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Erschienen in: Journal of Digital Imaging 1/2008

01.03.2008

Integration of Temporal Subtraction and Nodule Detection System for Digital Chest Radiographs into Picture Archiving and Communication System (PACS): Four-year Experience

verfasst von: Shuji Sakai, Hidetake Yabuuchi, Yoshio Matsuo, Takashi Okafuji, Takeshi Kamitani, Hiroshi Honda, Keiji Yamamoto, Keiichi Fujiwara, Naoki Sugiyama, Kunio Doi

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 1/2008

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Abstract

Since May 2002, temporal subtraction and nodule detection systems for digital chest radiographs have been integrated into our hospital’s picture archiving and communication systems (PACS). Image data of digital chest radiographs were stored in PACS with the digital image and communication in medicine (DICOM) protocol. Temporal subtraction and nodule detection images were produced automatically in an exclusive server and delivered with current and previous images to the work stations. The problems that we faced and the solutions that we arrived at were analyzed. We encountered four major problems. The first problem, as a result of the storage of the original images’ data with the upside-down, reverse, or lying-down positioning on portable chest radiographs, was solved by postponing the original data storage for 30 min. The second problem, the variable matrix sizes of chest radiographs obtained with flat-panel detectors (FPDs), was solved by improving the computer algorithm to produce consistent temporal subtraction images. The third problem, the production of temporal subtraction images of low quality, could not be solved fundamentally when the original images were obtained with different modalities. The fourth problem, an excessive false-positive rate on the nodule detection system, was solved by adjusting this system to chest radiographs obtained in our hospital. Integration of the temporal subtraction and nodule detection system into our hospital’s PACS was customized successfully; this experience may be helpful to other hospitals.
Literatur
1.
Zurück zum Zitat Shah PK, Austin JH, White CS, Patel P, Haramati LB, Pearson GD, Shiau MC, Berkmen YM: Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. Radiology 226:235–241, 2003PubMedCrossRef Shah PK, Austin JH, White CS, Patel P, Haramati LB, Pearson GD, Shiau MC, Berkmen YM: Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. Radiology 226:235–241, 2003PubMedCrossRef
2.
Zurück zum Zitat Kaneko M, Eguchi K, Ohmatsu H, Kakinuma R, Naruke T, Suemasu K, Moriyama N: Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. Radiology 201:798–802, 1996PubMed Kaneko M, Eguchi K, Ohmatsu H, Kakinuma R, Naruke T, Suemasu K, Moriyama N: Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. Radiology 201:798–802, 1996PubMed
3.
Zurück zum Zitat Doi K: Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol 78:S3–S19, 2005PubMedCrossRef Doi K: Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol 78:S3–S19, 2005PubMedCrossRef
4.
Zurück zum Zitat Sakai S, Soeda H, Furuya A, Yabuuchi H, Okafuji T, Yamamoto K, Honda H, Doi K: Evaluation of the image quality of temporal subtraction images produced automatically in a PACS environment. J Digit Imaging 19(4):383–390, 2006PubMedCrossRef Sakai S, Soeda H, Furuya A, Yabuuchi H, Okafuji T, Yamamoto K, Honda H, Doi K: Evaluation of the image quality of temporal subtraction images produced automatically in a PACS environment. J Digit Imaging 19(4):383–390, 2006PubMedCrossRef
5.
Zurück zum Zitat Morishita J, Watanabe H, Katsuragawa S, Oda N, Sukenobu Y, Okazaki H, Nakata H, Doi K: Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs. Acad Radiol 12:97–103, 2005PubMedCrossRef Morishita J, Watanabe H, Katsuragawa S, Oda N, Sukenobu Y, Okazaki H, Nakata H, Doi K: Investigation of misfiled cases in the PACS environment and a solution to prevent filing errors for chest radiographs. Acad Radiol 12:97–103, 2005PubMedCrossRef
6.
Zurück zum Zitat Kano A, Doi K, MacMahon H, Hassell DD, Giger ML: Digital image subtraction of temporally sequential chest images for detection of interval change. Med Phys 21:453–461, 1994PubMedCrossRef Kano A, Doi K, MacMahon H, Hassell DD, Giger ML: Digital image subtraction of temporally sequential chest images for detection of interval change. Med Phys 21:453–461, 1994PubMedCrossRef
7.
Zurück zum Zitat Kobayashi T, Xu XW, MacMahon H, Metz CE, Doi K: Effect of a computer-aided diagnosis scheme on radiologists’ performance in detection of lung nodules on radiographs. Radiology 199:843–848, 1996PubMed Kobayashi T, Xu XW, MacMahon H, Metz CE, Doi K: Effect of a computer-aided diagnosis scheme on radiologists’ performance in detection of lung nodules on radiographs. Radiology 199:843–848, 1996PubMed
8.
Zurück zum Zitat Katsuragawa S, Tagashira H, Li Q, et al: Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography. J Digit Imaging 12:166–172, 1999PubMedCrossRef Katsuragawa S, Tagashira H, Li Q, et al: Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography. J Digit Imaging 12:166–172, 1999PubMedCrossRef
9.
Zurück zum Zitat Shiraishi J, Katsuragawa S, Ikezoe J, et al: Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules. AJR 174:71–74, 2000PubMed Shiraishi J, Katsuragawa S, Ikezoe J, et al: Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists’ detection of pulmonary nodules. AJR 174:71–74, 2000PubMed
10.
Zurück zum Zitat Kakeda S, Moriya J, Sato H, et al: Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. AJR 182:505–510, 2004PubMed Kakeda S, Moriya J, Sato H, et al: Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. AJR 182:505–510, 2004PubMed
11.
Zurück zum Zitat Sakai S, Soeda H, Takahashi N, Okafuji T, Yoshitake T, Yabuuchi H, Yoshino I, Yamamoto K, Honda H, Doi K: Computer-aided nodule detection on digital chest radiography: validation test on consecutive T1 cases of resectable lung cancer. J Digit Imaging 19(4):376–382, 2006PubMedCrossRef Sakai S, Soeda H, Takahashi N, Okafuji T, Yoshitake T, Yabuuchi H, Yoshino I, Yamamoto K, Honda H, Doi K: Computer-aided nodule detection on digital chest radiography: validation test on consecutive T1 cases of resectable lung cancer. J Digit Imaging 19(4):376–382, 2006PubMedCrossRef
12.
Zurück zum Zitat Johkoh T, Kozuka T, Tomiyama N, Hamada S, Honda O, Mihara N, Koyama M, Tsubamoto M, Maeda M, Nakamura H, Saki H, Fujiwara K: Temporal subtraction for detection of solitary pulmonary nodules on chest radiographs: evaluation of a commercially available computer-aided diagnosis system. Radiology 223:806–811, 2002PubMedCrossRef Johkoh T, Kozuka T, Tomiyama N, Hamada S, Honda O, Mihara N, Koyama M, Tsubamoto M, Maeda M, Nakamura H, Saki H, Fujiwara K: Temporal subtraction for detection of solitary pulmonary nodules on chest radiographs: evaluation of a commercially available computer-aided diagnosis system. Radiology 223:806–811, 2002PubMedCrossRef
13.
Zurück zum Zitat Tsubamoto M, Johkoh T, Kozuka T, Tomiyama N, Hamada S, Honda O, Mihara N, Koyama M, Maeda M, Nakamura H, Fujiwara K: Temporal subtraction for the detection of hazy pulmonary opacities on chest radiography. AJR 179:467–471, 2002PubMed Tsubamoto M, Johkoh T, Kozuka T, Tomiyama N, Hamada S, Honda O, Mihara N, Koyama M, Maeda M, Nakamura H, Fujiwara K: Temporal subtraction for the detection of hazy pulmonary opacities on chest radiography. AJR 179:467–471, 2002PubMed
14.
Zurück zum Zitat Prokop M, Neitzel U, Schaefer-Prokop C: Principles of image processing in digital chest radiography. J Thorac Imaging 18:148–164, 2003PubMedCrossRef Prokop M, Neitzel U, Schaefer-Prokop C: Principles of image processing in digital chest radiography. J Thorac Imaging 18:148–164, 2003PubMedCrossRef
15.
Zurück zum Zitat Fernandez-Bayo J, Barbero O, Rubies C, Sentis M, Donoso L: Distributing medical images with internet technologies: a DICOM web server and a DICOM java viewer. Radiographics 20:581–590, 2000PubMed Fernandez-Bayo J, Barbero O, Rubies C, Sentis M, Donoso L: Distributing medical images with internet technologies: a DICOM web server and a DICOM java viewer. Radiographics 20:581–590, 2000PubMed
Metadaten
Titel
Integration of Temporal Subtraction and Nodule Detection System for Digital Chest Radiographs into Picture Archiving and Communication System (PACS): Four-year Experience
verfasst von
Shuji Sakai
Hidetake Yabuuchi
Yoshio Matsuo
Takashi Okafuji
Takeshi Kamitani
Hiroshi Honda
Keiji Yamamoto
Keiichi Fujiwara
Naoki Sugiyama
Kunio Doi
Publikationsdatum
01.03.2008
Verlag
Springer-Verlag
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 1/2008
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-007-9014-y

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