Automatizing Bone Surface Mapping in 3D Reconstructed Tomographies

Rapid Communication

Foot Ankle Stud. 2022; 4(1): 1025.

Automatizing Bone Surface Mapping in 3D Reconstructed Tomographies

Rodrigo Schroll Astolfi¹, Amanda Vieira Batista¹*, José Alberto Dias Leite² and Alexandre Leme Godoy dos Santos³

1Department of Medicine, Federal University of Alagoas, Brazil

1,2Department of Orthopedic Medicine, Federal University of Ceará, Brazil

3Department of Orthopedic Medicine, University of São Paulo, Brazil

*Corresponding author: Amanda Vieira Batista, Department of Medicine, Federal University of Alagoas. Street Vital Barbosa 746; Ponta Verde. Maceió, Brazil

Received: April 20, 2022; Accepted: May 23, 2022; Published: May 30, 2022


Introduction: In orthopedic surgery, having the bone in it’s exactly position is the most important factor for success. In comminuted fractures there is no bone edge to fit, surgeon’s ability becomes fundamental and human error is common. The way to diminish the human factor is to provide anatomically contoured implants so they can be guides for the surgeon. To make these implants it is necessary to compare the 3D bone contour in the population and find the most fitable implant.

Materials and Methods: Twenty ankle tomographies were selected and 3D reconstructed for this research. We design and tested a software for semiautomatized bone superficial scanning. The software marked points on bone surface and constructed a spreadsheet with the 3D cartographic reference for each point.

Results: The software was able to set the points in bone surface and the reconstruction of the original bone from the spreadsheet was successful. We were not able to reconstruct an average ankle from the averages of the points.

Conclusion: Despite the transformation of the 3D bone surface in its numeric presentation was successful, we were still not able to compare individuals. We believe that volumetric paring could be a solution.

Keywords: 3D Perception; 3D Reconstruction; Active perception; 3D Data processing; 3D Visualization


Precision is a definitive facture for orthopedic surgery success, many studies have shown that reduction is the most important factor for fracture consolidation for example [1,3]. Reduction can be accomplished be connecting bone edges perfectly docked or by reestablishing bone’s original length, angulation and rotation [1]. In comminuted fractures is difficult to find the adjustment between the pieces, and in these cases surgeon`s ability is crucial [4,6]. Since the begging of bone fracture surgery, the principle is to reduce and them make the fixation [1,6,7,11], in comminuted fractures the surgeon ability becomes the most important factor for bone healing. To mitigate the possibility of human error anatomically designed plates were made to guide the surgeon so the plate becomes one of the parameters for reduction [6,8,10].

In many cases like in ankle fractures the existing plates lacks the possibility of rotational control, bad rotation alignment is one of the most causes of bad reduced fractures in orthopedic practice [9,10,12]. Bone tuberosities and micro contour irregularities can be used to guide rotational control. Little is known about this micro contour variance in population [12,13]. In the willing to study populational variance of micro bone superficial anatomy and look for pattern repetitions that could make commercially viable new plates and guides for bone alignment rotational control in orthopedic surgery, we started this protocol for the development of a software for an automatized bone contour scanning using 3D reconstructed tomographies. This paper describes our initiative for the software construction.


Ankle tomographies images were obtained from the medical archive after approval by the ethics committee of the General Hospital of Fortaleza. Inclusion criteria were ankles considerate without bone deformities after the analysis of both one radiologist and an orthopedic surgeon. Exclusion criteria were ankle images with bad definition (more than 1 mm space between the cuts).

The device used was the multislice tomography (Toshiba Medical System Corporation). 20 patients were included for the initial study, only left ankles were included.


All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee CEP-HGF of september 13, 2018. Project identification code 2.889.433. CAAE: 97777118.1.0000.5040

First the researcher marked the zero point at the tip of the fibula (Figure 1). Them a sequence of points were automatically marked within a space of 1mm between each other, in all the fibula circumference and in all the slides for 4 cm above the tip of the fibula. For every point the program generated a X, Y and Z reference in relation to the zero point (Figure 1). Also, automatically the X, Y and Z references were incorporated in an Excel® (Microsoft) spreadsheet.

Citation: Astolfi RS, Batista AV, Dias Leite JA and Godoy dos Santos AL. Automatizing Bone Surface Mapping in 3D Reconstructed Tomographies. Foot Ankle Stud. 2022; 4(1): 1025.