Computer Aided Detection of Bone Metastases in the Thoracolumbar Spine View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Jianhua Yao , Joseph E. Burns , Ronald M. Summers

ABSTRACT

Computer-aided detection (CAD) techniques and algorithms for radiologic applications are rapidly growing in scope and sophistication. One important application of CAD techniques in medicine is in the detection and assessment of metastatic disease to the bone. Bone metastases affect approximately 400,000 patients per year in the United States. Early detection of bone metastases is important clinically, as the prognosis can change and the treatment regimen can at that point be altered from one of curative therapy to one of palliative treatment. Both lytic and sclerotic metastatic disease can act to biomechanically weaken the bone, and potentially lead to pathologic fractures. This chapter presents a framework for computer-aided detection of lytic and sclerotic metastatic lesions in the thoracolumbar spine using computed tomography (CT). State-of-art techniques are described in detail in each module of the framework. Thorough validation experiments are designed and results are presented. We also discuss the clinical significance and limitation of the CAD system. More... »

PAGES

97-130

Book

TITLE

Spinal Imaging and Image Analysis

ISBN

978-3-319-12507-7
978-3-319-12508-4

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-12508-4_4

DOI

http://dx.doi.org/10.1007/978-3-319-12508-4_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039373242


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