TY - GEN
T1 - Slice Reconstruction on 3D Medical Image using Optical Flow Approach
AU - Supriyanto, Muhammad Ibadurrahman Arrasyid
AU - Fajar, Aziz
AU - Sarno, Riyanarto
AU - Fatichah, Chastine
AU - Fahmi, Achmad
AU - Utomo, Sri Andreani
AU - Notopuro, Francisca
N1 - Funding Information:
From the experiment we can conclude use of the optical flow method in image reconstruction between I0 and I1 after interpolation has an increase in the similarty structure value of 0.002, a decrease in the NMSE value of 0.04, and an increase in the PSNR value of 2 leading to figure I0 rather than without using optical flow ACKNOWLEDGMENT This research was funded by AUN/SEED-Net under Special Program for Research Against COVID-19 (SPRAC) and the Ministry of Research and Technology/National Research and Innovation Agency Republic of Indonesia (Ristek-BRIN) and the Indonesian Ministry of Education and Culture under RISPRO Invitation Program managed by Lembaga Pengelola Dana Pendidikan (LPDP) and under Penelitian Terapan Unggulan Perguruan Tinggi (PTUPT) Program managed by Institut Teknologi Sepuluh Nopember (ITS).
Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/8
Y1 - 2021/4/8
N2 - High-resolution, high-quality imagery forms the basis of accurate 3D reconstructions. 3D reconstruction is obtained from a 3-dimensional stacking array or image sequence. In some cases the resulting slice image has a low resolution so that some parts miss information when reconstructed into 3D. The reconstruction of the new slice carried out by the researcher using the 3D interpolation technique has a disadvantage, namely that when the calculation is carried out using the structure similarity evaluation metrics, it is still unsatisfactory, therefore the following research will try to reconstruct a new slice using the optical flow approach to calculate the displacement vector field between the two adjacent slices and also we will evaluate the comparative suitability of various interpolation techniques using root mean square error (RMSE), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM). experimental results shows that the use of the optical flow method in image reconstruction between I0 and I1 after interpolation has an increase in the similarity structure value of 0.002, a decrease in the NMSE value of 0.04, and an increase in the PSNR value of 2 leading to figure I0 rather than without using optical flow.
AB - High-resolution, high-quality imagery forms the basis of accurate 3D reconstructions. 3D reconstruction is obtained from a 3-dimensional stacking array or image sequence. In some cases the resulting slice image has a low resolution so that some parts miss information when reconstructed into 3D. The reconstruction of the new slice carried out by the researcher using the 3D interpolation technique has a disadvantage, namely that when the calculation is carried out using the structure similarity evaluation metrics, it is still unsatisfactory, therefore the following research will try to reconstruct a new slice using the optical flow approach to calculate the displacement vector field between the two adjacent slices and also we will evaluate the comparative suitability of various interpolation techniques using root mean square error (RMSE), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM). experimental results shows that the use of the optical flow method in image reconstruction between I0 and I1 after interpolation has an increase in the similarity structure value of 0.002, a decrease in the NMSE value of 0.04, and an increase in the PSNR value of 2 leading to figure I0 rather than without using optical flow.
KW - 3D
KW - DICOM
KW - medical imaging
KW - optical flow
KW - reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85107927699&partnerID=8YFLogxK
U2 - 10.1109/APWiMob51111.2021.9435238
DO - 10.1109/APWiMob51111.2021.9435238
M3 - Conference contribution
AN - SCOPUS:85107927699
T3 - Proceedings - 2021 IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2021
SP - 242
EP - 246
BT - Proceedings - 2021 IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2021
Y2 - 8 April 2021 through 9 April 2021
ER -