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All Journal International Journal of Electrical and Computer Engineering Journal of Electronics, Electromedical Engineering, and Medical Informatics Metalurgi ASEAN Journal for Science and Engineering in Materials
Utomo, Muhammad Satrio
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Convolutional neural network for assisting accuracy of personalized clavicle bone implant designs Mayasari, Dita Ayu; Hawari, Ihtifazhuddin; Dwiyanti, Sheba Atma; Noviyadi, Nathasya Reinelda; Andryani, Dinda Syaqila; Utomo, Muhammad Satrio; Hikmah, Nada Fitrieyatul; Asmaria, Talitha
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3208-3219

Abstract

The clavicle is a long bone that tends to be frequently fractured in the midshaft region. The plate and screw fixing method is mainly applied to address this issue. This study aims to construct a clavicle bone implant design with a consideration to achieve a high accuracy and high-quality surface between the plate and the clavicle surface. The computational tomography scanning (CT-scan) image series data were processed using a convolutional neural network (CNN) to classify the clavicle image. The CNN outcomes were gathered as three-dimensional (3D) volume data of clavicle bone. This 3D model was then proposed for the plate design. The CNN testing results of 97.4% for the image clavicle bones classification, whereas the prints of the 3D model from clavicle bone and its plate and screw design reveal compatibility between the bone surface and the plate surface. Overall, the CNN application to the series of CT images could ease the classification of clavicle bone images that would precisely construct the 3D model of clavicle bone and its suitable clavicle bone plate design. This study could contribute as a guideline for other bone plate areas that need to fit the patient’s bone geometry.
Comparative Studies Simulation Software for Bone Plate Compression Mayasari, Dita; Muhammad, Sirojuddin Kholil; Triwardono, Joko; Malau, Daniel Panghihutan; Utomo, Muhammad Satrio; Asmaria, Talitha
Metalurgi Vol 38, No 3 (2023): Metalurgi Vol. 38 No. 3 2023
Publisher : National Research and Innovation Agency (BRIN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/metalurgi.2023.738

Abstract

Medical applications occasionally require PSI (patient-specific implant) designs to match the implant bone’s geometry. To verify and predict failures of the design as well as a treatment before the manufacturing process, FEA (finite element analysis) is employed to simulate when given a specific number of loads. Plenty of studies have done the FEA using a couple of types of software; however, to the best of our knowledge, there is no literature to compare those several FEA results with a comparable experiment. This study further analyzes material stress, particularly to compute the VMS (Von Misses stress) of the Ti6Al4V bone plate. Furthermore, this study proposes to examine and deliver a comprehensive understanding using the four most used software of COMSOL, Ansys, Abaqus, and Autodesk Inventor. The results of those four simulations are then compared with the stress test through the Hardness Vickers test. This study will contribute significantly as a novel comparison between VMS and hardness test as a stress prediction in an implant material.  
From Imaging Data to Cranioplasty Implant Designs Asmaria, Talitha; Zain, Andi Justike Mahatmala; Pramesti, Arindha Reni; Marzuki, Azwien Niezam Hawalie; Utomo, Muhammad Satrio
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 3 (2023): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeemi.v5i3.300

Abstract

The cranioplasty procedure is starting from removal the skull bone defects and replacing them with any biocompatible material, such as polymer, ceramic, or titanium alloy. The complication of the surgery as well as the high cost from several material selection required a simulation. Besides that, the case of cranial defects sometimes required a customized design. The presence of three-dimensional (3D) printing technology would be a promising tool to improve the success rate. Prior to 3D printing, the model needs to be corrected from the initial patient’s imaging data to the intended implant design. However, previous related literatures were almost not informing the specific image processing steps to gain the models, while not all operators could understand this sophisticated technique. The study aims to design an implant bone for cranioplasty purpose. The data were processed through the very clear step-by-step image processing stages, three-dimensional (3D) printing, and its evaluation through biomechanical simulation. Quantitatively, the designed cranioplasty implant could deal with the load in the actual application. Qualitatively, the prototypes have matched if applied to the host of cranium bone. In conclusion, although image processing and refinements are the most complicated process, the whole explanation indicate that the provided precise methodology could be a major reference to the similar procedure.
Fabrication of Synthetic Lumbar Vertebrae by a Combination of FDM 3D-Printing and PU Foam Casting from Two Injection Techniques for Surgical Training Triawan, Farid; Khoiriyah, Nisa; Asriyanti, A.; Utomo, Muhammad Satrio; Saptaji, Kushendarsyah; Fernandez, Nikolas Krisma Hadi; Muflikhun, Muhammad Akhsin
ASEAN Journal for Science and Engineering in Materials Vol 5, No 1 (2026): (ONLINE FIRST) AJSEM: Volume 5, Issue 1, March 2026
Publisher : Bumi Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to introduce a rapid and precise fabrication technique of lumbar vertebrae model that mimics the cortical and cancellous parts of the bone using polylactic acid (PLA) and polyurethane (PU) foam, respectively. An FDM 3D-printing using PLA filament was utilized to fabricate the cortical part, then PU foam was molded into the printed cortical to form the cancellous part. The fabricated model was examined by comparing its dimensions with the stereolithography (STL) model. Sequentially, density measurement, compressive test, and microstructure observation were performed to evaluate the specimen characteristics. The results showed that the dimensions of the vertebrae model agreed well with the STL model, with a discrepancy of less than 4%. The fabricated PU samples exhibited a density in the range of 476–557 kg/m³, elastic moduli of 3.99–7.17 MPa, and a pore size of 136.66–179.80 µm, which are lower than the properties of human bone. Despite that, the PU samples maintain their compressive strength of 0.329–0.589 MPa, which is within the range of cancellous human bone.
Co-Authors Andryani, Dinda Syaqila Asmaria, Talitha Asriyanti, A. Dita Ayu Mayasari, Dita Ayu Dita Mayasari Dwiyanti, Sheba Atma Fernandez, Nikolas Krisma Hadi Hikmah, Nada Fitrieyatul Ihtifazhuddin Hawari Khoiriyah, Nisa Kushendarsyah Saptaji Malau, Daniel Panghihutan Marzuki, Azwien Niezam Hawalie Muhammad Akhsin Muflikhun Muhammad, Sirojuddin Kholil Noviyadi, Nathasya Reinelda Pramesti, Arindha Reni Triawan, Farid Triwardono, Joko Zain, Andi Justike Mahatmala