Pranav Bhagirath

43 Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images INTRODUCTION In recent years, the translation of image analysis tools to the clinical environment has remained limited despite their rapid development. Although algorithms are extensively validated in-house following development, it is often not clear how they compare to other existing algorithms. Algorithm designers are faced with the challenging task of cross comparing their algorithm’s performance. The absence of a common pool of data along with evaluation strategies has limited algorithm translation into the clinical workflow. Moreover, as larger cohort data sets become available, the need for reducing themanual labor involved in image analysis is becomingmore important. Benchmarking of algorithms on common datasets provides a fair test-bed for comparison. It is thus a very important activity as we move from bench to the bedside in the medical image processing community. In recent years, several conferences and meetings within the medical image processing community have provided a platform to benchmark algorithms from multiple research groups. These challenges invite participants to submit their algorithms and test them on common data. The results from the test are then evaluated and compared using common evaluation metrics. In the past, a few challenges have been organized, each with its own unique theme. There exists an index of past challenges within the medical image processing community and it can be found on the Cardiac Atlas project page on https://www.cardiacatlas.org/web/guest/ challenges. In the cardiovascular imaging domain, some recent challenges include left atrial fibrosis and scar segmentation (Karim et al., 2013), left ventricle segmentation (Suinesiaputra et al., 2014), right ventricle segmentation (Petitjean et al., 2015), cardiac motion tracking (Tobon-Gomez et al., 2013) and coronary artery stenosis detection (Kirisli et al., 2013). MOTIVATION FOR LEFT VENTRICLE INFARCT SEGMENTATION Cardiovascular magnetic resonance (CMR) imaging can be used to comprehensively assess the viability of myocardium in patients with ischemic heart disease. Myocardial infarction can be visualized and quantified using inversion recovery imaging 10–15 min after intravenous administration of Gadolinium contrast. This imaging technique is known as late Gadolinium enhancement (LGE) imaging. Experimental models have shown excellent agreement between size and shape in LGE CMR and areas of myocardial infarction by histopathology (Kim et al., 1999; Wagner et al., 2003). Infarct size from CMR is also a primary endpoint in many clinical trials (see Desch et al., 2011 for a complete list).