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Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities

Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT) is a mathematical process that generates images at many different angles around the patient. Image reconstruction has a fundamental impact on image quality. In recent years, the literature has focused on deep learn...

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Autores principales: Yaqub, Muhammad, Jinchao, Feng, Arshid, Kaleem, Ahmed, Shahzad, Zhang, Wenqian, Nawaz, Muhammad Zubair, Mahmood, Tariq
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225884/
https://www.ncbi.nlm.nih.gov/pubmed/35756423
http://dx.doi.org/10.1155/2022/8750648
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author Yaqub, Muhammad
Jinchao, Feng
Arshid, Kaleem
Ahmed, Shahzad
Zhang, Wenqian
Nawaz, Muhammad Zubair
Mahmood, Tariq
author_facet Yaqub, Muhammad
Jinchao, Feng
Arshid, Kaleem
Ahmed, Shahzad
Zhang, Wenqian
Nawaz, Muhammad Zubair
Mahmood, Tariq
author_sort Yaqub, Muhammad
collection PubMed
description Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT) is a mathematical process that generates images at many different angles around the patient. Image reconstruction has a fundamental impact on image quality. In recent years, the literature has focused on deep learning and its applications in medical imaging, particularly image reconstruction. Due to the performance of deep learning models in a wide variety of vision applications, a considerable amount of work has recently been carried out using image reconstruction in medical images. MRI and CT appear as the ultimate scientifically appropriate imaging mode for identifying and diagnosing different diseases in this ascension age of technology. This study demonstrates a number of deep learning image reconstruction approaches and a comprehensive review of the most widely used different databases. We also give the challenges and promising future directions for medical image reconstruction.
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spelling pubmed-92258842022-06-24 Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities Yaqub, Muhammad Jinchao, Feng Arshid, Kaleem Ahmed, Shahzad Zhang, Wenqian Nawaz, Muhammad Zubair Mahmood, Tariq Comput Math Methods Med Review Article Image reconstruction in magnetic resonance imaging (MRI) and computed tomography (CT) is a mathematical process that generates images at many different angles around the patient. Image reconstruction has a fundamental impact on image quality. In recent years, the literature has focused on deep learning and its applications in medical imaging, particularly image reconstruction. Due to the performance of deep learning models in a wide variety of vision applications, a considerable amount of work has recently been carried out using image reconstruction in medical images. MRI and CT appear as the ultimate scientifically appropriate imaging mode for identifying and diagnosing different diseases in this ascension age of technology. This study demonstrates a number of deep learning image reconstruction approaches and a comprehensive review of the most widely used different databases. We also give the challenges and promising future directions for medical image reconstruction. Hindawi 2022-06-16 /pmc/articles/PMC9225884/ /pubmed/35756423 http://dx.doi.org/10.1155/2022/8750648 Text en Copyright © 2022 Muhammad Yaqub et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Yaqub, Muhammad
Jinchao, Feng
Arshid, Kaleem
Ahmed, Shahzad
Zhang, Wenqian
Nawaz, Muhammad Zubair
Mahmood, Tariq
Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
title Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
title_full Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
title_fullStr Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
title_full_unstemmed Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
title_short Deep Learning-Based Image Reconstruction for Different Medical Imaging Modalities
title_sort deep learning-based image reconstruction for different medical imaging modalities
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225884/
https://www.ncbi.nlm.nih.gov/pubmed/35756423
http://dx.doi.org/10.1155/2022/8750648
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