Computer Diagnosis of Pneumoconiosis

The advent of increased government involvement in occupational health maintenance with compensation for affected individuals is requiring new approaches to medical decision making. One aspect of this involvement will perhaps include the automatic mass diagnostic screening of medical films for the detection of a specffic abnormality with an occupational etiology. The results of two complementary approaches for performing diagnostic screening for presence and profusion of coal worker's pneumoconiosis from the routine posterior-anterior chest radiograph are presented. The first is a digital approach utilizing the measurement of image texture, while the second uses hybrid optical-digital methods involving the optical Fourier tramsform. Both approaches yielded classification results comparable to experienced radiologists.

[1]  J. Yerushalmy.  The statistical assessment of the variability in observer perception and description of roentgenographic pulmonary shadows. , 1969, Radiologic clinics of North America.

[2]  M. Wise,et al.  Dust content, radiology, and pathology in simple pneumoconiosis of coalworkers. , 1960, British journal of industrial medicine.

[3]  Ernest L. Hall,et al.  A Survey of Preprocessing and Feature Extraction Techniques for Radiographic Images , 1971, IEEE Transactions on Computers.

[4]  S. Dwyer,et al.  Automated radiographic diagnosis via feature extraction and classification of cardiac size and shape descriptors. , 1972, IEEE transactions on bio-medical engineering.

[5]  W K Morgan,et al.  On the factors influencing consistency in the radiologic diagnosis of pneumoconiosis. , 1970, The American review of respiratory disease.

[6]  A. G. Tescher,et al.  Image processing by digital computer , 1972, IEEE Spectrum.

[7]  G Jacobson,et al.  Essentials of chest radiography. , 1970, Radiology.

[8]  K. Rossmann,et al.  Measurement of the Modulation Transfer Function of Radiographic Systems Containing Fluorescent Screens , 1964, Physics in medicine and biology.

[9]  Garland Lh.  Studies on the accuracy of diagnostic procedures. , 1959 .

[10]  D. Liddell,et al.  VALIDATION OF CLASSIFICATIONS OF PNEUMOCONIOSIS , 1972, Annals of the New York Academy of Sciences.

[11]  W K Morgan,et al.  The effect of film quality and other factors on the roentgenographic categorization of coal workers' pneumoconiosis. , 1972, The American journal of roentgenology, radium therapy, and nuclear medicine.

[12]  Ernest L. Hall,et al.  Texture Measures for Automatic Classification of Pulmonary Disease , 1972, IEEE Transactions on Computers.

[13]  W. S. Lainhart,et al.  UICC/Cincinnati Classification of the Radiographic Appearances of Pneumoconioses: A Cooperative Study by the UICC Committee , 1970 .

[14]  R H MORGAN,et al.  THE FREQUENCY RESPONSE CHARACTERISTICS OF X-RAY FILMS AND SCREENS. , 1964, The American journal of roentgenology, radium therapy, and nuclear medicine.

[15]  J. Gibson.  The perception of visual surfaces. , 1950, The American journal of psychology.

[16]  Lusted Lb,et al.  Perception of the roentgen image: applications of signal detectability theory. , 1969 .

[17]  George G. Lendaris,et al.  Diffraction-pattern sampling for automatic pattern recognition , 1970 .

[18]  A. Rosenfeld,et al.  Visual texture analysis , 1970 .