计算机科学
Python(编程语言)
医学物理学
模式
背景(考古学)
乳腺摄影术
计算机工程
医学
癌症
乳腺癌
社会科学
生物
操作系统
内科学
社会学
古生物学
作者
Mingye Wu,Paul B. Fitzgerald,Jiayong Zhang,W. Paul Segars,Hengyong Yu,Yongshun Xu,Bruno De Man
标识
DOI:10.1088/1361-6560/ac9174
摘要
. X-ray-based imaging modalities including mammography and computed tomography (CT) are widely used in cancer screening, diagnosis, staging, treatment planning, and therapy response monitoring. Over the past few decades, improvements to these modalities have resulted in substantially improved efficacy and efficiency, and substantially reduced radiation dose and cost. However, such improvements have evolved more slowly than would be ideal because lengthy preclinical and clinical evaluation is required. In many cases, new ideas cannot be evaluated due to the high cost of fabricating and testing prototypes. Wider availability of computer simulation tools could accelerate development of new imaging technologies. This paper introduces the development of a new open-access simulation environment for x-ray-based imaging. The main motivation of this work is to publicly distribute a fast but accurate ray-tracing x-ray and CT simulation tool along with realistic phantoms and 3D reconstruction capability, building on decades of developments in industry and academia.
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