Three-dimensional human body model reconstruction and manufacturing from CT medical image data using a heterogeneous implicit solid based approach

Abstract

This paper presents a simple and effective method for reconstructing 3D bio-CAD models from a sequence of computer tomography (CT) medical image data. In this work, a heterogeneous implicit solid representation method is proposed to describe a heterogeneous model of the human body. The use of implicit solid as a basis for 3D bio-CAD models facilitates the robustness and simplification of the process for converting CT images to a 3D bio-CAD model. An almost perfect 3D bio-CAD model is achieved from implicit solid interpolation combined with domain decomposition. The implicit solid is defined by a radial basis function which is a continuous scalar-value function over the domain R 3 . The generated solid consists of the set of all points at which this scalar function value is the Houndsfield unit (HU) value obtained from the CT image. CT images of human bone were used as the case studies for the reconstruction of the 3D solid model from CT scan data. Experimental results show that the proposed method has the potential to represent internal human body details accurately and efficiently suitable for rapid prototyping, finite element analysis, and tissue engineering.

An advanced multi-morphology porous scaffold design method using volumetric distance field and beta growth function

“…In general, the RBF was used to interpolate the unorganized cloud of 3D points. [36][37][38][39][40][41][42] In this study, a set of discrete time values identified at some chosen control points in the scaffold model, along with the coordinates of control points, are interpolated to create a smooth 3D scalar field for the time value distribution.…”

“…The basis function used for interpolation in this study is the thin-plate RBF defined by [36][37][38][39][40][41][42] …”

Recent trends and challenges in computer-aided design of additive manufacturing-based biomimetic scaffolds and bioartificial organs

“…It is particularly important in bio-medical engineering since CAD with the help of medical imaging and AM technologies has the capacity to create realistic anatomic models which have diagnostic, therapeutic, and rehabilitatory medical applications. 75 Two recent studies 84,85 have demonstrated substantial progress in this area (Fig. 5).…”

“…4) based on TPMS pore architectures introduced in this paper is likely to be a promising approach for printing and prototyping of bioartificial tissues and more biologically Fig. 6 Generation of a biomimetic porous scaffold model for the spine bone using the heterogeneous implicit solid interpolation method and domain decomposition method 75,84 desirable scaffolds, but further work is needed to demonstrate the full potential of the approach through both in vitro and in vivo experiments. …”

Accuracy control of complex surfaces in reverse engineering

“…Another important area of RE is medical applications to generate anatomic surfaces for a concept or to produce a customfit prosthesis [2][3][4][5][6][7][8] or to aid surgeons to study and evaluate the clinical procedures in orthopaedics or aesthetic reconstruction. [8][9][10][11][12] Basically, RE process begins with the acquisition of a point cloud from a surface of a physical object. There are many different methods for acquiring data shape [13][14][15][16] and each of these use some mechanism to collect the information from the object surface and is commonly designated by digitalization.…”