Literature DB >> 33305538

A review on medical imaging synthesis using deep learning and its clinical applications.

Tonghe Wang1,2, Yang Lei1, Yabo Fu1, Jacob F Wynne1, Walter J Curran1,2, Tian Liu1,2, Xiaofeng Yang1,2.   

Abstract

This paper reviewed the deep learning-based studies for medical imaging synthesis and its clinical application. Specifically, we summarized the recent developments of deep learning-based methods in inter- and intra-modality image synthesis by listing and highlighting the proposed methods, study designs, and reported performances with related clinical applications on representative studies. The challenges among the reviewed studies were then summarized with discussion.
© 2020 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine.

Entities:  

Keywords:  CT; MRI; PET; deep learning; image synthesis; radiation therapy

Mesh：

Year:  2020        PMID： 33305538      PMCID： PMC7856512          DOI： 10.1002/acm2.13121

Source DB:  PubMed          Journal:  J Appl Clin Med Phys        ISSN： 1526-9914            Impact factor:   2.102


  168 in total

Review 1.  Radiation risk from medical imaging.

Authors:  Eugene C Lin
Journal:  Mayo Clin Proc       Date:  2010-12       Impact factor: 7.616

2.  3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.

Authors:  Yan Wang; Luping Zhou; Biting Yu; Lei Wang; Chen Zu; David S Lalush; Weili Lin; Xi Wu; Jiliu Zhou; Dinggang Shen
Journal:  IEEE Trans Med Imaging       Date:  2018-11-29       Impact factor: 10.048

Review 3.  MRI simulation for radiotherapy treatment planning.

Authors:  Slobodan Devic
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

4.  MRI-only based synthetic CT generation using dense cycle consistent generative adversarial networks.

Authors:  Yang Lei; Joseph Harms; Tonghe Wang; Yingzi Liu; Hui-Kuo Shu; Ashesh B Jani; Walter J Curran; Hui Mao; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2019-06-12       Impact factor: 4.071

5.  CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation.

Authors:  Christopher Kurz; Matteo Maspero; Mark H F Savenije; Guillaume Landry; Florian Kamp; Marco Pinto; Minglun Li; Katia Parodi; Claus Belka; Cornelis A T van den Berg
Journal:  Phys Med Biol       Date:  2019-11-15       Impact factor: 3.609

6.  DeepPET: A deep encoder-decoder network for directly solving the PET image reconstruction inverse problem.

Authors:  Ida Häggström; C Ross Schmidtlein; Gabriele Campanella; Thomas J Fuchs
Journal:  Med Image Anal       Date:  2019-03-30       Impact factor: 8.545

7.  Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging.

Authors:  Hyungseok Jang; Fang Liu; Gengyan Zhao; Tyler Bradshaw; Alan B McMillan
Journal:  Med Phys       Date:  2018-05-15       Impact factor: 4.071

8.  Dose evaluation of fast synthetic-CT generation using a generative adversarial network for general pelvis MR-only radiotherapy.

Authors:  Matteo Maspero; Mark H F Savenije; Anna M Dinkla; Peter R Seevinck; Martijn P W Intven; Ina M Jurgenliemk-Schulz; Linda G W Kerkmeijer; Cornelis A T van den Berg
Journal:  Phys Med Biol       Date:  2018-09-10       Impact factor: 3.609

9.  Cone Beam Computed Tomography Image Quality Improvement Using a Deep Convolutional Neural Network.

Authors:  Satoshi Kida; Takahiro Nakamoto; Masahiro Nakano; Kanabu Nawa; Akihiro Haga; Jun'ichi Kotoku; Hideomi Yamashita; Keiichi Nakagawa
Journal:  Cureus       Date:  2018-04-29

10.  Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.

Authors:  Paul Blanc-Durand; Maya Khalife; Brian Sgard; Sandeep Kaushik; Marine Soret; Amal Tiss; Georges El Fakhri; Marie-Odile Habert; Florian Wiesinger; Aurélie Kas
Journal:  PLoS One       Date:  2019-10-07       Impact factor: 3.240
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  18 in total

1.  Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks.

Authors:  Yabo Fu; Tonghe Wang; Yang Lei; Pretesh Patel; Ashesh B Jani; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-11-27       Impact factor: 4.071

Review 2.  A review on AI in PET imaging.

Authors:  Keisuke Matsubara; Masanobu Ibaraki; Mitsutaka Nemoto; Hiroshi Watabe; Yuichi Kimura
Journal:  Ann Nucl Med       Date:  2022-01-14       Impact factor: 2.668

3.  Cross-institutional outcome prediction for head and neck cancer patients using self-attention neural networks.

Authors:  William Trung Le; Eugene Vorontsov; Francisco Perdigón Romero; Lotfi Seddik; Mohamed Mortada Elsharief; Phuc Felix Nguyen-Tan; David Roberge; Houda Bahig; Samuel Kadoury
Journal:  Sci Rep       Date:  2022-02-24       Impact factor: 4.379

4.  MRI classification using semantic random forest with auto-context model.

Authors:  Yang Lei; Tonghe Wang; Xue Dong; Sibo Tian; Yingzi Liu; Hui Mao; Walter J Curran; Hui-Kuo Shu; Tian Liu; Xiaofeng Yang
Journal:  Quant Imaging Med Surg       Date:  2021-12

5.  Cellular Density in Adult Glioma, Estimated with MR Imaging Data and a Machine Learning Algorithm, Has Prognostic Power Approaching World Health Organization Histologic Grading in a Cohort of 1181 Patients.

Authors:  E D H Gates; D Suki; A Celaya; J S Weinberg; S S Prabhu; R Sawaya; J T Huse; J P Long; D Fuentes; D Schellingerhout
Journal:  AJNR Am J Neuroradiol       Date:  2022-09-15       Impact factor: 4.966

Review 6.  Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology.

Authors:  Chengyue Wu; Guillermo Lorenzo; David A Hormuth; Ernesto A B F Lima; Kalina P Slavkova; Julie C DiCarlo; John Virostko; Caleb M Phillips; Debra Patt; Caroline Chung; Thomas E Yankeelov
Journal:  Biophys Rev (Melville)       Date:  2022-05-17

Review 7.  Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review.

Authors:  Hazrat Ali; Zubair Shah
Journal:  JMIR Med Inform       Date:  2022-06-29

8.  Distributional independent component analysis for diverse neuroimaging modalities.

Authors:  Ben Wu; Subhadip Pal; Jian Kang; Ying Guo
Journal:  Biometrics       Date:  2021-11-15       Impact factor: 1.701

Review 9.  Artificial intelligence and machine learning for medical imaging: A technology review.

Authors:  Ana Barragán-Montero; Umair Javaid; Gilmer Valdés; Dan Nguyen; Paul Desbordes; Benoit Macq; Siri Willems; Liesbeth Vandewinckele; Mats Holmström; Fredrik Löfman; Steven Michiels; Kevin Souris; Edmond Sterpin; John A Lee
Journal:  Phys Med       Date:  2021-05-09       Impact factor: 2.685

Review 10.  A review of deep learning based methods for medical image multi-organ segmentation.

Authors:  Yabo Fu; Yang Lei; Tonghe Wang; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Phys Med       Date:  2021-05-13       Impact factor: 2.685
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