Document Detail

Improving perfusion quantification in Arterial Spin Labeling for delayed arrival times by using optimized acquisition schemes.
MedLine Citation:
PMID:  25125192     Owner:  NLM     Status:  Publisher    
OBJECTIVE: The improvement in Arterial Spin Labeling (ASL) perfusion quantification, especially for delayed bolus arrival times (BAT), with an acquisition redistribution scheme mitigating the T1 decay of the label in multi-TI ASL measurements is investigated. A multi inflow time (TI) 3D-GRASE sequence is presented which adapts the distribution of acquisitions accordingly, by keeping the scan time constant.
MATERIAL AND METHODS: The MR sequence increases the number of averages at long TIs and decreases their number at short TIs and thus compensating the T1 decay of the label. The improvement of perfusion quantification is evaluated in simulations as well as in-vivo in healthy volunteers and patients with prolonged BATs due to age or steno-occlusive disease.
RESULTS: The improvement in perfusion quantification depends on BAT. At healthy BATs the differences are small, but become larger for longer BATs typically found in certain diseases. The relative error of perfusion is improved up to 30% at BATs>1500ms in comparison to the standard acquisition scheme.
CONCLUSION: This adapted acquisition scheme improves the perfusion measurement in comparison to standard multi-TI ASL implementations. It provides relevant benefit in clinical conditions that cause prolonged BATs and is therefore of high clinical relevance for neuroimaging of steno-occlusive diseases.
Johanna Kramme; Johannes Gregori; Volker Diehl; Vince I Madai; Federico C von Samson-Himmelstjerna; Markus Lentschig; Jan Sobesky; Matthias Günther
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-8-11
Journal Detail:
Title:  Zeitschrift fur medizinische Physik     Volume:  -     ISSN:  1876-4436     ISO Abbreviation:  Z Med Phys     Publication Date:  2014 Aug 
Date Detail:
Created Date:  2014-8-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100886455     Medline TA:  Z Med Phys     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014. Published by Elsevier GmbH.
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