期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：4
DOI：10.15680/ijircce.2015.0304079
出版社：S&S Publications
摘要：Lobewise examination of the pulmonary parenchyma is of scientific significance designed for make adiagnosis and monitoring of pulmonary diseases pathologies becomes important . In medical applications thesegmentation of the lung lobe segmentation becomes very important to identify the lung lobes and make a treatment formedical applications of particular patient. Image segmentation is the procedure in which the original image ispartitioned into homogeneous regions and plays an important role in medical image processing. In lung lobesegmentation methods segmentation of pulmonary becomes a very difficult and challenging issues for CT images, sincechangeable reflection resolution, noise and feature obtained through dissimilar CT scanners. Furthermore, difference inexamination is numerous, and imperfect fracture is frequent, particularly in rigorous lung disease cases. In recent workautomatic lung lobe segmentation the segmentation is performed based on the watershed transformation with theintention of obtain an examination of lobar airways and vasculature addicted to description .But segmentation result arefused based on the Euclidean distance measure which becomes less results, in order to solve this issue in this work, anautomated novel lung lobe segmentation method is applied to computed tomography (CT) which separates the lunglobes into pulmonary fissure , Vessel and voxles. Measure of medium truth degree (MMTD) is employed for automaticsegmentation of lung lobe. MMTD measure the similarity between the original pixels and make use of correlation ofthe pixel. In initial stage, the lobar markers are determined by the calculation of labeled bronchial tree. In initial stageof the work the pulmonary vessels are detected based on MMTD. In the second step of the work pulmonary fissures issegmented based on the fissure enhancement where eigen values of is determined from Hessian matrix . In third stagetwo pre-processing steps is applied such as Gaussian smoothening and bronchial tree . Gaussian smoothening is mainlyperformed to reduce the noises in the input image samples. The bronchial tree is mainly applied to enhance the qualityof the input image samples. Cost image is calculated through mixing the information of fissures, bronchi, andpulmonary vessels distance results. The experimentation results of the proposed MMTD- Lobar segmentation iscompared with earlier methods and it applied for 20 CT scans through rejection or mild disease.
关键词：Lung lobes; Computed tomography (CT) ; pulmonary fissures; segmentation; measure based on the;measure of medium truth degree (MMTD).
