Quantitative kinetic analysis of lung nodules using the temporal subtraction technique in dynamic chest radiographies performed with a flat panel detector.
Early detection and treatment of lung cancer is one of the most effective means of reducing cancer mortality, and to this end, chest X-ray radiography has been widely used as a screening method. A related technique based on the development of computer analysis and a flat panel detector (FPD) has ena...
| Publicado en: | Journal of Digital Imaging Vol. 22; no. 2; pp. 126 - 136 |
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| Autores principales: | , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105483060&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105483060 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Apr2009 vid: 22 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105483060 2010229055 10.1007/s10278-008-9116-1 NLM18415648 105483060 ppf: 126 ppct: 10 formats: fmt: @attributes: type: P tig: atl: Quantitative kinetic analysis of lung nodules using the temporal subtraction technique in dynamic chest radiographies performed with a flat panel detector. aug: au: Tsuchiya Y Kodera Y Tanaka R Sanada S affil: Department of Radiology, Shizuoka Children's Hospital, 860 Urushiyama, Aoi-ku, Shizuoka, 420-8660, Japan. yuichiro-rt@k9.dion.ne.jp sug: subj: Diagnosis, Computer Assisted Lung Neoplasms Diagnosis Radiographic Image Enhancement Radiography, Thoracic Algorithms Computer Simulation Evaluation Research Image Processing, Computer Assisted Kinetics Neural Networks (Computer) Respiration Human ab: Early detection and treatment of lung cancer is one of the most effective means of reducing cancer mortality, and to this end, chest X-ray radiography has been widely used as a screening method. A related technique based on the development of computer analysis and a flat panel detector (FPD) has enabled the functional evaluation of respiratory kinetics in the chest and is expected to be introduced into clinical practice in the near future. In this study, we developed a computer analysis algorithm to detect lung nodules and to evaluate quantitative kinetics. Breathing chest radiographs obtained by modified FPD and breath synchronization utilizing diaphragmatic analysis of vector movement were converted into four static images by sequential temporal subtraction processing, morphological enhancement processing, kinetic visualization processing, and lung region detection processing. An artificial neural network analyzed these density patterns to detect the true nodules and draw their kinetic tracks. Both the algorithm performance and the evaluation of clinical effectiveness of seven normal patients and simulated nodules showed sufficient detecting capability and kinetic imaging function without significant differences. Our technique can quantitatively evaluate the kinetic range of nodules and is effective in detecting a nodule on a breathing chest radiograph. Moreover, the application of this technique is expected to extend computer-aided diagnosis systems and facilitate the development of an automatic planning system for radiation therapy. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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