Multi-phase CT synthesis-assisted segmentation of abdominal organs
HUANG Pinyu
ZHONG Liming
ZHENG Kaiyi
CHEN Zeli
XIAO Ruolin
QUAN Xianyue
YANG Wei
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.
Keywords：abdominal multi-organ segmentationmulti-phase CT synthesisadversarial generative networksTransformer
Publication Date：2024-01-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 83-92 )