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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

Eliminate artifacts

Better motion information

Increased SNR

Radiation Oncology

easily model incompressible tissue

Optimal Treatment Planning

Reduced Diagnostic Dose

CT data acquisition model

Experimental Validation: Phantom Studies

Simulation

Scan

Patient Results

Treatment

Therapy Planning

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

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