Publication Name	Artificial Intelligence in Medical Imaging
Manuscript ID	57370
Country	China

Received	2020-06-05 08:27
Peer-Review Started	2020-06-05 08:27
To Make the First Decision
Return for Revision	2020-07-04 01:30
Revised	2020-08-01 08:36
Second Decision	2020-08-21 12:43
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2020-08-21 21:09
Articles in Press	2020-08-21 21:09
Publication Fee Transferred
Edit the Manuscript by Language Editor	2020-08-27 21:34
Typeset the Manuscript	2020-09-07 02:07
Publish the Manuscript Online	2020-09-07 09:18

ISSN	2644-3260 (online)
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Category	Engineering, Biomedical
Manuscript Type	Minireviews
Article Title	Development of tomographic reconstruction for three-dimensional optical imaging: From the inversion of light propagation to artificial intelligence
Manuscript Source	Invited Manuscript
All Author List	Xin Cao, Kang Li, Xue-Li Xu, Karen M von Deneen, Guo-Hua Geng and Xue-Li Chen
ORCID	Author(s) ORCID Number Xin Cao http://orcid.org/0000-0001-8658-8412 Kang Li http://orcid.org/0000-0001-6218-5715 Xue-Li Xu http://orcid.org/0000-0001-7518-376X Karen M von Deneen http://orcid.org/0000-0002-5310-1003 Guo-Hua Geng http://orcid.org/0000-0003-2563-4029 Xue-Li Chen http://orcid.org/0000-0002-3898-9892
Funding Agency and Grant Number	Funding Agency Grant Number National Natural Science Foundation of China 61701403 Project funded by China Post-doctoral Science Foundation 2018M643719 Young Talent Support Program of the Shaanxi Association for Science and Technology 20190107 Scientific Research Program Funded by Shaanxi Provincial Education Department 18JK0767 Natural Science Research Plan Program in Shaanxi Province of China 2017JQ6006
Corresponding Author	Xue-Li Chen, PhD, Professor, Engineering Research Center of Molecular and Neuro Imaging, Ministry of Education, and School of Life Science and Technology, Xidian University, No. 266 Xinglong Section of Xifeng Road, Xi’an 710126, Shaanxi Province, China. xlchen@xidian.edu.cn
Key Words	Optical molecular tomography; Deep learning; Artificial intelligence; Light propagation based algorithm; Tomographic reconstruction;
Core Tip	Most of the existing review articles about optical molecular tomography (OMT) focus on the traditional light propagation model-based algorithm, which possesses ill-posedness and ill-condition and the reconstruction result is unsatisfactory. The emergence of deep learning has brought OMT into the era of artificial intelligence, which can obtain a highly accurate reconstruction result. This article systematically reviews the development of tomographic reconstruction for OMT, which involves the light propagation model-based OMT algorithm and machine learning based OMT algorithm. The challenges and perspectives of these machine learning-based algorithms are given at the end of the article.
Publish Date	2020-09-07 09:18
Citation	Cao X, Li K, Xu XL, von Deneen KM, Geng GH, Chen XL. Development of tomographic reconstruction for three-dimensional optical imaging: From the inversion of light propagation to artificial intelligence. Artif Intell Med Imaging 2020; 1(2): 78-86
URL	https://www.wjgnet.com/2644-3260/full/v1/i2/78.htm
DOI	https://dx.doi.org/10.35711/aimi.v1.i2.78

Full Article (PDF)	AIMI-1-78.pdf
Full Article (Word)	AIMI-1-78.docx
Manuscript File	57370-Review-Filipodia.docx
Answering Reviewers	57370-Answering reviewers.pdf
Audio Core Tip	57370-Audio core tip.m4a
Conflict-of-Interest Disclosure Form	57370-Conflict-of-interest statement.pdf
Copyright License Agreement	57370-Copyright license agreement.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s)	57370-Grant application form(s).pdf
Non-Native Speakers of English Editing Certificate	57370-Language certificate.pdf
Peer-review Report	57370-Peer-review(s).pdf
Scientific Misconduct Check	57370-Scientific misconduct check.pdf
Scientific Editor Work List	57370-Scientific editor work list.pdf
CrossCheck Report	57370-CrossCheck report.pdf