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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Review Article

Tumorous Spinal Lesions: Computer Aided Diagnosis and Evaluation Based on CT Data - A Review

Author(s): Jiri Chmelik*, Roman Jakubicek and Jiri Jan

Volume 14, Issue 5, 2018

Page: [686 - 694] Pages: 9

DOI: 10.2174/1573405613666170331102245

Price: $65

Abstract

Background: “Computer Aided Diagnosis (CAD)” methods are today considered an important means to facilitate and speed-up the work of medical experts, namely in detection, segmentation, and classification of both healthy and pathologic structures in medical image data.

Discussion: This paper provides an overview of such recently published methods aimed at analysing metastatic lesions in the spine using CT imaging. Moreover, common methods of evaluation and efficiency verification of the published CAD systems are also included.

Conclusion: The methods of analysis and the respective CAD systems are mutually compared and their efficiencies, advantages, and drawbacks are discussed.

Keywords: Metastases, spine lesions, tumour, classification, segmentation, computed tomography.

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