140 0c6298e: splitter split to algorithms neuro and open (Candace Moore) #140 e5972c3: update with another parameterized test (Candace Moore) #140 a67ee7c: add commandline sex recoding (Candace Moore) #140 c7d2a00: add command line logging over a folder (Candace Moore) #140 25f7524: commmand line loging columns (Candace Moore) #140 7593852: cleaning off unwanted folders (Candace Moore) #140 2d75a20: fix cli bug (Candace Moore) #140 f1cadc1: clean env names (Candace Moore) #140 0f9e2be: command line log on single file (Candace Moore) #140 fdb040f: notes on technical (Candace Moore) #140 If you use this software, you should cite it.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Laar, Peter Jan van;

    The ability to visualize the perfusion territories of the brain feeding arteries is important for many clinical applications. Recently, selective arterial spin labeling (ASL) MRI has been introduced as the first method capable to visualize the perfusion territories of the brain in-vivo. In this thesis we describe the possibilities of selective ASL MRI and show the importance of perfusion territory information in studying the cerebral circulation in both patients with and without steno-occlusive disease. This most important findings of this thesis are twofold. Firstly, we demonstrate that the perfusion territories of the brain feeding arteries are considerably variable. Secondly, the variation in perfusion territories is mainly caused by anatomical variants of the circle of Willis, large artery steno-occlusive disease, or the combination of both. Thus far, the cerebral vascular territories are generally described as relatively invariant. Numerous standard atlases and textbooks show schematic drawings of the ‘normal’ territorial distribution. Most of these drawings are based on combinations of postmortem studies and assume a symmetrical and negligible variable territorial distribution. In contrast to these post-mortem studies, we demonstrated in-vivo that the variability of the cerebral perfusion territories is significantly greater than was previously assumed. The finding that the configuration of the circle of Willis strongly affects the extent of the cerebral perfusion territories seems relevant since up to 65% of healthy control subjects have an anatomical variant type. In addition to the large variability at the level of the circle of Willis, our results demonstrated that the presence of a severe stenosis or occlusion at the level of the arteries in the neck has major consequences for the distribution of the cerebral perfusion territories. Obstructive arterial disease at the level of the arteries in the neck is found in about 8% in the general healthy population, up to 30% in patients with symptomatic cerebral ischemia. The large variability of the cerebral territorial distribution demonstrated in this thesis has major implications for the clinical diagnosis and treatment of stroke. For example, physicians considering whether to treat acute stroke often use anatomic CT or MR images to assess affected vascular territories, and to determine whether infarction is embolic or hypotensive in nature. However, the results of this thesis demonstrate that neither the territories affected nor the nature of stroke can be accurately diagnosed on the basis of such anatomic studies. Currently used schematic drawings of the cerebral flow territories are based on standard atlases, and therefore give no certainty on the extent of the territories in the individual patient. To know more accurately the location of the perfusion territories, one should visualize them. In conclusion, the interaction of stenosis severity, multi-vessel disease, and vascular anatomy defines the location and the extent of the perfusion territories of the brain feeding arteries. To relate focal brain lesions to underlying perfusion territories in individual cases, knowledge of the territorial distribution is essential

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  • Authors: Moore, Candace Makeda; Bodor, Dani; Petr, Jan; Dijsselhof, Mathijs; +1 Authors

    Commits 7256ba5: fix token (Candace Makeda Moore, MD) #121 ca7d2ee: fix tag ci (Candace Makeda Moore, MD) #121 67ee250: 310all (Candace Makeda Moore, MD) #121 666574c: badge (Candace Makeda Moore, MD) #122 7dffaae: zenodo (Candace Makeda Moore, MD) #122 0e3d268: fix ci (Candace Makeda Moore, MD) #123 d5fc214: skip egg upload (Candace Makeda Moore, MD) #124 e161f3e: no mac build (Candace Makeda Moore, MD) #125

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Boscolo Galazzo, Ilaria; Storti, Silvia Francesca; Pizzini, Francesca Benedetta; Tomazzoli, Claudio; +1 Authors
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IRIS - Università de...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Storti, Silvia Francesca; Boscolo Galazzo, Ilaria; Pizzini, Francesca; Menegaz, Gloria;
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ IRIS - Università de...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Moss Y. Zhao; Lena Václavů; Esben Thade Petersen; Bart J. Biemond; +5 Authors

    PurposeTo compare cerebral blood flow (CBF) and cerebrovascular reserve (CVR) quantification from Turbo‐QUASAR (quantitative signal targeting with alternating radiofrequency labeling of arterial regions) arterial spin labeling (ASL) and single post‐labeling delay pseudo‐continuous ASL (PCASL).MethodsA model‐based method was developed to quantify CBF and arterial transit time (ATT) from Turbo‐QUASAR, including a correction for magnetization transfer effects caused by the repeated labeling pulses. Simulations were performed to assess the accuracy of the model‐based method. Data from an in vivo experiment conducted on a healthy cohort were retrospectively analyzed to compare the CBF and CVR (induced by acetazolamide) measurement from Turbo‐QUASAR and PCASL on the basis of global and regional differences. The quality of the two ASL data sets was examined using the coefficient of variation (CoV).ResultsThe model‐based method for Turbo‐QUASAR was accurate for CBF estimation (relative error was 8% for signal‐to‐noise ratio = 5) in simulations if the bolus duration was known. In the in vivo experiment, the mean global CVR estimated by Turbo‐QUASAR and PCASL was between 63% and 64% and not significantly different. Although global CBF values of the two ASL techniques were not significantly different, regional CBF differences were found in deep gray matter in both pre‐ and postacetazolamide conditions. The CoV of Turbo‐QUASAR data was significantly higher than PCASL.ConclusionBoth ASL techniques were effective for quantifying CBF and CVR, despite the regional differences observed. Although CBF estimated from Turbo‐QUASAR demonstrated a higher variability than PCASL, Turbo‐QUASAR offers the advantage of being able to measure and control for variation in ATT.

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    Europe PubMed Central
    Article . 2019
    Data sources: PubMed Central
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    Magnetic Resonance in Medicine
    Article . 2020
    Data sources: NARCIS
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    Article . 2020
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    Magnetic Resonance in Medicine
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    Magnetic Resonance in Medicine; Oxford University Research Archive
    Other literature type . Article . 2019 . Peer-reviewed
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      Magnetic Resonance in Medicine; Oxford University Research Archive
      Other literature type . Article . 2019 . Peer-reviewed
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    The ability to visualize the perfusion territories of the brain feeding arteries is important for many clinical applications. Recently, selective arterial spin labeling (ASL) MRI has been introduced as the first method capable to visualize the perfusion territories of the brain in-vivo. In this thesis we describe the possibilities of selective ASL MRI and show the importance of perfusion territory information in studying the cerebral circulation in both patients with and without steno-occlusive disease. This most important findings of this thesis are twofold. Firstly, we demonstrate that the perfusion territories of the brain feeding arteries are considerably variable. Secondly, the variation in perfusion territories is mainly caused by anatomical variants of the circle of Willis, large artery steno-occlusive disease, or the combination of both. Thus far, the cerebral vascular territories are generally described as relatively invariant. Numerous standard atlases and textbooks show schematic drawings of the ‘normal’ territorial distribution. Most of these drawings are based on combinations of postmortem studies and assume a symmetrical and negligible variable territorial distribution. In contrast to these post-mortem studies, we demonstrated in-vivo that the variability of the cerebral perfusion territories is significantly greater than was previously assumed. The finding that the configuration of the circle of Willis strongly affects the extent of the cerebral perfusion territories seems relevant since up to 65% of healthy control subjects have an anatomical variant type. In addition to the large variability at the level of the circle of Willis, our results demonstrated that the presence of a severe stenosis or occlusion at the level of the arteries in the neck has major consequences for the distribution of the cerebral perfusion territories. Obstructive arterial disease at the level of the arteries in the neck is found in about 8% in the general healthy population, up to 30% in patients with symptomatic cerebral ischemia. The large variability of the cerebral territorial distribution demonstrated in this thesis has major implications for the clinical diagnosis and treatment of stroke. For example, physicians considering whether to treat acute stroke often use anatomic CT or MR images to assess affected vascular territories, and to determine whether infarction is embolic or hypotensive in nature. However, the results of this thesis demonstrate that neither the territories affected nor the nature of stroke can be accurately diagnosed on the basis of such anatomic studies. Currently used schematic drawings of the cerebral flow territories are based on standard atlases, and therefore give no certainty on the extent of the territories in the individual patient. To know more accurately the location of the perfusion territories, one should visualize them. In conclusion, the interaction of stenosis severity, multi-vessel disease, and vascular anatomy defines the location and the extent of the perfusion territories of the brain feeding arteries. To relate focal brain lesions to underlying perfusion territories in individual cases, knowledge of the territorial distribution is essential

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    Doctoral thesis . 2007
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    Authors: Nery, F. (Fabio); Buchanan, C.E. (Charlotte E.); Harteveld, A.A. (Anita A.); Odudu, A. (Aghogho); +22 Authors

    Objectives This study aimed at developing technical recommendations for the acquisition, processing and analysis of renal ASL data in the human kidney at 1.5 T and 3 T feld strengths that can promote standardization of renal perfusion measurements and facilitate the comparability of results across scanners and in multi-centre clinical studies. Methods An international panel of 23 renal ASL experts followed a modifed Delphi process, including on-line surveys and two in-person meetings, to formulate a series of consensus statements regarding patient preparation, hardware, acquisition protocol, analysis steps and data reporting. Results Fifty-nine statements achieved consensus, while agreement could not be reached on two statements related to patient preparation. As a default protocol, the panel recommends pseudo-continuous (PCASL) or fow-sensitive alternating inversion recovery (FAIR) labelling with a single-slice spin-echo EPI readout with background suppression and a simple but robust quantifcation model. Discussion This approach is considered robust and reproducible and can provide renal perfusion images of adequate quality and SNR for most applications. If extended kidney coverage is desirable, a 2D multislice readout is recommended. These recommendations are based on current available evidence and expert opinion. Nonetheless they are expected to be updated as more data become available, since the renal ASL literature is rapidly expanding.

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