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M J Gravier

Publications and source records attributed to M J Gravier.

3 recordsLinked to original sources

Bitewing-based alveolar bone densitometry: digital imaging resolution requirements.

The resolution requirements were determined for detection of incremental alveolar bone loss from digitized Ektaspeed radiographs. Ten clinical radiographs were examined with a calibrated optical microscope to measure the smallest feature of interest discernible for alveolar bone. Images of trabeculae > 100 microns in diameter could be identified, but smaller ones could not be resolved. The Nyquist Criterion requires sampling with 50 microns (or smaller) pixels to measure such features. Numerous 25 microns Ag aggregates were present. Fifty microns resolution is a practical compromise between noise level and feature resolution. In another example of 10 bitewings digitized at 8 bit grey scale, about half the available range was used for alveolar bone, resulting in uncertainty, over a range of 2 optical density (OD) units, of about 1.42% at the average OD for alveolar bone (1.1). With the same radiographs digitized at 12 bit resolution, over 2000 of 4096 grey scales were used with a corresponding uncertainty of about 0.09%. Twelve-bit precision was also able to resolve smaller increments in an aluminium stepwedge than was 8 bit precision. Twelve-bit grey scale and 50 microns spatial resolution are recommended for alveolar bone densitometry performed with Ektaspeed radiographs.

Absorptiometry, Photon↗

Radiometric classification of alveolar bone health.

A radiograph-based classifier for discrimination between normal and diseased alveolar bone was developed. The alveolar bone health of dry mandibles was rated, by consensus of two trained observers, as normal or diseased. Bitewing radiographs of mandibular quadrants were digitized and regions of interest (ROIs) of the alveolar bone between the first and second permanent molars outlined. Gray-scale histograms for the ROIs were computed, and a classifier based on these histograms was developed. Two observers (independently) used only the classifier to rate the bone as being normal or diseased. These ratings were compared with the original ratings of trained observers who viewed and scored the actual alveolar bone. The sensitivity (the ability to detect diseased alveolar bone), specificity (the ability to detect normal alveolar bone), and accuracy were 0.90 or greater, indicating good agreement with subjective visual assessments of dry mandibles. These results suggest that this procedure may be applicable for evaluations of bone health in humans.

Adult↗

Digital dental image processing of alveolar bone: Macintosh II personal computer software.

Dental radiographs are amenable to digital image processing and analysis for both subjective interpretation and quantification of scene features. Four general-purpose image processing programs for the Apple Macintosh II computer (NIH Image, Enhance, IP Lab and DIP Station) were applied to digital analysis of dental radiographs. These programs can manipulate and quantitatively analyse the gray scale and spatial data of dental images and improve their subjective quality. They can interactively make geometric measurements of features. The programs were evaluated for their versatility and applicability in the quantification of alveolar bone. Overall, NIH Image was judged most suitable for current dental imaging needs. Each of the other programs offered unique features that may be valuable in specific applications.

Alveolar Process↗