A computer-aided detection (CAD) system is helpful for radiologists to detect pulmonary nodules at an early stage. In this paper, we propose a novel pulmonary nodule detection method based on hierarchical block classification. The proposed CAD system consists of three steps. In the first step, input computed tomography images are split into threedimensional block images, and we apply entropy an...

A suspected pulmonary nodule detection method was proposed based on dot-filter and extracting centerline algorithm. In this paper, we focus on the distinguishing adhesion pulmonary nodules attached to vessels in two-dimensional (2D) lung computed tomography (CT) images. Firstly, the dot-filter based on Hessian matrix was constructed to enhance the circular area of the pulmonary CT images, which...

Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse bone structure and overlapping of the nodule with ribs and clavicles the nodule is hard to detect in conventional chest radiographs. We present a technique based on Independent Component Analysis (ICA) for the suppres...

OBJECTIVES To review the Early Lung Cancer Action Project experience and the medical literature from 1993 to 2003 on detection of the small, noncalcified pulmonary nodule by CT in order to formulate a management algorithm for these nodules. DESIGN Prospective noncomparative study of smokers without prior malignancy and a review of the medical literature of CT screening of lung cancer. INTER...

Institutional review board approval was obtained. Informed patient consent was not required for this retrospective study, which involved review of previously obtained image data. Patient confidentiality was protected; the study was compliant with the Health Insurance Portability and Accountability Act. An automated pulmonary nodule detection program that takes advantage of three-dimensional vol...

New opportunities for research in computer aided diagnosis (CAD) of pulmonary nodules resulted from the emergence of publicly available clinical case studies, containing expert radiologist-defined truth. Access to high-quality labeled data affords non-clinical image analysis groups the opportunity to pursue diagnostic imaging research. Historically, clinical research centers reported results ba...

Pulmonary nodules are commonly detected at computed tomography (CT) of the chest. More than 95% are < or = 10 mm; of these more than 95% are benign. Visual detection of pulmonary nodules by human readers is suboptimal, particularly with small nodules < or =10 mm. Computer-assisted detection can improve sensitivity and diagnostic confidence. Due to the high proportion of malignant lesions in nod...

Background: Serum lactate dehydrogenase (LDH) concentration is an indicator for tissue injury. It may be secreted locally in many conditions. For the first time, this study was performed to investigate the value of LDH level in bronchoalveolar lavage fluid (BALF) in differentiation of benign from malignant single pulmonary nodules (SPNs) and to assess its relationship with serum LDH levels. Met...