Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1784733721378684928 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9225884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT yaqubmuhammad deeplearningbasedimagereconstructionfordifferentmedicalimagingmodalities AT jinchaofeng deeplearningbasedimagereconstructionfordifferentmedicalimagingmodalities AT arshidkaleem deeplearningbasedimagereconstructionfordifferentmedicalimagingmodalities AT ahmedshahzad deeplearningbasedimagereconstructionfordifferentmedicalimagingmodalities AT zhangwenqian deeplearningbasedimagereconstructionfordifferentmedicalimagingmodalities AT nawazmuhammadzubair deeplearningbasedimagereconstructionfordifferentmedicalimagingmodalities AT mahmoodtariq deeplearningbasedimagereconstructionfordifferentmedicalimagingmodalities |