Paper
16 March 2006 Development of patient collation system by kinetic analysis for chest dynamic radiogram with flat panel detector
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Abstract
In the picture archiving and communication system (PACS) environment, it is important that all images be stored in the correct location. However, if information such as the patient's name or identification number has been entered incorrectly, it is difficult to notice the error. The present study was performed to develop a system of patient collation automatically for dynamic radiogram examination by a kinetic analysis, and to evaluate the performance of the system. Dynamic chest radiographs during respiration were obtained by using a modified flat panel detector system. Our computer algorithm developed in this study was consisted of two main procedures, kinetic map imaging processing, and collation processing. Kinetic map processing is a new algorithm to visualize a movement for dynamic radiography; direction classification of optical flows and intensity-density transformation technique was performed. Collation processing consisted of analysis with an artificial neural network (ANN) and discrimination for Mahalanobis' generalized distance, those procedures were performed to evaluate a similarity of combination for the same person. Finally, we investigated the performance of our system using eight healthy volunteers' radiographs. The performance was shown as a sensitivity and specificity. The sensitivity and specificity for our system were shown 100% and 100%, respectively. This result indicated that our system has excellent performance for recognition of a patient. Our system will be useful in PACS management for dynamic chest radiography.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuichiro Tsuchiya and Yoshie Kodera "Development of patient collation system by kinetic analysis for chest dynamic radiogram with flat panel detector", Proc. SPIE 6145, Medical Imaging 2006: PACS and Imaging Informatics, 61451A (16 March 2006); https://doi.org/10.1117/12.652567
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KEYWORDS
Radiography

Data modeling

Picture Archiving and Communication System

Chest

Mahalanobis distance

Algorithm development

Computing systems

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