Med Biol Eng Comput - Predicting 3D pose in partially overlapped X-ray images of knee prostheses using model-based Roentgen stereophotogrammetric analysis (RSA).

Tópicos

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Resumo

After total knee replacement, the model-based Roentgen stereophotogrammetric analysis (RSA) technique has been used to monitor the status of prosthetic wear, misalignment, and even failure. However, the overlap of the prosthetic outlines inevitably increases errors in the estimation of prosthetic poses due to the limited amount of available outlines. In the literature, quite a few studies have investigated the problems induced by the overlapped outlines, and manual adjustment is still the mainstream. This study proposes two methods to automate the image processing of overlapped outlines prior to the pose registration of prosthetic models. The outline-separated method defines the intersected points and segments the overlapped outlines. The feature-recognized method uses the point and line features of the remaining outlines to initiate registration. Overlap percentage is defined as the ratio of overlapped to non-overlapped outlines. The simulated images with five overlapping percentages are used to evaluate the robustness and accuracy of the proposed methods. Compared with non-overlapped images, overlapped images reduce the number of outlines available for model-based RSA calculation. The maximum and root mean square errors for a prosthetic outline are 0.35 and 0.04 mm, respectively. The mean translation and rotation errors are 0.11 mm and 0.18?, respectively. The errors of the model-based RSA results are increased when the overlap percentage is beyond about 9%. In conclusion, both outline-separated and feature-recognized methods can be seamlessly integrated to automate the calculation of rough registration. This can significantly increase the clinical practicability of the model-based RSA technique.

Resumo Limpo

total knee replac modelbas roentgen stereophotogrammetr analysi rsa techniqu use monitor status prosthet wear misalign even failur howev overlap prosthet outlin inevit increas error estim prosthet pose due limit amount avail outlin literatur quit studi investig problem induc overlap outlin manual adjust still mainstream studi propos two method autom imag process overlap outlin prior pose registr prosthet model outlinesepar method defin intersect point segment overlap outlin featurerecogn method use point line featur remain outlin initi registr overlap percentag defin ratio overlap nonoverlap outlin simul imag five overlap percentag use evalu robust accuraci propos method compar nonoverlap imag overlap imag reduc number outlin avail modelbas rsa calcul maximum root mean squar error prosthet outlin mm respect mean translat rotat error mm respect error modelbas rsa result increas overlap percentag beyond conclus outlinesepar featurerecogn method can seamless integr autom calcul rough registr can signific increas clinic practic modelbas rsa techniqu

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