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Synthesizing VERDICT maps from standard DWI data using GANs

Chiou, E; Valindria, V; Giganti, F; Punwani, S; Kokkinos, I; Panagiotaki, E; (2021) Synthesizing VERDICT maps from standard DWI data using GANs. In: Computational Diffusion MRI. (pp. pp. 58-67). Springer: Cham, Switzerland. Green open access

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Abstract

VERDICT maps have shown promising results in clinical settings discriminating normal from malignant tissue and identifying specific Gleason grades non-invasively. However, the quantitative estimation of VERDICT maps requires a specific diffusion-weighed imaging (DWI) acquisition. In this study we investigate the feasibility of synthesizing VERDICT maps from standard DWI data from multi-parametric (mp)-MRI by employing conditional generative adversarial networks (GANs). We use data from 67 patients who underwent both standard DWI-MRI and VERDICT MRI and rely on correlation analysis and mean squared error to quantitatively evaluate the quality of the synthetic VERDICT maps. Quantitative results show that the mean values of tumour areas in the synthetic and the real VERDICT maps were strongly correlated while qualitative results indicate that our method can generate realistic VERDICT maps that could supplement mp-MRI assessment for better diagnosis.

Type: Proceedings paper
Title: Synthesizing VERDICT maps from standard DWI data using GANs
Event: International Workshop on Computational Diffusion MRI - International Conference on Medical Imaging and Computer Assisted Interventions
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-87615-9_6
Publisher version: https://doi.org/10.1007/978-3-030-87615-9_6
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: VERDICT maps; DWI-MRI; Prostate Cancer; Generative adversarial networks (GANs)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10134724
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