Accuracy assessment of CT-based outer surface femur meshes

Abstract

Objectives: Computer-aided bone surgery planning and implant design applications require accurate and compact representations of the patient's bone. The accuracy of bone segmentation from medical images has been studied extensively, with each study using a specific ground truth and a specific type and number of accuracy measurements. However, for convenience and practical reasons these three specifications have always been limited. The goal of this study is to thoroughly assess the absolute 3D accuracy of CT-based bone outer surface meshes, using femora as the examples. Materials and Methods: Using dense and very accurate optical surface scans of 15 dried femora as an absolute ground truth, this paper reports on the absolute 3D geometric accuracy of triangulated bone outer surface meshes, which were segmented from the CT scans of the corresponding formalin-fixed intact cadaver specimens using the author's previously presented contour-based segmentation algorithm on the one hand, and the commercially available Mimics Õ software (Materialise N.V., Leuven, Belgium) on the other. The study incorporates the effect of soft tissue presence on hard tissue segmentation and simultaneously reveals the accuracy shift introduced as a result of boiling the cadaver bones by processing extra CT scans of the dried bones. Results: The presented study demonstrates that, when using the optimal parameter settings for the respective segmentation procedures, sub-voxel mesh accuracies can be attained. Compact surface representations of femora can be generated with mean absolute accuracies of up to one fifth of the voxel size and Root Mean Square (RMS) error of half the voxel size. Conclusions: The 3D accuracy of the contour-based segmentation previously presented by the author makes it most suitable for generating outer bone surface meshes for use in the aforementioned applications. The optimal parameter settings for this segmentation procedure have been identified. For the Mimics Õ bone surface meshes, a single, but excellent, pre-defined set of parameters was identified.

Accuracy analysis of three‐dimensional bone surface models of the forearm constructed from multidetector computed tomography data

“…The first is the accuracy of a bone model itself. Although accuracy in lower extremity has been reported (12), it has never been clarified in the upper extremity. Therefore, we had first planned to make an error analysis between a 3D bone model and actual measurement of the forearm bone.…”

“…We have also developed a simulation system using 3D computer bone models constructed from CT data and demonstrated its clinical feasibility, particularly in upper extremity surgery (9)(10)(11). Precise computer bone models are a basic requirement for such systems and previous reports have discussed their accuracy in the lower extremity (12). The accuracy of a computer bone model of the upper extremity, however, has not been elucidated.…”

Determination of the Whiteside line on femur surface models by fitting high-order polynomial functions to cross-section profiles of the intercondylar fossa

“…However, accurate reconstruction of bone morphology from MRI is still an issue as it requires at least 1.5-T scanners, which are not usually available in orthopaedic hospitals, and ad hoc acquisition protocols to increase the signal-to-noise ratio of the cortical bone [15]. On the other hand, the model reconstruction is not straightforward, but it should be noted that some recent studies on automated methodologies for bone surface reconstruction from CT scans [12,[56][57][58], and even from low-dose digital stereoradiography [59], showed that high accuracy and high speed were achievable.…”

Reinvestigation of the Morphological Characteristics of the Lateral Ulnar Collateral Ligament in Humans

“…When comparing the accuracy of the 3D models generated from computed tomography data with the optical scan, the average error was 0.2 ± 0.31 mm or around one-third of the pixel size 16) .…”