Automatic feature extraction and new method for retrieval from CT image database

To propose a new method for content-based retrieval from medical CT image database on the basis of automatically extracted features of the images. An automatic feature extraction method is proposed based on expectation-maximization algorithm. A CT image is represented by a set of regions, each of wh...

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Bibliographic Details
Published inDi 1 jun yi da xue xue bao = Academic journal of the first medical college of PLA Vol. 24; no. 5; p. 579
Main Authors Zhou, Jie, Feng, Qian-jin, Lin, Ya-zhong, Chen, Wu-fan
Format Journal Article
LanguageChinese
Published China 01.05.2004
Subjects
Algorithms
Databases as Topic
Humans
Image Processing, Computer-Assisted
Radiographic Image Interpretation, Computer-Assisted
Tomography, X-Ray Computed
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Summary:To propose a new method for content-based retrieval from medical CT image database on the basis of automatically extracted features of the images. An automatic feature extraction method is proposed based on expectation-maximization algorithm. A CT image is represented by a set of regions, each of which is characterized by a fuzzy regional feature vector reflecting the grey level, texture, shape, and the cumulative distribution histogram feature of the region of interest (ROI) to efficiently describe the difference between the ROIs. Compared with the submitted query image, the target images were retrieved in the order of similarity calculated by the proposed similarity measures. The proposed technique for CT image retrieval is suitable for clinical application, with greater precision and efficiency for retrieval than the conventional methods.
ISSN:1000-2588