当前位置: X-MOL 学术J. Appl. Clin. Med. Phys. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Identification of robust and reproducible CT‐texture metrics using a customized 3D‐printed texture phantom
Journal of Applied Clinical Medical Physics ( IF 2.1 ) Pub Date : 2021-01-12 , DOI: 10.1002/acm2.13162
Bino A Varghese 1 , Darryl Hwang 1 , Steven Y Cen 1 , Xiaomeng Lei 1 , Joshua Levy 2 , Bhushan Desai 1 , David J Goodenough 3 , Vinay A Duddalwar 1
Affiliation  

The objective of this study was to evaluate the robustness and reproducibility of computed tomography‐based texture analysis (CTTA) metrics extracted from CT images of a customized texture phantom built for assessing the association of texture metrics to three‐dimensional (3D) printed progressively increasing textural heterogeneity.

中文翻译:

使用自定义的3D打印纹理体模识别强大且可重现的CT纹理度量

这项研究的目的是评估从自定义纹理模型的CT图像中提取的基于计算机断层摄影的纹理分析(CTTA)指标的鲁棒性和可重复性,该纹理图像旨在评估纹理指标与逐步增加的三维(3D)打印的关联纹理异质性。
更新日期:2021-02-15
down
wechat
bug