.png){kind=icon}
返回
ImUnity: A generalizable VAE-GAN solution for multicenter MR image harmonization
.png){kind=icon}
OA
AI
DOI：10.1016/j.media.2023.102799.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
ImUnity is an original 2.5D deep-learning model designed for efficient and flexible MR image harmonization. A VAE-GAN network, coupled with a confusion module and an optional biological preservation module, uses multiple 2D slices taken from different anatomical locations in each subject of the training database, as well as image contrast transformations for its training. It eventually generates 'corrected' MR images that can be used for various multi-center population studies. Using 3 open source databases (ABIDE, OASIS and SRPBS), which contain MR images from multiple acquisition scanner types or vendors and a large range of subjects ages, we show that ImUnity: (1) outperforms state-of-the-art methods in terms of quality of images generated using traveling subjects; (2) removes sites or scanner biases while improving patients classification; (3) harmonizes data coming from new sites or scanners without the need for an additional fine-tuning and (4) allows the selection of multiple MR reconstructed images according to the desired applications. Tested here on T1-weighted images, ImUnity could be used to harmonize other types of medical images.
Keyword:
Brain
Deep Adversarial Network
Data harmonization
Self-supervised learning
Radiomic features
期刊
IF:
11.8
论文数:
3.9K
被引数:
2.4W
机构
引用论文
The Effect of 40-Hz Light Therapy on Amyloid Load in Patients with Prodromal and Clinical Alzheimer’s Disease40Hz光疗法对前驱和临床阿尔茨海默病患者淀粉样蛋白负荷的影响
OAAI
OAAI分享收藏A global optimisation method for robust affine registration of brain images.png)
MEDICAL IMAGE ANALYSIS
MEDICAL IMAGE ANALYSISIF11.8
PREAI
分享收藏Harmonization of diffusionMRIdata sets with adaptive dictionary learningHUMAN BRAIN MAPPINGOAAI
HUMAN BRAIN MAPPINGIF3.3
OAAI分享收藏Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods跨数据集的稳健大脑提取以及与公开可用方法的比较
PREAI
分享收藏
查看更多内容