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作者

Yijing Fang Shirui Wang Yihan Zhang Chengxiu Yuan Li Song Peng Zhao Fei Su Jun Liu Liang Wu

作者单位

³Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Shandong Lung Cancer Institute, Shandong Institute of Neuroimmunology, China ²Yijing Fang, Shirui Wang, Yihan Zhang and Chengxiu Yuan contributed equally to this paper. ⁴Department of Radiology, Taian Maternal and Child Health Hospital, Tai’an 271016, China ¹School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai’an 271016, China

刊名

Biomedical Signal Processing and Control

年份

2026

卷号

Vol.112 Part D

页码

108676

ISSN

1746-8094

摘要

Magnetic resonance imaging of the infant brain plays an important role in studying neonatal brain development as well as diagnosing and treating early brain diseases. Deep learning -based adult brain MR images processing techniques have developed relatively rapidly, with segmentation and registration techniques being the most common. The special characteristics of infant brain structure and rapid changes during developmental period make segmentation and registration of infant brain MR images ch...更多

Magnetic resonance imaging of the infant brain plays an important role in studying neonatal brain development as well as diagnosing and treating early brain diseases. Deep learning -based adult brain MR images processing techniques have developed relatively rapidly, with segmentation and registration techniques being the most common. The special characteristics of infant brain structure and rapid changes during developmental period make segmentation and registration of infant brain MR images challenging. This review critically assesses recent advances in infant brain MR images segmentation and registration. The performance of different DL models for processing infant brain MR images and metrics for evaluating the performance of segmentation and registration algorithms are discussed. This review selects and discusses more than 100 papers in related fields, covering technical aspects of data processing, neural network architectures, and attention mechanisms. We also provide an outlook on the future of infant brain MR images processing.收起

文献类型

期刊