报告详情
Method for extracting and analyzing dosimetric data from Hitachi-type DICOM reports
编号：81
访问权限：仅限参会人
更新：2025-12-21 13:01:08 浏览：23次
拓展类型2
报告开始：暂无开始时间（Asia/Amman）
报告时间：暂无持续时间
所在会场：[暂无会议] [暂无会议段]
暂无文件
摘要
Currently, data from Hitachi machines' Digital Imaging and Communications in Medicine (DICOM) reports is used manually, which is time-consuming and error-prone. This limits the effectiveness of the analyses needed to manage radiation doses and improve medical practices. This paper therefore proposes an automated solution for the rapid and reliable extraction of key information, including CTDI (Computed Tomography Dose Index) and PDL (Product of Dose Length) indices, to facilitate the determination of Diagnostic Reference Levels (DRL). The methodology combines several steps: collecting real data from Picture Archiving and Communication System (PACS) reports; studying the structure of DICOM reports; developing an extraction algorithm in Python; and visualising the results via a web interface. The solution's architecture is based on the Django framework for data processing and Angular for the interactive presentation of results. The results obtained demonstrate the effectiveness of the platform in automating the extraction and analysis of DICOM data, significantly reducing processing time while providing healthcare professionals with clear, intuitive visualisation. This solution represents a significant advance in radiation dose management, transitioning from manual processes to an automated system that is faster and aligns with international radiation protection recommendations.
关键词
DICOM,DICOM SR,DRL
报告人
Mouhamed GUEYE
Phd Student University Alioune Diop of Bambey稿件作者
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重要日期
-
会议日期
12月29日
2025
至12月31日
2025
-
12月30日 2025
报告提交截止日期
-
12月30日 2025
注册截止日期
-
12月31日 2025
初稿截稿日期
主办单位
国际科学联合会
承办单位
扎尔卡大学
联系方式
- Miss AsianComNet
- as******@usssociety.org
历届会议
-
2024年10月24日 泰国 Bangkok
2024亚洲通讯与网络会议
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