Fast and Automatic Quantification of Cardiac Perfusion MRI

نویسندگان

  • A. Weng
  • C. O. Ritter
  • J. Lotz
  • M. J. Beer
  • D. Hahn
  • H. Köstler
چکیده

Methods 75 datasets including 37 patients (25 after revasculated infarctions, 12 after radiation therapy in the treatment of Hodgkin’s disease) and 38 healthy volunteers were evaluated. 18 examinations were performed under adenosine induced stress. Perfusion series were acquired in a 1.5T scanner (Siemens) using an ECG-gated saturation recovery true-FISP sequence with the following parameters: Repetition time: 2.5 ms 2.6 ms, echo time: 1.1 ms, inversion time: 108 ms – 110 ms, flip angle: 48° 50°, field of view: 340 mm – 360 mm, slice thickness = 8mm. The contrast agent (CA) bolus was tracked by acquisition of 40 consecutive images over 40 heartbeats. All images were reconstructed to a 256 x 256 matrix. For quantification of myocardial blood flow the prebolus technique [1] with 1ml / 4 ml Gd-based CA was applied. The series were automatically motion corrected using the algorithm based on the technique proposed Adluru et al. [2]. This algorithm circumvents the problem of varying contrast by calculating a model image for each single original image. The original images were registered to the corresponding model images by minimizing the mean square difference between original and model through rigid transformation. This process was performed iteratively. The motion corrected images were segmented automatically using the software Developer Life (Definiens, Munich, Germany). One segmentation template for 8 myocardial sectors and two ROIs in the ventricles was determined and was applied to all motion corrected images. These signal intensity time courses have been evaluated using baselineand contamination correction [3]. For comparison all datasets were segmented manually to obtain the signal intensity time courses from 8 sectors in the myocardium and from the blood pools. The signal intensity time courses were evaluated the same way as the automatically obtained signal intensity time courses. For investigation of the interobserver variability 10 representative datasets were manually evaluated by two different observers.

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تاریخ انتشار 2008