SU-F-J-118: On-Treatment 4D CT Reconstruction From Planning 4D CT Using Linear Amplitude Scaling

Authors


Abstract

Purpose:

To reconstruct on-treatment 4D CT images from planning 4D CT images by adapting deformation vector field (DVF) of the planning CT to the on-treatment condition, while the adaptation is based on the scaling of two amplitudes that are motion characteristics at the times of treatment and planning CT acquisition, respectively.

Methods:

An anthropomorphic digital phantom (XCAT) was used to generate 4D image sets with 1-cm and 2-cm tumor motions simulating conditions of planning CT and treatment, respectively. DVFs were acquired from the planning CT image set. The DRR images were acquired simulating setup kV images from the two CT image sets. On the DRR images, tumor positions and their motion amplitudes were quantified. The DVFs were scaled linearly by the amplitude ratio between the treatment and the planning CT times, assuming the elasticity of lung. The scaled DVFs were used to resample the planning 4D CT images generating on-treatment 4D CT images. The on-treatment 4D CT images thus acquired were compared with the reference on-treatment images (2-cm motion).

Results:

The resampled images showed good agreement within 1 mm residual errors with the reference images. The normalized cross correlation was 0.995.

Conclusion:

A linear model of amplitude scaling was developed to reconstruct on-treatment 4D CT images from planning 4D CT images using the setup KV images acquired during treatment. The model was validated on a digital phantom. For the model to fully work, a further research needs to be followed, that aims at utilizing a phase-specific CT image set that is geometrically identical between pretreatment and treatment conditions.

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