DocumentCode :
1029539
Title :
Pulmonary nodule distribution modeling as a diagnostic tool for HRCT image analysis
Author :
Pousse, A. ; Pastor, L. ; Manzoni, P. ; Parmentier, M. ; Kastler, B.
Author_Institution :
Franche-Comte Univ., Besancon, France
Volume :
51
Issue :
3
fYear :
2004
fDate :
6/1/2004 12:00:00 AM
Firstpage :
690
Lastpage :
695
Abstract :
In an attempt to improve pulmonary CT scan reading, a computerized model of lung has first been elaborated. The secondary lobule was used as structuring lung element. The entire organ was composed of several lobule layers and of broncho-vascular trees. As pulmonary nodule distribution modes may turn the diagnostic onto specific pathology type, it is very important to define them as precisely as possible. Seven nodule distributions have been modeled: homogenous, peripheral, centrolobular, pleural, lymphatic, and broncho-vascular. A software tool was developed which allows the radiologist to spread nodules either in the whole lung or in anatomical lung areas, using one or more defined distribution modes until the simulated images mimic the CT scans under analysis. First results show a good agreement between scans and synthesized slices. The software tool described here help the physician to determine the true underlying nodule distribution involved in the pulmonary CT under analysis and lead then to a more precise diagnosis. Moreover, it can be used for radiologist education and training.
Keywords :
X-ray imaging; biomedical education; computerised tomography; lung; medical expert systems; medical image processing; software tools; training; HRCT image analysis; X-ray tomography; anatomical lung areas; bronchovascular nodule distributions; bronchovascular trees; centrolobular nodule distributions; computerized model; diagnostic tool; homogenous nodule distributions; image regeneration; lobule layers; lung; lymphatic nodule distributions; medical expert system; pathology; peripheral nodule distributions; pleura nodule distributions; pulmonary CT scan reading; pulmonary nodule distribution modeling; radiologist education; secondary lobule; software tool; synthesized slices; training; Arteries; Blood; Cancer; Computed tomography; Image analysis; Lesions; Lungs; Pathology; Respiratory system; Software tools; Biological system modeling; X-ray tomography; image regeneration; medical expert system; physician education and training; software tool;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2004.829735
Filename :
1310584
Link To Document :
بازگشت