南方医科大学学报2024，Vol.44Issue(1)：83-92,10.DOI:10.12122/j.issn.1673-4254.2024.01.10
多期相CT合成辅助的腹部多器官图像分割
Multi-phase CT synthesis-assisted segmentation of abdominal organs
摘要
Abstract
Objective To propose a method for abdominal multi-organ segmentation assisted by multi-phase CT synthesis.Methods Multi-phase CT synthesis for synthesizing high-quality CT images was used to increase the information details for image segmentation.A transformer block was introduced to help to capture long-range semantic information in cooperation with perceptual loss to minimize the differences between the real image and synthesized image.Results The model was trained using multi-phase CT dataset of 526 total cases from Nanfang Hospital.The mean maximum absolute error(MAE)of the synthesized non-contrast CT,venous phase contrast-enhanced CT(CECT),and delay phase CECT images from arterial phase CECT was 19.192±3.381,20.140±2.676 and 22.538±2.874,respectively,which were better than those of images synthesized using other methods.Validation of the multi-phase CT synthesis-assisted abdominal multi-organ segmentation method showed an average dice coefficient of 0.847 for the internal validation set and 0.823 for the external validation set.Conclusion The propose method is capable of synthesizing high-quality multi-phase CT images to effectively reduce the errors in registration between different phase CT images and improve the performance for segmentation of 13 abdominal organs.关键词
腹部多器官分割/多期相CT合成/对抗生成网络/TransformerKey words
abdominal multi-organ segmentation/multi-phase CT synthesis/adversarial generative networks/Transformer引用本文复制引用
黄品瑜,钟丽明,郑楷宜,陈泽立,肖若琳,全显跃,阳维..多期相CT合成辅助的腹部多器官图像分割[J].南方医科大学学报,2024,44(1):83-92,10.基金项目
国家自然科学基金(82172020,62101239,82370674) （82172020,62101239,82370674）
广东省自然科学基金(2023A1515011291) Supported by National Natural Science Foundation of China(82172020,62101239,82370674). （2023A1515011291）
