@inbook{7124bfc70e6f49e49f703cb3889d42a5,
title = "Synthesising images and labels between mr sequence types with cycleGAN",
abstract = "Real-time (RT) sequences for cardiac magnetic resonance imaging (CMR) have recently been proposed as alternatives to standard cine CMR sequences for subjects unable to hold the breath or suffering from arrhythmia. RT image acquisitions during free breathing produce comparatively poor quality images, a trade-off necessary to achieve the high temporal resolution needed for RT imaging and hence are less suitable in the clinical assessment of cardiac function. We demonstrate the application of a CycleGAN architecture to train autoencoder networks for synthesising cine-like images from RT images and vice versa. Applying this conversion to real-time data produces clearer images with sharper distinctions between myocardial and surrounding tissues, giving clinicians a more precise means of visually inspecting subjects. Furthermore, applying the transformation to segmented cine data to produce pseudo-real-time images allows this label information to be transferred to the real-time image domain. We demonstrate the feasibility of this approach by training a U-net based architecture using these pseudo-real-time images which can effectively segment actual real-time images.",
keywords = "Cardiac MR, Cardiac quantification, Convolutional neural networks, Generative adversarial networks, Image synthesis",
author = "Eric Kerfoot and Esther Puyol-Ant{\'o}n and Bram Ruijsink and Rina Ariga and Ernesto Zacur and Pablo Lamata and Julia Schnabel",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-33391-1_6",
language = "English",
isbn = "9783030333904",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "SPRINGER",
pages = "45--53",
editor = "Qian Wang and Fausto Milletari and Nicola Rieke and Nguyen, {Hien V.} and Badri Roysam and Shadi Albarqouni and Cardoso, {M. Jorge} and Ziyue Xu and Konstantinos Kamnitsas and Vishal Patel and Steve Jiang and Kevin Zhou and Khoa Luu and Ngan Le",
booktitle = "Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data First MICCAI Workshop, DART 2019 and First International Workshop, MIL3ID 2019 Shenzhen, Held in Conjunction with MICCAI 2019 Shenzhen, 2019 Proceedings",
note = "1st MICCAI Workshop on Domain Adaptation and Representation Transfer, DART 2019, and the 1st International Workshop on Medical Image Learning with Less Labels and Imperfect Data, MIL3ID 2019, held in conjunction with 22nd International Conference on Medical Image Computing and Computer- Assisted Intervention, MICCAI 2019 ; Conference date: 13-10-2019 Through 17-10-2019",
}