Left ventricular (LV) scar dataset
Aim and purpose
Studies have demonstrated the feasibility of late Gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) imaging for guiding the management of patients with sequelae to myocardial infarction, such as ventricular tachycardia and heart failure. Clinical implementation of these developments necessitates a reproducible and reliable segmentation of the infarcted regions.
It is challenging to compare new algorithms for infarct segmentation in the left ventricle (LV) with existing algorithms. Benchmarking datasets with evaluation strategies are much needed to facilitate comparison.
The Dataset
With this dataset, we have aimed to create a benchmarking evaluation framework for future algorithms that segment infarct from LGE CMR of the LV.
The image database consists of 30 LGE CMR images of both humans and pigs that were acquired from two separate imaging centres.
Six widely-used fixed-thresholding methods and five recently developed algorithms are tested on this benchmarking framework.
Further Information
Please visit the challenge home website and for the results please refer to this paper
REFERENCES:
Karim et al. Evaluation of state-of-the-art segmentation algorithms for left ventricle infarct from late Gadolinium enhancement MR images. Published in Medical Image Analysis, Volume 30, 2016.
