Advances in Harmonization Techniques for Magnetic Resonance Imaging
摘要截稿:
全文截稿: 2024-09-01
影响因子: 3.311
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 生物学 - 3区
• 小类 : 生化与分子生物学 - 3区
• 小类 : 细胞生物学 - 3区
Overview
Magnetic resonance imaging (MRI), including its various modalities such as structural MRI, functional MRI, and diffusion MRI, is a crucial tool for studying the human brain and neurodegeneration. The flexibility of MR acquisition, however, poses challenges for the consistent analysis of longitudinal and multi-cohort neuroimage data. In recent years, harmonization methods have emerged to mitigate these challenges associated with the heterogeneous nature of MRI data. The recent advancements in this field have begun to unlock the possibility of processing MRI data on a massive scale. Existing harmonization techniques largely fall into two categories: statistics-based harmonization and image synthesis-based harmonization. The two approaches tackle harmonization from different angles. This special issue aims to provide valuable insights of this emerging research direction, highlighting recent advancements and exploring novel directions for the applications of harmonization techniques in MRI.
Manuscript submission information:
The submission system will be open for submissions to our Special Issue from March 2024. When submitting your manuscript please select the article type “VSI: Harmonization in MRI”. Please submit your manuscript before 01 September 2024.
All submissions deemed suitable to be sent for peer review will be reviewed by at least two independent reviewers. Once your manuscript is accepted, it will go into production, and will be simultaneously published in the current regular issue and pulled into the online Special Issue. Articles from this Special Issue will appear in different regular issues of the journal, though they will be clearly marked and branded as Special Issue articles.
Please see an example here: https://www.sciencedirect.com/journal/neuroimage/special-issues.
Please ensure you read the Guide for Authors before writing your manuscript. The Guide for Authors and link to submit your manuscript is available on the Journal’s homepage at: https://www.sciencedirect.com/journal/neuroimage/publish/guide-for-authors.
Inquiries, including questions about appropriate topics, may be sent electronically to Aaron Carassm, aron_carass@jhu.edu.
Guest Editors:
Aaron Carassm, Johns Hopkins University, Baltimore, United States.
Lianrui Zuo, Johns Hopkins University, Baltimore, United States.
Yihao Liu, Johns Hopkins University, Baltimore, United States.
Jerry Prince, Johns Hopkins University, Baltimore, United States.
Neda Jahanshad, University of Southern California, Los Angeles.
Learn more about the benefits of publishing in a special issue.