title: Assessment of left ventricular function with single breath-hold highly accelerated cine MRI combined with guide-point modeling.
abstract: OBJECTIVE
  To prospectively assess the performance of highly accelerated cine MRI in multi-orientations combined with a new guide-point modeling post-processing technique (GPM approach) for assessment of left ventricular (LV) function compared to the standard summation of slices method based on a stack of short axis views (SoS approach).
  
  
  METHODS
  33 consecutive patients were examined on a 1.5T scanner with a standard steady state free precession (SSFP) sequence (TR, 3.0 ms; TE, 1.5m; flip angle (FA), 60 degrees ; acceleration factor (AF), 2) analyzed with the SoS method and a highly accelerated, single breath-hold temporal parallel acquisition SSFP sequence (TR, 4.6 ms; TE, 1.1 ms; AF, 3) post-processed with the GPM method. LV function values were measured by two independent readers with different experience in cardiac MRI and compared by using the paired t-test and F-test. Inter- and intraobserver agreements were calculated using Bland-Altman-Plots.
  
  
  RESULTS
  Mean acquisition and post-processing time was significantly shorter with the GPM approach (15s/3 min versus 360 s/6 min). For all LV function parameters interobserver agreement between the experienced and non-experienced reader was significantly improved when the GPM approach was used. However, end-diastolic and end-systolic volumes were larger for the GPM technique when compared to the SoS method (P<0.001), whereas ejection fraction estimation yielded equivalent results (P>0.121). In both readers and for all parameters variances did not differ significantly (P>or=0.409) and the two approaches showed an excellent linear correlation (r>0.951).
  
  
  CONCLUSIONS
  Due to its accurate, fast and reproducible assessment of LV function parameters highly accelerated MRI combined with the GPM technique may become the technique of first choice for assessment of LV function in clinical routine.
authors.affiliation: Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Germany. christina.heilmaier@uni-due.de
authors.forename: Christina
authors.initials: C
authors.lastname: Heilmaier
authors.forename: Kai
authors.initials: K
authors.lastname: Nassenstein
authors.forename: Sonia
authors.initials: S
authors.lastname: Nielles-Vallespin
authors.forename: Sven
authors.initials: S
authors.lastname: Zuehlsdorff
authors.forename: Peter
authors.initials: P
authors.lastname: Hunold
authors.forename: Joerg
authors.initials: J
authors.lastname: Barkhausen
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D008297:Male; D008875:Middle Aged; D008955:Models, Cardiovascular; D015203:Reproducibility of Results; D015656:Respiratory Mechanics; D012680:Sensitivity and Specificity; D018487:Ventricular Dysfunction, Left / Q000175:diagnosis*; D055815:Young Adult