Abstract
CT protocol selection (kVp, mAs, filtration) can greatly affect the dose delivered to a patient and the quality of
the resulting images. While it is imperative to get diagnostic quality images from a study, the dose to the patient
should be minimized. With synthetic CT, protocol optimization is made simple by simulating realistic scans
of arbitrary low dose protocols from a previously acquired dual energy scan. For single energy protocols, the
simulated projections have the same statistical properties as projections from an actual scan. The reconstruction
of these synthesized projections then provides realistic images at a different protocol. For dual energy protocols,
the material decomposition of the simulated protocol is directly synthesized. Moreover, the dose distribution
from an arbitrary protocol (single or dual energy) can be found and used in conjunction with the predicted image
quality for protocol design.
We demonstrate single energy synthetic CT on a clinical study by synthesizing a 120 kVp image from a dual
energy dataset. The synthesized image is compared to an actual 120 kVp image on the same patient, showing
excellent agreement. We also describe a framework for implementing synthetic CT in software that is intuitive
to use and allows radiologists to see the impact of protocol selection on image quality and dose distribution. A
simple GUI demonstrates the vision for synthetic CT by allowing for the comparison of several dose reduction
techniques: filtration, mA modulation, partial scan, or shielding. In particular, objects such as a breast shield
can be simulated and virtually inserted as part of the original scan. In each case, the kVp and mAs can be
adjusted while the synthesized image and dose profile are updated in real-time. With such software, synthetic
CT can be applied as an educational and scientific tool for radiologists concerned with dose and image quality.