TY - JOUR
T1 - Three-dimensional volume reconstruction from multi-slice data using a shape transformation[Formula presented]
AU - Kim, Hyundong
AU - Lee, Chaeyoung
AU - Kwak, Soobin
AU - Hwang, Youngjin
AU - Kim, Sangkwon
AU - Choi, Yongho
AU - Kim, Junseok
N1 - Funding Information:
The first author (Hyundong Kim) was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education ( NRF-2020R1A6A3A13077105 ). Chaeyoung Lee was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education ( NRF-2019R1A6A3A13094308 ). Yongho Choi was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government ( NRF-2020R1C1C1A0101153712 ). The corresponding author (Junseok Kim) was supported by Korea University Grant. The authors are grateful to the reviewers for the constructive and helpful comments on the revision of this article.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/5/1
Y1 - 2022/5/1
N2 - We present a computational method for the 3D volume reconstruction from cross-sectional data. The proposed method is based on the Allen–Cahn (AC) equation with a source term. The source term is related to shape transformation from a source object to a target object. Using the operator splitting method, the governing equation is solved by splitting it into three steps. The numerical solution is obtained explicitly using the Euler's methods and the separation of variables. To reconstruct the 3D object from two slice data, we set one slice as the target data and the other data as the initial data. We solve the governing equation and stack intermediate solutions based on the relative fraction of the symmetric difference of two regions occupied by the target and source data. To demonstrate that the proposed method can reconstruct a 3D model through extracted intermediate slice data during shape transformation, we perform several computational tests. Furthermore, the proposed method is applied to a 3D volume reconstruction from multi-slice data of human vertebra.
AB - We present a computational method for the 3D volume reconstruction from cross-sectional data. The proposed method is based on the Allen–Cahn (AC) equation with a source term. The source term is related to shape transformation from a source object to a target object. Using the operator splitting method, the governing equation is solved by splitting it into three steps. The numerical solution is obtained explicitly using the Euler's methods and the separation of variables. To reconstruct the 3D object from two slice data, we set one slice as the target data and the other data as the initial data. We solve the governing equation and stack intermediate solutions based on the relative fraction of the symmetric difference of two regions occupied by the target and source data. To demonstrate that the proposed method can reconstruct a 3D model through extracted intermediate slice data during shape transformation, we perform several computational tests. Furthermore, the proposed method is applied to a 3D volume reconstruction from multi-slice data of human vertebra.
KW - Finite difference method
KW - Phase-field model
KW - Shape transformation
KW - Volume reconstruction
UR - http://www.scopus.com/inward/record.url?scp=85126586069&partnerID=8YFLogxK
U2 - 10.1016/j.camwa.2022.03.018
DO - 10.1016/j.camwa.2022.03.018
M3 - Article
AN - SCOPUS:85126586069
SN - 0898-1221
VL - 113
SP - 52
EP - 58
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
ER -