Abstract
Rationale and Objectives.: Detection of interstitial infiltrates on chest radiographs is difficult and subjective. Therefore, we developed a computerized method to provide quantitative analysis of lung texture to increase diagnostic accuracy. Methods.: Two hundred chest radiographs-100 healthy and 100 abnormal with interstitial infiltrates-were digitized using a laser scanner. They were analyzed by an automated computerized scheme that uses a combination of two methods for detection of interstitial infiltrates: a lung texture analysis based on the Fourier transform and a geometric pattern feature analysis based on filtering techniques. Results.: The overall sensitivity and specificity of the computerized scheme were 92% and 90%, respectively. The scheme achieved a sensitivity of 80% in subtle cases (n = 15) and 88% in cases with localized interstitial disease (n = 26), whereas the specificity remained unchanged. There was good correlation between the computer output and the radiologists' severity rating. Conclusion.: This enhanced computerized scheme exhibits high sensitivity and specificity with a large database.
| Original language | English |
|---|---|
| Pages (from-to) | 455-462 |
| Number of pages | 8 |
| Journal | Academic Radiology |
| Volume | 2 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jan 1 1995 |
| Externally published | Yes |
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All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging
Cite this
Computerized analysis of interstitial infiltrates on chest radiographs : A new scheme based on geometric pattern features and fourier analysis. / Monnier-Cholley, Laurence; MacMahon, Heber; Katsuragawa, Shigehiko; Morishita, Junji; Doi, Kunio.
In: Academic Radiology, Vol. 2, No. 6, 01.01.1995, p. 455-462.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Computerized analysis of interstitial infiltrates on chest radiographs
T2 - A new scheme based on geometric pattern features and fourier analysis
AU - Monnier-Cholley, Laurence
AU - MacMahon, Heber
AU - Katsuragawa, Shigehiko
AU - Morishita, Junji
AU - Doi, Kunio
PY - 1995/1/1
Y1 - 1995/1/1
N2 - Rationale and Objectives.: Detection of interstitial infiltrates on chest radiographs is difficult and subjective. Therefore, we developed a computerized method to provide quantitative analysis of lung texture to increase diagnostic accuracy. Methods.: Two hundred chest radiographs-100 healthy and 100 abnormal with interstitial infiltrates-were digitized using a laser scanner. They were analyzed by an automated computerized scheme that uses a combination of two methods for detection of interstitial infiltrates: a lung texture analysis based on the Fourier transform and a geometric pattern feature analysis based on filtering techniques. Results.: The overall sensitivity and specificity of the computerized scheme were 92% and 90%, respectively. The scheme achieved a sensitivity of 80% in subtle cases (n = 15) and 88% in cases with localized interstitial disease (n = 26), whereas the specificity remained unchanged. There was good correlation between the computer output and the radiologists' severity rating. Conclusion.: This enhanced computerized scheme exhibits high sensitivity and specificity with a large database.
AB - Rationale and Objectives.: Detection of interstitial infiltrates on chest radiographs is difficult and subjective. Therefore, we developed a computerized method to provide quantitative analysis of lung texture to increase diagnostic accuracy. Methods.: Two hundred chest radiographs-100 healthy and 100 abnormal with interstitial infiltrates-were digitized using a laser scanner. They were analyzed by an automated computerized scheme that uses a combination of two methods for detection of interstitial infiltrates: a lung texture analysis based on the Fourier transform and a geometric pattern feature analysis based on filtering techniques. Results.: The overall sensitivity and specificity of the computerized scheme were 92% and 90%, respectively. The scheme achieved a sensitivity of 80% in subtle cases (n = 15) and 88% in cases with localized interstitial disease (n = 26), whereas the specificity remained unchanged. There was good correlation between the computer output and the radiologists' severity rating. Conclusion.: This enhanced computerized scheme exhibits high sensitivity and specificity with a large database.
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U2 - 10.1016/S1076-6332(05)80399-X
DO - 10.1016/S1076-6332(05)80399-X
M3 - Article
VL - 2
SP - 455
EP - 462
JO - Academic Radiology
JF - Academic Radiology
SN - 1076-6332
IS - 6
ER -