Motion Correction Challenge

Can you eliminate breathing from cardiac motion in perfusion MRI?

moco-example-1

Dynamic contrast MR myocardial perfusion imaging has evolved into an accurate technique for the diagnosis of coronary artery disease. T1-weighted images are rapidly acquired every heartbeat to track the uptake and washout of a contrast agent (see the animations). The diagnosis is based on time-series signal intensity data typically from rest (left image) and pharmacological stress (right image). Quantification of myocardial perfusion can be a useful adjunct to visual analysis, and can be valuable in other contexts. To quantify the time-series data, motion-free data is desired.

However, at least 40 seconds of data are typically used to obtain regional perfusion values in the myocardium. Breath-holding becomes a major issue, particularly for patients and during pharmacological stress imaging. The problem is then to handle the inter-frame motion artefact caused by respiration, which makes quantitative analyses difficult.

At STACOM 2014, we organised a challenge for any research group to develop and/or test motion correction algorithms on a common dataset. Particularly, we are interested to test the hypothesis that there is no significant differences in terms of perfusion values from MR images that have been corrected either by non-rigid or rigid methods.

Read more about this study:

B Pontré, BR Cowan, E DiBella, S Kulaseharan, D Likhite, N Noorman, L Tautz, N Tustison, G Wollny, AA Young, and A Suinesiaputra. An Open Benchmark Challenge for Motion Correction of Myocardial Perfusion MRI. IEEE Journal of Biomedical and Health Informatics, 99:1-1, 2016.

Participants

Interactive comparison between participants (hosted by ShinyApps.io)

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The Data

The dataset consists of 10 cases from two centres: the University of Utah and University of Auckland. For each case, a single short axis slice time series at rest and at stress is provided. The Utah datasets were acquired using a saturation-recovery radial turboFLASH sequence at rest and during adenosine infusion (140 μg/kg/min), as described in (DiBella et al. 2012). Contrast was 5 cc/s injection of Multihance (Gd-BOPTA) at 0.02 mmol/kg for the rest and 0.03 mmol/kg for the stress. Four of these subjects have known coronary artery disease. The Auckland cases were acquired using a saturation-recovery Cartesian turboFLASH sequence at rest and during adenosine infusion (140 μg/kg/min). Contrast was 0.04 mmol/kg Omniscan (gadodiamide). None of the Auckland cases have overt coronary disease

Expert-drawn contours only at a reference frame, chosen when contrast is present in both ventricles, will be given to the participants. This will create the same starting point for everyone, and will remove any bias due to the initial contours.

Request MoCo Challenge Data

Data Contributors

Edward DiBella
University of Utah, USA
Alistair Young
University of Auckland, New Zealand