Image segmentation for silicosis diagnosis in grid environment

Silicosis is one of the most serious occupational diseases in China. Radiologist information comes from chest radiographs, in which the most important parts are lung fields and ribs. It is necessary to distinguish lung fields and ribs from other organs. The anatomical knowledge-based lung segmentation can improve the accuracy of segmentation and solve the problems of opened region and lost clavicle region. The curve model-based rib segmentation can acquire more accurate rib location information, and provide more efficient orientation for latter diagnosis. These two methods are also deployed in grid environment to get higher efficiency when processing massive and distributed medical data for silicosis diagnosis. Experiments show that the two proposed algorithms can meet the latter medical requirements for chest radiograph with higher accuracy.

[1]  Bram van Ginneken,et al.  Automatic delineation of ribs in frontal chest radiographs , 2000, Medical Imaging: Image Processing.

[2]  A. Ardeshir Goshtasby,et al.  Automatic detection of rib borders in chest radiographs , 1995, IEEE Trans. Medical Imaging.

[3]  Max A. Viergever,et al.  Computer-aided diagnosis in chest radiography: a survey , 2001, IEEE Transactions on Medical Imaging.

[4]  Hai Jin,et al.  Heterogeneous Medical Data Share and Integration on Grid , 2008, 2008 International Conference on BioMedical Engineering and Informatics.

[5]  Hai Jin,et al.  MIGP: Medical Image Grid Platform Based on HL7 Grid Middleware , 2006, ADVIS.

[6]  J M Carreira,et al.  Automatic calculation of total lung capacity from automatically traced lung boundaries in postero-anterior and lateral digital chest radiographs. , 1998, Medical physics.

[7]  B. M. ter Haar Romeny,et al.  Automatic segmentation of lung fields in chest radiographs. , 2000, Medical physics.

[8]  Craig E. Kuziemsky,et al.  Can GRID services provide answers to the challenges of national health information sharing? , 2003, CASCON.

[9]  Bram van Ginneken,et al.  Segmentation of the posterior ribs in chest radiographs using iterated contextual pixel classification , 2006, IEEE Transactions on Medical Imaging.

[10]  Ana Maria Mendonça,et al.  Automatic delimitation of lung fields on chest radiographs , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[11]  Ran Zheng,et al.  Agent-Based Data Loading Method in MedImGrid , 2009, 2009 International Conference on New Trends in Information and Service Science.

[12]  Hiroyuki Yoshida,et al.  Local contralateral subtraction based on bilateral symmetry of lung for reduction of false positives in computerized detection of pulmonary nodules , 2004, IEEE Transactions on Biomedical Engineering.