4D Image Reconstruction for Radiation Oncology
Jacob Hinkle
5th year PhD Student.
4D Reconstruction
an integrated approach
4D MAP Image Reconstruction
Model Both Organ Motion & CT Data Acquisition
Constitutive tissue modeling
Better motion information
Radiation Oncology
easily model incompressible tissue
Optimal Treatment Planning
Reduced Diagnostic Dose
CT data acquisition model
Experimental Validation: Phantom Studies
Patient Results
Patient Motion
Inconsistent Data
TM
GE Advantage 4D Reconstruction
Animate Porcine Liver Phantom
Proposed Method
Noisy Image
Suboptimal
Treatment
Motion-Induced Artifacts
4D MAP Image Reconstruction
Sarang Joshi
Jacob Hinkle
P Thomas Fletcher
Bill J Salter
Brian Wang
Martin Szegedi
4D RCCT
Example: Conebeam CT
Binning Algorithms
Amplitude Binning
Phase Binning
Simulation