Article

Synthetic computed tomography generation from multi-sequence magnetic resonance images for nasopharyngeal carcinoma treatment planning via cycle-consistent generative adversarial network

2023-07-17

Abstract excerpt

<h4>Background: </h4> and purpose: The reliability of deep-learning-based methods for synthetic CT (SCT) generation depends on magnetic resonance (MR)-CT registration errors and the different anatomical information and contract divergence of various tissues in different sequences MRI. This study aimed at establishing CycleGAN models of different single-sequence MRI images and multi-sequence MRI images and investig...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 32c6593f-8953-5b5c-8fce-85334d58a4dc
DOI: 10.21203/rs.3.rs-3159781/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Synthetic computed tomography generation from multi-sequence magnetic resonance images for nasopharyngeal carcinoma treatment planning via cycle-consistent generative adversarial networkDOI 10.21203/rs.3.rs-3159781/v1Read

CT-to-MRI Synthesis with Dual CycleGAN: Advancing Radiotherapy Planning in Brain Glioblastoma MultiformSemantic proximity Read

CBCT-based synthetic CT generation using a hybrid approach for adaptive radiotherapy of nasopharyngeal carcinomaSemantic proximity Read

Deep-Learning-Based Generation of Synthetic High-Resolution MRI from Low-Resolution MRI for Use in Head and Neck Cancer Adaptive RadiotherapySemantic proximity Read

GAN-Based Brain MRI-to-CT Image Synthesis: A Comparative Review of Cross-Modality Translation MethodsSemantic proximity Read

Prediction of Prognosis in Glioblastoma with Radiomics Features extracted by Synthetic MR Image using Cycle-consistent GANSemantic proximity Read

Brain MRI Technics Images Translation by Generative Adversarial NetworkSemantic proximity Read

Comparative Evaluation of U-Net-Based Conditioned Diffusion Model and Cycle-GAN for Unpaired CT-MRI Brain Image Synthesis with XAI ValidationSemantic proximity Read

A Novel Deep Learning Model, RDB CycleGAN-CBAM for Low-Dose CT Image DenoisingSemantic proximity Read

Generative Adversarial Networks (GANs) for Medical Image Synthesis and Data AugmentationSemantic proximity Read

A Novel Quad-Path GAN for Bidirectional Brain Image Translation Between CT and MRISemantic proximity Read

A NOVEL DEEP LEARNING MODEL, RDB CYCYLEGAN-CBAM FOR LOW-DOSE CT IMAGE DENOISINGSemantic proximity Read

Contrast-enhanced Liver MR Synthesis using Gradient Regularized Multi-Modal Multi-Discrimination Sparse Attention Fusion GANSemantic proximity Read