Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jusikom : Jurnal Sistem Komputer Musirawas
Andryani, Dinda Syaqila
Unknown Affiliation
Computer Science & IT Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
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.
PENGEMBANGAN 3D MODELLING CRANIOPLASTY UNTUK MEMBANTU DOKTER DALAM PENCETAKAN IMPLANT Andryani, Dinda Syaqila; Aripin, Aripin; Amrullah, Muhammad Rifqi Hanif
Jusikom : Jurnal Sistem Komputer Musirawas Vol 8 No 2 (2023): Jusikom : Jurnal Sistem Komputer Musi Rawas DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v8i2.2359

Abstract

Perkembangan teknologi 3D printing dapat dimanfaatkan untuk mendesain dan mencetak implan pra-operasi dengan keunggulan geometri yang baik. Pada kasus kerusakan tengkorak kepala, dokter ahli bedah mengalami kesulitan dalam melakukan operasi agar tidak terjadinya komplikasi. Sehingga dibutuhkan prosedur bedah cranioplasty untuk mengembalikan bentuk dan fungsi tengkorak yang rusak. Dalam kegiatan ini, dokter ahli bedah memerlukan rekonstruksi tulang kepala sebagai acuan pencetakan implan. Tujuan penelitian ini adalah membantu dokter ahli bedah dalam mendesain implan yang sesuai dengan anatomi kepala sehingga dapat digunakan untuk memperbaiki kerusakan tengkorak kepala. Metode yang digunakan adalah medical reverse engineering yang meliputi tahapan memasukkan data DICOM CT-Scan kepala pasien, melakukan proses segmentasi data DICOM, pengolahan dan perbaikan gambar 3D, merekonstruksi fraktur tulang, slicing, pencetakan 3D printing, silicon molding, fitting mold, dan pencetakan implan menggunakan bone cement. Berdasarkan evaluasi terhadap hasil cetak implan dalam penelitian ini adalah pencetakan implan mendapatkan hasil yang presisi sesuai dengan defek tulang kepala pasien. Dengan demikian, dokter ahli bedah dapat memanfaatkan untuk memperbaiki kerusakan tengkorak kepala.
Co-Authors Amrullah, Muhammad Rifqi Hanif Aripin Asmaria, Talitha Dita Ayu Mayasari, Dita Ayu Dwiyanti, Sheba Atma Hikmah, Nada Fitrieyatul Ihtifazhuddin Hawari Noviyadi, Nathasya Reinelda Utomo, Muhammad Satrio