Automated Extraction of Radiation Dose Information From CT Dose Report Images

被引：15

作者：

Li, Xinhua ^{[1
]}

Zhang, Da ^{[1
]}

Liu, Bob ^{[1
]}

机构：

[1] Harvard Univ, Massachusetts Gen Hosp, Sch Med, Div Diagnost Imaging Phys,Dept Radiol, Boston, MA 02114 USA

来源：

AMERICAN JOURNAL OF ROENTGENOLOGY | 2011年 / 196卷 / 06期

关键词：

CT dose image; optical character recognition; text extraction; COMPUTED-TOMOGRAPHY;

D O I：

10.2214/AJR.10.5718

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

100231 [临床病理学]; 100902 [航空航天医学];

摘要：

OBJECTIVE. The purpose of this article is to describe the development of an automated tool for retrieving texts from CT dose report images. CONCLUSION. Optical character recognition was adopted to perform text recognitions of CT dose report images. The developed tool is able to automate the process of analyzing multiple CT examinations, including text recognition, parsing, error correction, and exporting data to spreadsheets. The results were precise for total dose-length product (DLP) and were about 95% accurate for CT dose index and DLP of scanned series.

引用

页码：W781 / W783

页数：3

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