MED In the literature: partially resolved

Patient stopping-power accuracy below one percent

In plain words

The plan converts a CT scan into a map of how fast particles slow down. Converting image numbers into that map introduces an error of a few percent, which becomes a few millimetres of range error.

Precise statement

Determine the stopping power of patient tissues relative to water from imaging to better than 1 percent root-mean-square, including tissue mean excitation energies relative to water and tissue-composition variability. Candidate routes: dual-energy CT, photon-counting spectral CT, proton CT. An answer is a validated conversion with a stated uncertainty budget.

What would settle it

Direct proton-beam measurement of stopping power in tissue samples and phantoms compared against the imaging-derived map.

Status in the literature

Dual-energy CT lowered relative stopping-power errors to roughly 1 percent by 2023; tissue I-values and tissue-composition variability remain the dominant residual terms.

See also