Fully automated pixel-wise myocardial blood flow quantification with first-pass perfusion CMR

نویسندگان

  • Li-Yueh Hsu
  • Matthew Jacobs
  • Mitchel Benovoy
  • Hannah M Conn
  • Andrew E Arai
چکیده

Methods Rest and adenosine stress perfusion imaging was performed on 17 normal volunteers. A saturation recovery SSFP dual-sequence technique was used to acquire three myocardial slices and an arterial input function (AIF) image series. A proton-density weighted image was acquired at the beginning of each series. Fully quantitative perfusion pixel maps were generated by an automated processing method, including non-rigid motion correction, surface-coil intensity correction, AIF and myocardial signal and contrast timing detection, and model constrained deconvolution. The results of the automatically generated MBF pixel maps were compared with manual quantification using an 18-segment model.

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عنوان ژورنال:

دوره 18  شماره 

صفحات  -

تاریخ انتشار 2016