నైరూప్య

Developing Computational Models to Design 3D Printed Scaffolds Using CT Imaging to Reconstruct Actual Bone Defects

K. B. Udayana Piyadeva1*, Angelo Karunaratne1, Udeshi Pramodya Wickramarchchi2, Sandamini Wanigasooriya1, R. Gnanasekaram3, T. P. Miyanawala1

The use of patient-specific scaffolds for the treatment of bone and soft tissue defects formed by accidents and tumour resection is considered an emerging clinical need. We present a method to model bone defects using micro-CT images of bioactive glass scaffolds to generate a reliable computational model that will address the surgical complications caused due to conventional scaffold development methods. The proposed method utilizes two algorithms to develop an automated defect modelling system with high accuracy.

In this article, we discuss the effectiveness of biocompatible materials and bioactive glass scaffolds as bone defect treatment strategies in comparison to the use of fundamental grafting methods and how computational models are being used for bioactive scaffold generation. Our proposed methodology explains the procedure of bone segmentation using CT images, grayscale imaging, image filtering, and feature extraction. We conclude with recommendations for future optimizations of the proposed methodology.