Abstract
Early detection of all types of lung nodules with different characters in medical modality images using computer-aided detection is the best acceptable remedy to save the lives of lung cancer sufferers. But accuracy of different types of nodule detection rates is based on chosen segmented procedures for parenchyma and nodules. Separation of pleural from juxta-pleural nodules (JPNs) is difficult as intensity of pleural and attached nodule is similar. This research paper proposes a fully automated method to detect and segment JPNs. In the proposed method, lung parenchyma is segmented using iterative thresholding algorithm. To improve the nodules detection rate separation of connected lung lobes, an algorithm is proposed to separate connected left and right lung lobes. The new method segments JPNs based on lung boundary pixels extraction, concave points extraction, and separation of attached pleural from nodule. Validation of the proposed method was performed on LIDC-CT images. The experimental result confirms that the developed method segments the JPNs with less computational time and high accuracy.
Highlights
Lung cancer is disease with highest death rate as compared to breast, prostate, brain and cervical cancers
Detection of all types of lung nodules with different characters in medical modality images using computer-aided detection is the best acceptable remedy to save the lives of lung cancer sufferers
Lung parenchyma segmentation results for same Computed Tomography (CT) lung images without and with juxta-pleural nodules (JPNs) is as shown in Figure 9 for proposed method and other considered methods such as Watershed and Region growing methods
Summary
Lung cancer is disease with highest death rate as compared to breast, prostate, brain and cervical cancers. Even with number of available detection methodologies for lung cancer, life span of patient with stage III and IV lung cancer is still not improving as expected. Early stage lung nodules detection followed by the proper treatment is best choice to avoid conversion of early stage nodules into malignant tumors and to reduce mortality rate. Lung nodules possible size ranges from 3mm to 30mm. Non-cancerous and smooth boundary lung nodules are benign nodules. Cancerous and irregular boundary lung tumors are knows as malignant nodules. Non-detected benign nodules may get converts into cancer tumors.
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