Cited 5 times in
Simple and efficient method for region of interest value extraction from picture archiving and communication system viewer with optical character recognition software and macro program
DC Field | Value | Language |
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dc.contributor.author | 박은혜 | - |
dc.contributor.author | 서진석 | - |
dc.contributor.author | 이영한 | - |
dc.date.accessioned | 2016-02-04T11:08:56Z | - |
dc.date.available | 2016-02-04T11:08:56Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 1076-6332 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/139774 | - |
dc.description.abstract | RATIONALE AND OBJECTIVES: The objectives are: 1) to introduce a simple and efficient method for extracting region of interest (ROI) values from a Picture Archiving and Communication System (PACS) viewer using optical character recognition (OCR) software and a macro program, and 2) to evaluate the accuracy of this method with a PACS workstation. MATERIALS AND METHODS: This module was designed to extract the ROI values on the images of the PACS, and created as a development tool by using open-source OCR software and an open-source macro program. The principal processes are as follows: (1) capture a region of the ROI values as a graphic file for OCR, (2) recognize the text from the captured image by OCR software, (3) perform error-correction, (4) extract the values including area, average, standard deviation, max, and min values from the text, (5) reformat the values into temporary strings with tabs, and (6) paste the temporary strings into the spreadsheet. This principal process was repeated for the number of ROIs. The accuracy of this module was evaluated on 1040 recognitions from 280 randomly selected ROIs of the magnetic resonance images. The input times of ROIs were compared between conventional manual method and this extraction module-assisted input method. RESULTS: The module for extracting ROI values operated successfully using the OCR and macro programs. The values of the area, average, standard deviation, maximum, and minimum could be recognized and error-corrected with AutoHotkey-coded module. The average input times using the conventional method and the proposed module-assisted method were 34.97 seconds and 7.87 seconds, respectively. CONCLUSIONS: A simple and efficient method for ROI value extraction was developed with open-source OCR and a macro program. Accurate inputs of various numbers from ROIs can be extracted with this module. The proposed module could be applied to the next generation of PACS or existing PACS that have not yet been upgraded. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 113~116 | - |
dc.relation.isPartOf | ACADEMIC RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Algorithms | - |
dc.subject.MESH | Artificial Intelligence* | - |
dc.subject.MESH | Data Mining/methods* | - |
dc.subject.MESH | Image Interpretation, Computer-Assisted/methods* | - |
dc.subject.MESH | Natural Language Processing* | - |
dc.subject.MESH | Pattern Recognition, Automated/methods* | - |
dc.subject.MESH | Programming Languages | - |
dc.subject.MESH | Radiology Information Systems/organization & administration* | - |
dc.subject.MESH | Reproducibility of Results | - |
dc.subject.MESH | Sensitivity and Specificity | - |
dc.subject.MESH | Software* | - |
dc.subject.MESH | User-Computer Interface | - |
dc.subject.MESH | Vocabulary, Controlled | - |
dc.title | Simple and efficient method for region of interest value extraction from picture archiving and communication system viewer with optical character recognition software and macro program | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학) | - |
dc.contributor.googleauthor | Young Han Lee | - |
dc.contributor.googleauthor | Eun Hae Park | - |
dc.contributor.googleauthor | Jin-Suck Suh | - |
dc.identifier.doi | 10.1016/j.acra.2014.07.003 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01622 | - |
dc.contributor.localId | A01916 | - |
dc.contributor.localId | A02967 | - |
dc.relation.journalcode | J00003 | - |
dc.identifier.eissn | 1878-4046 | - |
dc.identifier.pmid | 25127847 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S1076633214002475 | - |
dc.subject.keyword | Computers in medicine | - |
dc.subject.keyword | OCR | - |
dc.subject.keyword | PACS | - |
dc.subject.keyword | region of interest | - |
dc.contributor.alternativeName | Park, Eun Hae | - |
dc.contributor.alternativeName | Suh, Jin Suck | - |
dc.contributor.alternativeName | Lee, Young Han | - |
dc.contributor.affiliatedAuthor | Park, Eun Hae | - |
dc.contributor.affiliatedAuthor | Suh, Jin Suck | - |
dc.contributor.affiliatedAuthor | Lee, Young Han | - |
dc.rights.accessRights | not free | - |
dc.citation.volume | 22 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 113 | - |
dc.citation.endPage | 116 | - |
dc.identifier.bibliographicCitation | ACADEMIC RADIOLOGY, Vol.22(1) : 113-116, 2015 | - |
dc.identifier.rimsid | 53812 | - |
dc.type.rims | ART | - |
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