MRI to CT Translation with GANs (2019-01-16T00:00:00.000000Z)

TL;DR

Three state of the art convolutional neural network (CNN) and generative adversarial network (GAN) models are described and implemented where statistics and visual results of two of them are reported.

Abstract

We present a detailed description and reference implementation of preprocessing steps necessary to prepare the public Retrospective Image Registration Evaluation (RIRE) dataset for the task of magnetic resonance imaging (MRI) to X-ray computed tomography (CT) translation. Furthermore we describe and implement three state of the art convolutional neural network (CNN) and generative adversarial network (GAN) models where we report statistics and visual results of two of them.

Authors

Shadi Albarqouni

6 papers

B. Kaiser

1 papers

TL;DR

Abstract

Authors

References29 items

Generative Adversarial Networks

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research

Deep MR to CT Synthesis Using Unpaired Data

Medical Image Synthesis with Context-Aware Generative Adversarial Networks

Image-to-Image Translation with Conditional Adversarial Networks

Multi-class Generative Adversarial Networks with the L2 Loss Function

Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Clusters of male and female Alzheimer’s disease patients in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database

U-Net: Convolutional Networks for Biomedical Image Segmentation

Adam: A Method for Stochastic Optimization

Low-Dose X-ray CT Reconstruction via Dictionary Learning

Open Access Series of Imaging Studies: Longitudinal MRI Data in Nondemented and Demented Older Adults

Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation

Understanding the difficulty of training deep feedforward neural networks

Biological Effects and Safety in Magnetic Resonance Imaging: A Review

MRI-Based Attenuation Correction for PET/MRI: A Novel Approach Combining Pattern Recognition and Atlas Registration

Health effects of ionising radiation from diagnostic CT

An Investigation of Methods for CT Synthesis in MR-only Radiotherapy

Deep Learning

TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems

Dropout: a simple way to prevent neural networks from overfitting

Imaging Archive

“Creating a Pseudo-CT from MRI for MRI-only based Radiation Therapy Planning”

Building 303-B

Health eff ects of ionising radiation from diagnostic CT

アルツハイマー病の早期診断に向けて-米国 Alzheimer's Disease Neuroimaging Initiative の取り組み

SciPy: Open Source Scientific Tools for Python

RIRE - Retrospective Image Registration Evaluation

Distance metrics for the pixtopix model trained with least-square adversarial loss compared to fine-tuned with gradient boost

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