NDLI: Lung Nodules Detection in CT Images Using Gestalt-Based Algorithm

Content Provider	IET Digital Library
Author	Qiu, Shi Wen, Desheng Cui, Ying Feng, Jun
Abstract	To overcome low accuracy and high false positive of existing computer-aided lung nodules detection. We propose a novel lung nodule detection scheme based on the Gestalt visual cognition theory. The proposed scheme involves two parts which simulate human eyes cognition features such as simplicity, integrity and classification. Firstly, lung region was segmented from lung Computed tomography (CT) sequences. Then local threedimensional information was integrated into the Maximum intensity projection (MIP) images from axial, coronal and sagittal profiles. In this way, lung nodules and vascular are strengthened and discriminated based on pathologic image characteristics of lung nodules. The experimental database includes fifty-three high resolution CT images contained lung nodules, which had been confirmed by biopsy. The experimental results show that, the accuracy rate of the proposed algorithm achieves 91.29%. The proposed framework improves performance and computation speed for computer aided nodules detection.
Starting Page	711
Ending Page	718
Page Count	8
ISSN	10224653
Volume Number	25
e-ISSN	20755597
Issue Number	Issue 4, Jul (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/25/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2016.07.009
Journal	Chinese Journal of Electronics
Publisher Date	2016-07-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Axial Profiles Biology And Medical Computing Biomedical Imaging/measurement Biophysics of Neurophysiological Processes Biopsy Cognition Computer Vision And Image Processing Technique Computer-aided Lung Nodule Detection Computerised Tomography Coronal Profiles CT Image Eye Feature Extraction Gestalt Visual Cognition Theory Gestalt-based Algorithm High Resolution CT Image Human Eye Cognition Feature Image Classification Image Recognition Image Resolution Image Segmentation Local Three-dimensional Information Lung Lung Computed Tomography Sequence Maximum Intensity Projection Image Medical Image Processing Pathologic Image Characteristic Patient Diagnostic Method And Instrumentation Physiological Optics Physiological Vision Radiography And Computed Tomography Sagittal Profile X-Ray Technique X-Rays And Particle Beam
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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