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Quantitative computed tomography (QCT) as a radiology reporting tool by using optical character recognition (OCR) and macro program

Authors
 Young Han Lee  ;  Ho-Taek Song  ;  Jin-Suck Suh 
Citation
 JOURNAL OF DIGITAL IMAGING, Vol.25(6) : 815-818, 2012 
Journal Title
JOURNAL OF DIGITAL IMAGING
ISSN
 0897-1889 
Issue Date
2012
MeSH
Bone Diseases, Metabolic/diagnostic imaging* ; Femur Neck/diagnostic imaging* ; Humans ; Lumbar Vertebrae/diagnostic imaging* ; Osteoporosis/diagnostic imaging* ; Pattern Recognition, Automated ; Radiology Information Systems ; Software* ; Tomography, X-Ray Computed/methods*
Keywords
Computer in medicine ; PACS ; OCR ; QCT ; Reading room
Abstract
The objectives are (1) to introduce a new concept of making a quantitative computed tomography (QCT) reporting system by using optical character recognition (OCR) and macro program and (2) to illustrate the practical usages of the QCT reporting system in radiology reading environment. This reporting system was created as a development tool by using an open-source OCR software and an open-source macro program. The main module was designed for OCR to report QCT images in radiology reading process. The principal processes are as follows: (1) to save a QCT report as a graphic file, (2) to recognize the characters from an image as a text, (3) to extract the T scores from the text, (4) to perform error correction, (5) to reformat the values into QCT radiology reporting template, and (6) to paste the reports into the electronic medical record (EMR) or picture archiving and communicating system (PACS). The accuracy test of OCR was performed on randomly selected QCTs. QCT as a radiology reporting tool successfully acted as OCR of QCT. The diagnosis of normal, osteopenia, or osteoporosis is also determined. Error correction of OCR is done with AutoHotkey-coded module. The results of T scores of femoral neck and lumbar vertebrae had an accuracy of 100 and 95.4 %, respectively. A convenient QCT reporting system could be established by utilizing open-source OCR software and open-source macro program. This method can be easily adapted for other QCT applications and PACS/EMR.
Full Text
http://link.springer.com/article/10.1007/s10278-012-9464-8
DOI
22399206
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Suh, Jin Suck(서진석) ORCID logo https://orcid.org/0000-0001-9455-9240
Song, Ho Taek(송호택) ORCID logo https://orcid.org/0000-0002-6655-2575
Lee, Young Han(이영한) ORCID logo https://orcid.org/0000-0002-5602-391X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/90768
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