Application of Haralick Descriptors for Characterization of Radiological Patterns of Diffuse Pulmonary Diseases in High-Resolution Computed Tomography

• Helder K. Shimo USP
• Juliana P. Souza USP
• Renato F. Bulcão-Neto UFG
• Paulo M. Azevedo-Marques USP

Abstract

This paper describes an ongoing work on the usage of Haralick’s statistical attributes for the characterization of radiological patterns of diffuse lung diseases in High Resolution Computed Tomography. Initial results indicate that Haralick features have good potential to separate normal and abnormal radiological patterns, which suggests the applicability for detection and segmentation of suspect lung regions.

References

Azevedo-Marques, P. M., Tahoces, P., Iglesias, I. (2006) “Automated characterization of interstitial lung disease on posteranterior chest radiographs”. International Journal of Computer Assisted Radiology and Surgery, p. 350-352.

Ciaccia, P., Patella, M. and P. Zezula. (1997) “M-tree: An Efficient Access Method for Similarity Search in Metric Spaces”. In: 23rd International Conference on Very Large Data Bases, p. 426–435.

Depeursinge, A., Müller, H. and Hidki, A. (2007) “Image-based Diagnostic Aid for Interstitial Lung Disease with Secondary Data Integration”, Progress in Biomedical Optics and Imaging, p. 1-12.

Grenier, P., Valeyre, D. and Cluzel, P. (1991) “Chronic Diffuse Interstitial Lung Disease: Diagnostic Value of Chest Radiography and High-resolution CT”, Radiology, HighWire Press, p. 123-132.

Haralick R. M., Shanmugam K. and Distein I. (1973) “Textural Features for Image Classification”, IEEE Transactions on Systems, Man and Cybernetics, IEEE Press, p. 610-621.

Kim, N., Seo, J. B. and Lee, Y. (2009) “Development of an Automatic Classification System for Differentiation of Obstructive Lung Disease using HRCT”, Journal of Digital Imaging, p. 136-148.

Marsh, A. (1997) “Euromed – The Creation of a Telemedical Information Society”. In: 10 th IEEE Symposium on Computer Based Medical Systems, p. 86-91.

Mathieson, J. R., Mayo, J. R. and Staples, C. A. (1989) “Chronic Diffuse Infiltrative Lung Disease: Comparison of Diagnostic Accuracy of CT and Chest Radiography”, Radiology, HighWire Press, p. 111-116.

Müller H., Michoux N., Bandon D. and Geissbuhler A. (2004) “A Review of Content-based Image Retrieval Systems in Medical Applications – Clinical Benefits and Future Directions”, International Journal of Medical Informatics, p. 1-23.

Pessotti, H. C. (2008) “Desenvolvimento de um Framework para Classificação de Doenças Pulmonares Difusas Apoiado por Técnicas de Recuperação de Imagens Baseada em Conteúdo e Recuperação de Informação Textual”, Monografia de Conclusão de Curso, Universidade de São Paulo.

Qian, G., Sural, S., Gu, Y. and Pramanik, S. (2004) “Similarity between Euclidean and Cosine Angle Distance for Nearest Neighbor Queries”. In: 2004 ACM Symposium on Applied Computing, p. 1232-1237.

Shang, Y. and Li, L. (2002) “Precision Evaluation of Search Engines”, World Wide Web Journal, Kluwer Academic Publishers, p. 159-173.

Traina Júnior, C., Traina, A. J. M., Seeger, B. and Faloutsos, C. (2000) “Slim-Tree: High Performance Metric Trees Minimizing Overlap Between Nodes”. In: International Conference on Extending Database Technology, p. 51-65.