title: [Examination of self-navigating MR-sequences for perfusion imaging of the kidneys].
abstract: Due to the worldwide increasing number of cases of chronic kidney diseases renal imaging - as a non-invasive technique in magnetic resonance imaging - has become a very important tool for an early diagnosis of probable insufficiencies and malfunction. Especially, dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides a technique to derive physiological parameters like renal blood flow or glomerular filtration rate. Similar to the entire field of abdominal imaging, the major problems are motion artifacts that primarily arise from the patient's respiration. The self-navigating BLADE-sequence with a post processing motion correction is an approach that does not require breath holding and is therefore also easily applicable to patients who are not able to undergo multiple breath hold examinations. In this work, a T(1)-weighted BLADE-sequence was optimized to demonstrate the feasibility of this technique to perfusion imaging. The number of phase-encoding lines of one BLADE has a direct impact on the reduction of motion artifacts. In comparison to standard DCE-MRI sequences, the developed BLADE-sequence with optimized number of phase encoding lines could significantly reduce motion artifacts. A quantitative analysis revealed that up to a 50% displacement of the kidneys could be corrected. Therefore, it was demonstrated that dynamic motion corrected measurements without the need of a breath hold-technique are feasible.
authors.affiliation: Computerunterstützte Klinische Medizin, Fakultät für Medizin Mannheim, Universität Heidelberg, Mannheim, Deutschland. florian.lietzmann@medma.uni-heidelberg.de
authors.forename: Florian
authors.initials: F
authors.lastname: Lietzmann
authors.forename: Frank G
authors.initials: FG
authors.lastname: Zöllner
authors.forename: Henrik J
authors.initials: HJ
authors.lastname: Michaely
authors.forename: Lothar R
authors.initials: LR
authors.lastname: Schad
mesh_terms: D016477:Artifacts; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted; D007668:Kidney / Q000033:anatomy & histology* / Q000502:physiology* / Q000503:physiopathology; D007674:Kidney Diseases / Q000175:diagnosis* / Q000503:physiopathology; D008279:Magnetic Resonance Imaging / Q000379:methods*; D012079:Renal Circulation / Q000502:physiology*; D015203:Reproducibility of Results; D012143:Respiratory Physiological Phenomena