TY - GEN
T1 - Image Processing
T2 - 2022 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications, ICRAMET 2022
AU - Alfirano,
AU - Asmaria, Talitha
AU - Hikmah, Nada Fitrieyatul
AU - Adinda, Aura
AU - Renmatubela, Nurrahma Fitra
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Image processing popularly reconstructs the original image to become the intended image that reveals certain information. In the medical field, a technique of image processing, particularly segmentation, is a fundamental step for further analysis. This study aims to segment the femur bone in a three-dimensional (3D) model from the whole image area of the lower extremity for any other medical purpose, such as implant or surgery planning. This study's segmentation is building a specific algorithm using Matlab. This technique is considered to eliminate the drawbacks of automated software in the segmentation process, such as DICOM viewer and analyzing software with inconsistent accuracy and purchase at high cost. Results from this study show that the segmented femur model has more prolonged, about 30%, than the original image. Although the measurement also finds significant differences between automatic and manual segmentation, this trial significantly increases knowledge of the possibility of using manual segmentation to solve problems while using the DICOM viewer software.
AB - Image processing popularly reconstructs the original image to become the intended image that reveals certain information. In the medical field, a technique of image processing, particularly segmentation, is a fundamental step for further analysis. This study aims to segment the femur bone in a three-dimensional (3D) model from the whole image area of the lower extremity for any other medical purpose, such as implant or surgery planning. This study's segmentation is building a specific algorithm using Matlab. This technique is considered to eliminate the drawbacks of automated software in the segmentation process, such as DICOM viewer and analyzing software with inconsistent accuracy and purchase at high cost. Results from this study show that the segmented femur model has more prolonged, about 30%, than the original image. Although the measurement also finds significant differences between automatic and manual segmentation, this trial significantly increases knowledge of the possibility of using manual segmentation to solve problems while using the DICOM viewer software.
KW - 3D femur bone
KW - DICOM file
KW - image processing
KW - segmentation
KW - thresholding
UR - http://www.scopus.com/inward/record.url?scp=85146431636&partnerID=8YFLogxK
U2 - 10.1109/ICRAMET56917.2022.9991190
DO - 10.1109/ICRAMET56917.2022.9991190
M3 - Conference contribution
AN - SCOPUS:85146431636
T3 - Proceeding - 2022 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications: Emerging Science and Industrial Innovation in Electronics and Telecommunication, ICRAMET 2022
SP - 189
EP - 193
BT - Proceeding - 2022 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 December 2022 through 7 December 2022
ER -