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Direct Visualization of Regions with Lowered Bone Mineral Density in Dual-Energy CT Images of Vertebrae

Wesarg, Stefan ; Erdt, Marius ; Kafchitsas, Konstantinos ; Khan, M. Fawad (2011)
Direct Visualization of Regions with Lowered Bone Mineral Density in Dual-Energy CT Images of Vertebrae.
Medical Imaging 2011: Computer-Aided Diagnosis. Part Two.
doi: 10.1117/12.878130
Conference or Workshop Item, Bibliographie

Abstract

Dual-energy CT allows for a better material differentiation than conventional CT. For the purpose of osteoporosis diagnosis, a detection of regions with lowered bone mineral density (BMD) is of high clinical interest. Based on an existing biophysical model of the trabecular bone in vertebrae a new method for directly highlighting those low density regions in the image data has been developed. For this, we combine image data acquired at 80 kV and 140 kV with information about the BMD range in different vertebrae and derive a method for computing a color enhanced image which clearly indicates low density regions. An evaluation of our method which compares it with a quantitative method for BMD assessment shows a very good correspondence between both methods. The strength of our method lies in its simplicity and speed.

Item Type: Conference or Workshop Item
Erschienen: 2011
Creators: Wesarg, Stefan ; Erdt, Marius ; Kafchitsas, Konstantinos ; Khan, M. Fawad
Type of entry: Bibliographie
Title: Direct Visualization of Regions with Lowered Bone Mineral Density in Dual-Energy CT Images of Vertebrae
Language: English
Date: 2011
Publisher: SPIE Press, Bellingham
Series: Proceedings of SPIE; 7963
Event Title: Medical Imaging 2011: Computer-Aided Diagnosis. Part Two
DOI: 10.1117/12.878130
Abstract:

Dual-energy CT allows for a better material differentiation than conventional CT. For the purpose of osteoporosis diagnosis, a detection of regions with lowered bone mineral density (BMD) is of high clinical interest. Based on an existing biophysical model of the trabecular bone in vertebrae a new method for directly highlighting those low density regions in the image data has been developed. For this, we combine image data acquired at 80 kV and 140 kV with information about the BMD range in different vertebrae and derive a method for computing a color enhanced image which clearly indicates low density regions. An evaluation of our method which compares it with a quantitative method for BMD assessment shows a very good correspondence between both methods. The strength of our method lies in its simplicity and speed.

Uncontrolled Keywords: Forschungsgruppe Medical Computing (MECO), Business Field: Digital society, Research Area: Confluence of graphics and vision, Medical visualization, Computed tomography (CT), Diagnostic imaging, Bone mineral density (BMD), Dual-energy CT, Bone mineral density, Osteoporosis
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
Last Modified: 12 Nov 2018 11:16
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