Background and objective: Accurate understanding of the anatomy of the inferior alveolar nerve (IAN) and its relation with anatomical landmarks of mandibular molar teeth can reduce the risk of unwanted injuries to the IAN during implant placement. Methods: 44 CBCTs of patients,who have been reffered to the private oral and maxillofacial radiology center, were examined by a radiologist on the axial, sagittal and coronal planes. Then, the distances between mandibular canal and buccal cortex (BN) and lingual cortex (LN), buccolingual width of the mandibular canal (BL), and the distances between the canal and apex of the first molar (M1N) and second molar of mandible (M2N) were obtained from cross-sectional images. Data were analyzed using SPSS17 software and Kolmogorov-smirnov and Mann-whitney test. Results: 21 males and 23 females aged 20 to 50 years old (mean age: 37.8±7.52) were examined. The mean intervals in the regions of first molar in the right and left sides were

Background and Aim: Intra-bone lesions are common in lesions, among them periapical lesions have a higher incidence. Todays, all direct digital imaging systems provide various types of image processing techniques. The purpose of this study is to investigate the effects of different digital image processing techniques on the diagnosis of bony defects. Materials and Methods: In this experimental study, 50 sheep inferior half-jawbones were used. Lesions were created by round bars with numbers 1 /4 , 1 /2 , 1, 2 and 4. Digital images were obtained by edge enhance, sharpening, invert gray scale processing method and unprocessed investigated by two radiologists and in case of disagreement them observers by third observer. The method of recording the results was definitive diagnosis of lesion number 1, misdiagnosis number 2 and possible diagnosis number 3 .The results were analyzed by chi-square and Fisher's exact tests. Results: Percent of diagnostic sensitivity in unprocessed Images (71.8%) and images processed with Sharpen filter (71.4%) were significantly higher than images processed with invert grayscale (68.5%) and edge Enhancer (53%).(p<0.001) Conclusion: To detect bone lesions, unprocessed and processed digital images with Sharpen filters have higher diagnostic accuracy.