Literature DB >> 18227536

Brain perfusion territory imaging: methods and clinical applications of selective arterial spin-labeling MR imaging.

Peter Jan van Laar1, Jeroen van der Grond, Jeroen Hendrikse.   

Abstract

The ability to visualize perfusion territories in the brain is important for many clinical applications. The aim of this overview is to highlight the possibilities of selective arterial spin-labeling (ASL) magnetic resonance (MR) imaging techniques in the assessment of the perfusion territories of the cerebral arteries. In the past decade, the optimization of selective ASL MR techniques to image the cerebral perfusion territories has resulted in numerous labeling approaches and an increasing number of clinical applications. In this article, the methods and clinical applications of selective ASL MR imaging are described and the importance of perfusion territory information in studying cerebral hemodynamic changes in patients with cerebrovascular disease is shown. In specific patient groups with cerebrovascular disease, such as acute stroke, large artery steno-occlusive disease, and arteriovenous malformation, selective ASL MR imaging provides valuable hemodynamic information when added to current MR protocols. As a noninvasive tool for perfusion territory measurements, selective ASL may contribute to a better understanding of the relation between the vasculature, perfusion, and brain function.

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Year:  2008        PMID: 18227536     DOI: 10.1148/radiol.2462061775

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  37 in total

1.  Assessment of cerebral perfusion from bypass arteries using magnetic resonance regional perfusion imaging in patients with moyamoya disease.

Authors:  Mika Kitajima; Toshinori Hirai; Yoshinori Shigematsu; Hirofumi Fukuoka; Akira Sasao; Tomoko Okuda; Motohiro Morioka; Yutaka Kai; Yasuyuki Yamashita
Journal:  Jpn J Radiol       Date:  2010-12-30       Impact factor: 2.374

2.  Arterial spin labeling in neuroimaging.

Authors:  Sasitorn Petcharunpaisan; Joana Ramalho; Mauricio Castillo
Journal:  World J Radiol       Date:  2010-10-28

Review 3.  Advances in magnetic resonance neuroimaging.

Authors:  Michael E Moseley; Chunlei Liu; Sandra Rodriguez; Thomas Brosnan
Journal:  Neurol Clin       Date:  2009-02       Impact factor: 3.806

4.  Cerebral blood flow measurement in neurosurgery.

Authors:  David Mette; Rhonda Strunk; Mario Zuccarello
Journal:  Transl Stroke Res       Date:  2011-02-12       Impact factor: 6.829

5.  Vascular Pathology as a Potential Therapeutic Target in SCI.

Authors:  Richard L Benton; Theo Hagg
Journal:  Transl Stroke Res       Date:  2011-11-29       Impact factor: 6.829

6.  Perfusion in rat brain at 7 T with arterial spin labeling using FAIR-TrueFISP and QUIPSS.

Authors:  Emilio Esparza-Coss; Jarek Wosik; Ponnada A Narayana
Journal:  Magn Reson Imaging       Date:  2010-03-29       Impact factor: 2.546

7.  Robustness and reproducibility of flow territories defined by planning-free vessel-encoded pseudocontinuous arterial spin-labeling.

Authors:  S Gevers; R P Bokkers; J Hendrikse; C B Majoie; D A Kies; W M Teeuwisse; A J Nederveen; M J van Osch
Journal:  AJNR Am J Neuroradiol       Date:  2011-03-10       Impact factor: 3.825

8.  Arterial spin labeling measurements of cerebral perfusion territories in experimental ischemic stroke.

Authors:  Renata F Leoni; Fernando F Paiva; Byeong-Teck Kang; Erica C Henning; George C Nascimento; Alberto Tannús; Dráulio B De Araújo; Afonso C Silva
Journal:  Transl Stroke Res       Date:  2011-11-16       Impact factor: 6.829

9.  New insights in perinatal arterial ischemic stroke by assessing brain perfusion.

Authors:  Pia Wintermark; Simon K Warfield
Journal:  Transl Stroke Res       Date:  2011-11-10       Impact factor: 6.829

Review 10.  Use of magnetic resonance imaging to predict outcome after stroke: a review of experimental and clinical evidence.

Authors:  Tracy D Farr; Susanne Wegener
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

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