3 citations · 6 across the 6 of their papers we have counts for
6 papers
Neural Representation-Based Method for Metal-induced Artifact Reduction in Dental CBCT Imaging
Hyoung Suk Park, Kiwan Jeon, Jin Keun Seo
This study introduces a novel reconstruction method for dental cone-beam computed tomography (CBCT), focusing on effectively reducing metal-induced artifacts commonly encountered i…
Nonlinear ill-posed problem in low-dose dental cone-beam computed tomography
Hyoung Suk Park, Chang Min Hyun, Jin Keun Seo
This paper describes the mathematical structure of the ill-posed nonlinear inverse problem of low-dose dental cone-beam computed tomography (CBCT) and explains the advantages of a…
Dipole Incompatibility Related Artifacts in Quantitative Susceptibility Mapping
Liangdong Zhou, Jae Kyu Choi, Youngwook Kee +2
Artifacts in quantitative susceptibility mapping (QSM) are analyzed to establish an optimal design criterion for QSM inversion algorithms. The magnetic field data is decomposed int…
Magnetic resonance-based reconstruction method of conductivity and permittivity distributions at the Larmor frequency
Habib Ammari, Hyeuknam Kwon, Yoonseop Lee +2
Magnetic resonance electrical property tomography is a recent medical imaging modality for visualizing the electrical tissue properties of the human body using radio-frequency magn…
Electrical impedance tomography-based pressure-sensing using conductive membrane
Habib Ammari, Kyungkeun Kang, Kyounghun Lee +1
This paper presents a mathematical framework for a flexible pressure-sensor model using electrical impedance tomography (EIT). When pressure is applied to a conductive membrane pat…
Mathematical modeling of mechanical vibration assisted conductivity imaging
Habib Ammari, Eunjung Lee, Hyeuknam Kwon +2
This paper aims at mathematically modeling a new multi-physics conductivity imaging system incorporating mechanical vibrations simultaneously applied to an imaging object together…