Motion Correction Challenge - Validation Motion Correction Challenge - Validation

We will validate the motion correction algorithms based on flow indices. That is, the registered datasets will be processed to

  1. create time curves for each of 6 tissue regions,
  2. create an arterial input function from the automatically determined blood pool curves within the endocardial border,
  3. subtract off the average of the initial pre-contrast frames and normalize by estimated coil sensitivity differences so that the time curves are proportional to gadolinium concentration, and
  4. fit the data to a compartment model to obtain myocardial blood flow MBF in ml/g/min (Pack & DiBella, 2010)

The score will be the sum of squared differences of the Myocardial Blood Flow (MBF) index with the registration method, compared to MBF of a pseudo-gold standard obtained from manually drawn contours from experienced analysts.

Organisers Organisers
  1. Edward DiBella
    (University of Utah, USA)
  2. Alistair Young
    (University of Auckland, NZ)
  3. Nils Noorman
    (TU Eindhoven, NL)
  4. Avan Suinesiaputra
    (University of Auckland, NZ)
  5. Devravat Likhite
    (University of Utah, USA)
  6. James Small
    (University of Auckland, NZ)
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