Special Section Technical Briefs

Surface Mesh Density Extraction of Orthopedic Magnetic Resonance Image With Hue Saturation Value Filtering1

[+] Author and Article Information
Neil Vaughan, Venketesh N. Dubey

Faculty of Science and Technology,
Bournemouth University,
Fern Barrow,
Poole, Dorset BH12 5BB, UK

Accepted and presented at The Design of Medical Devices Conference (DMD2015), April 13–16, 2015, Minneapolis, MN, USA.

Manuscript received March 3, 2015; final manuscript received March 17, 2015; published online July 16, 2015. Editor: Arthur Erdman.

J. Med. Devices 9(3), 030949 (Sep 01, 2015) (2 pages) Paper No: MED-15-1105; doi: 10.1115/1.4030579 History: Received March 03, 2015; Revised March 17, 2015; Online July 16, 2015

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Mitton, D., Deschenes, S., Laporte, S., Godbout, B., Bertrand, S., de Guise, J. A., and Skalli, W., 2006, “3D Reconstruction of the Pelvis From Bi-Planar Radiography,” Comput. Methods Biomech. Biomed. Eng., 9(1), pp. 1–5. [CrossRef]
Peeters, P., and Pronost, N., 2014, “A Practical Framework for Generating Volumetric Meshes of Subject-Specific Soft Tissue,” Visual Comput., 30(2), pp. 127–137. [CrossRef]


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Fig. 2

Statistical analysis of ROI

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Fig. 3

ROI histogram intensity analysis

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Fig. 1

Filter for RGB and HSV feature extraction

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Fig. 4

Sagittal slices from (a) original MRI of patient and (b) feature extraction after RGB and HSV filtering

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Fig. 5

Surface mesh model of vertebrae




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