14646995

Source:http://linkedlifedata.com/resource/pubmed/id/14646995

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0025663, umls-concept:C0205554, umls-concept:C0817096, umls-concept:C1306645, umls-concept:C1527148, umls-concept:C1704922, umls-concept:C1883674
pubmed:issue	10
pubmed:dateCreated	2003-12-3
pubmed:abstractText	It is important that all images in a picture archiving and communication system (PACS) environment should be stored in the correct location, e.g., in the proper patient's folder. However, if patient information, such as identification number or patient name, has been entered incorrectly, the image may be stored in the wrong place. We are developing an automated patient recognition method for chest radiographs based on a template-matching technique to prevent such filing errors. To further improve the performance of our method, we investigated the usefulness of a new automated patient-recognition method based on a template-matching technique by using edge-enhanced and smoothed images. We found that the relationship between the correlation values obtained with and without the edge-enhancement technique tended to provide different criteria for identifying correct or incorrect patients. When we combined the two methods to distinguish the images by a rule-based method, 67.1% of wrongly identified patients in our database could be identified as wrongly identified, without any false warnings for correctly identified patients. We consider that this automated method for patient recognition based on edge-enhanced images would be useful in preventing "wrong" images from being stored in a PACS environment.
pubmed:language	jpn
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/7505722
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:month	Oct
pubmed:issn	0369-4305
pubmed:author	pubmed-author:DoiKunioK, pubmed-author:KatsuragawaShigehikoS, pubmed-author:KondoKeisukeK, pubmed-author:MorishitaJunjiJ
pubmed:issnType	Print
pubmed:volume	59
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	1277-84
pubmed:dateRevised	2011-7-28
pubmed:meshHeading	pubmed-meshheading:14646995-Databases, Factual, pubmed-meshheading:14646995-Humans, pubmed-meshheading:14646995-Patient Identification Systems, pubmed-meshheading:14646995-Radiography, Thoracic
pubmed:year	2003
pubmed:articleTitle	[Development of an automated patient-recognition method for digital chest radiographs using edge-enhanced images].
pubmed:affiliation	Department of Economics, Kyotogakuen University.
pubmed:publicationType	Journal Article, English Abstract