The main goal of this study was to introduce a novel three-dimensional procedure to objectively quantify both inner and outer condylar remodelling on preoperative multi-slice computed tomography(MSCT) and postoperative cone-beam computed tomography(CBCT) images. Second, the reliability and accuracy of this condylar volume quantification method was assessed. The mandibles of 20 patients(11 female and 9 male) who underwent bimaxillary surgery were semi-automatically extracted from MSCT/CBCT scans and rendered in 3D. The resulting condyles were spatially matched by using an anatomical landmark-based registration procedure.A standardized sphere was created around each condyle, and the condylar bone volume within this selected region of interest was automatically calculated. To investigate the reproducibility of the method, inter-and intra-observer reliability was calculated for assessments made by two experienced radiologists twice five months apart in a set of ten randomly selected patients. To test the accuracy of the bone segmentation, the inner and outer bone structures of one dry mandible, scanned according to the clinical set-up, were compared with the gold standard, micro-CT. Thirty-eight condyles showed a significant(P<0.05) mean bone volume decrease of 26.4% ± 11.4%(502.9 mm~3± 268.1 mm~3). No significant effects of side, sex or age were found. Good to excellent(ICC>0.6) intra-and inter-observer reliability was observed for both MSCT and CBCT. Moreover, the bone segmentation accuracy was less than one voxel(0.4 mm) for MSCT(0.3 mm ± 0.2 mm) and CBCT(0.4 mm ± 0.3 mm), thus indicating the clinical potential of this method for objective follow-up in pathological condylar resorption. The main goal of this study was to introduce a novel three-dimensional procedure to objectively quantify both inner and outer condylar remodeling on preoperative multi-slice computed tomography (MSCT) and postoperative cone-beam computed tomography (CBCT) images. Second, the reliability and accuracy of this condylar volume quantification method was assessed. The mandibles of 20 patients (11 female and 9 male) who underwent bimaxillary surgery were semi-automatically extracted from MSCT / CBCT scans and rendered in 3D. The resulting condyles were spatially matched by using an anatomical landmark-based registration procedure. A standardized sphere was created around each condyle, and the condylar bone volume within this selected region of interest was automatically calculated. To investigate the reproducibility of the method, inter-and intra-observer reliability was calculated for assessments made by two experienced radiologists twice five months apart in a set of ten randomly selected patien ts. To test the accuracy of the bone segmentation, the inner and outer bone structures of one dry mandible, scanned according to the clinical set-up, were compared with the gold standard, micro-CT. Thirty-eight condyles showed a significant ( P <0.05) mean bone volume decrease of 26.4% ± 11.4% (502.9 mm ± 3 ± 268.1 mm ~ 3). No significant effects of side, sex or age were found. Good to excellent (ICC> 0.6) In addition, the bone segmentation accuracy was less than one voxel (0.4 mm) for MSCT (0.3 mm ± 0.2 mm) and CBCT (0.4 mm ± 0.3 mm), indicating the clinical potential of this method for objective follow-up in pathological condylar resorption.