PURPOSE: The feasibility of high-resolution arterial spin labeling (ASL) perfusion imaging of the kidneys was tested and proven at 3 Tesla using a flow-sensitive alternating inversion recovery (FAIR) true fast imaging in steady precession (TrueFISP) technique. MATERIALS AND METHODS: Kidney perfusion maps of six healthy volunteers and two patients were acquired using a clinical 3-Tesla whole-body scanner. An ASL sequence with FAIR spin preparation and a TrueFISP signal detection strategy was adapted for high-resolution perfusion imaging of the kidneys at 3 Tesla. To avoid banding artifacts in TrueFISP images, which are generally prominent at 3 Tesla, a frequency scout was implemented. Perfusion maps with an in-plane resolution of 1.5 mm were recorded in transverse and coronal orientation. For fast mapping of whole-kidney perfusion, an in-plane resolution of 2 mm was applied. RESULTS: In all volunteers and patients, high-resolution perfusion images with excellent image quality were able to be obtained in a measuring time of approximately 10 minutes. The whole kidney was able to be mapped with good image quality in less than 10 minutes. For all slices, a suitable frequency offset made it possible to reproduce the kidneys without TrueFISP artifacts. Perfusion values of the renal cortex ranged from 250 ml/100 g/min up to 400 ml/100 g/min (mean cortical perfusion right kidney 316 +/- 43, left 336 +/- 40). CONCLUSION: High-resolution ASL perfusion images of the whole kidney were able to be obtained with good image quality by means of a 3 Tesla MR setting within a clinically applicable measuring time, thus providing an alternative to conventional perfusion imaging involving potentially nephrotoxic contrast media.
PURPOSE: The feasibility of high-resolution arterial spin labeling (ASL) perfusion imaging of the kidneys was tested and proven at 3 Tesla using a flow-sensitive alternating inversion recovery (FAIR) true fast imaging in steady precession (TrueFISP) technique. MATERIALS AND METHODS: Kidney perfusion maps of six healthy volunteers and two patients were acquired using a clinical 3-Tesla whole-body scanner. An ASL sequence with FAIR spin preparation and a TrueFISP signal detection strategy was adapted for high-resolution perfusion imaging of the kidneys at 3 Tesla. To avoid banding artifacts in TrueFISP images, which are generally prominent at 3 Tesla, a frequency scout was implemented. Perfusion maps with an in-plane resolution of 1.5 mm were recorded in transverse and coronal orientation. For fast mapping of whole-kidney perfusion, an in-plane resolution of 2 mm was applied. RESULTS: In all volunteers and patients, high-resolution perfusion images with excellent image quality were able to be obtained in a measuring time of approximately 10 minutes. The whole kidney was able to be mapped with good image quality in less than 10 minutes. For all slices, a suitable frequency offset made it possible to reproduce the kidneys without TrueFISP artifacts. Perfusion values of the renal cortex ranged from 250 ml/100 g/min up to 400 ml/100 g/min (mean cortical perfusion right kidney 316 +/- 43, left 336 +/- 40). CONCLUSION: High-resolution ASL perfusion images of the whole kidney were able to be obtained with good image quality by means of a 3 Tesla MR setting within a clinically applicable measuring time, thus providing an alternative to conventional perfusion imaging involving potentially nephrotoxic contrast media.
Authors: Petros Martirosian; Andreas Boss; Christina Schraml; Nina F Schwenzer; Hansjörg Graf; Claus D Claussen; Fritz Schick Journal: Eur J Nucl Med Mol Imaging Date: 2010-08 Impact factor: 9.236
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Authors: Nathan S Artz; Elizabeth A Sadowski; Andrew L Wentland; Thomas M Grist; Songwon Seo; Arjang Djamali; Sean B Fain Journal: Magn Reson Imaging Date: 2010-09-17 Impact factor: 2.546
Authors: Fabio Nery; Charlotte E Buchanan; Anita A Harteveld; Aghogho Odudu; Octavia Bane; Eleanor F Cox; Katja Derlin; H Michael Gach; Xavier Golay; Marcel Gutberlet; Christoffer Laustsen; Alexandra Ljimani; Ananth J Madhuranthakam; Ivan Pedrosa; Pottumarthi V Prasad; Philip M Robson; Kanishka Sharma; Steven Sourbron; Manuel Taso; David L Thomas; Danny J J Wang; Jeff L Zhang; David C Alsop; Sean B Fain; Susan T Francis; María A Fernández-Seara Journal: MAGMA Date: 2019-12-12 Impact factor: 2.533