Title :
Improving the detection of osteoporosis from dental radiographs using Active Appearance Models
Author :
Roberts, M.G. ; Graham, J. ; Devlin, H.
Author_Institution :
Imaging Sci. & Biomed. Eng., Univ. of Manchester, Manchester, UK
Abstract :
We describe improvements to a method of detecting patients at risk of osteoporosis from automatic measurement of the inferior mandibular cortex on panoramic dental tomograms. Previous work had used an Active Shape Model (ASM) to locate the mandibular edges. However, the edge-based ASM has little lateral positioning information and in osteoporotic cases the superior border is often poorly defined. These problems can degrade the accuracy of the measurements of cortical width. We have obtained superior accuracy using an Active Appearance Model incorporating a complex texture model derived from an osteoporotic-enriched training set. This leads to improvements in diagnostic accuracy, when applied to a large dataset of 663 subjects with known Bone Mineral Density.
Keywords :
bone; brain; dentistry; diagnostic radiography; diseases; image segmentation; medical image processing; neurophysiology; active appearance models; bone mineral density; complex texture model; cortical width; dental radiographs; diagnostic accuracy; image segmentation; inferior mandibular cortex; osteoporosis; osteoporotic-enriched training set; panoramic dental tomograms; Active appearance model; Active shape model; Biomedical measurements; Bones; Dentistry; Diagnostic radiography; Hip; Minerals; Osteoporosis; Sampling methods; Active Appearance Model; Active Shape Model; Dental Radiographs; Image Segmentation; Osteoporosis;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2010.5490314