Segmentation of nodules on chest computed tomography for growth assessment

Several segmentation methods to evaluate growth of small isolated pulmonary nodules on chest computed tomography (CT) are presented. The segmentation methods are based on adaptively thresholding attenuation levels and use measures of nodule shape. The segmentation methods were first tested on a real...

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Bibliographic Details
Published in:	Medical physics (Lancaster) Vol. 31; no. 4; pp. 839 - 848
Main Authors:	Mullally, William, Betke, Margrit, Wang, Jingbin, Ko, Jane P.
Format:	Journal Article
Language:	English
Published:	United States American Association of Physicists in Medicine 01.04.2004
Subjects:	3D algorithms Algorithms Artificial Intelligence cancer Computed radiography computed tomography computer aided analysis computerised tomography computer‐aided diagnosis Humans image segmentation Imaging, Three-Dimensional lung lung cancer medical image processing Neoplasm Staging - methods Pattern Recognition, Automated phantom study phantoms Phantoms, Imaging Physicists Radiographic Image Interpretation, Computer-Assisted - instrumentation Radiographic Image Interpretation, Computer-Assisted - methods Radiography, Thoracic - instrumentation Radiography, Thoracic - methods Radiologists Reproducibility of Results Sensitivity and Specificity shape analysis Solitary Pulmonary Nodule - classification Solitary Pulmonary Nodule - diagnostic imaging Solitary Pulmonary Nodule - pathology tumours volume effects lung cancer phantom study computed tomography volume effects 3D algorithms image segmentation shape analysis computer-aided diagnosis
ISSN:	0094-2405, 2473-4209
Online Access:	Get full text
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