Relative stopping power precision in time-of-flight proton CT

TL;DR

This paper analyzes the precision of time-of-flight proton CT systems in measuring residual proton energy, deriving noise models and comparing TOF-based methods to calorimeter-based systems, highlighting their relative image noise performance.

Contribution

It provides a quantitative noise analysis for TOF proton CT, establishing closed-form expressions and comparing its performance to calorimeter-based systems.

Findings

TOF proton CT with 30 ps/m velocity error has similar noise to 1% calorimeter energy error.

A 50 ps/m TOF system produces slightly less noise than a 2% calorimeter system.

Noise is spatially inhomogeneous, increasing towards the object periphery.

Abstract

Proton computed tomography (CT) is similar to x-ray CT but relies on protons rather than photons to form an image. In its most common operation mode, the measured quantity is the amount of energy that a proton has lost while traversing the imaged object from which a relative stopping power map can be obtained via tomographic reconstruction. To this end, a calorimeter which measures the energy deposited by protons downstream of the scanned object has been studied or implemented as energy detector in several proton CT prototypes. An alternative method is to measure the proton's residual velocity and thus its kinetic energy via the time of flight (TOF) between at least two sensor planes. In this work, we study the precision, i.e. image noise, which can be expected from TOF proton CT systems. We rely on physics models on the one hand and statistical models of the relevant uncertainties on the other to derive closed form expressions for the noise in projection images. The TOF measurement error scales with the distance between the TOF sensor planes and is reported as velocity error in ps/m. We use variance reconstruction to obtain noise maps of a water cylinder phantom given the scanner characteristics and additionally reconstruct noise maps for a calorimeter-based proton CT system as reference. We find that TOF proton CT with 30 ps/m velocity error reaches similar image noise as a calorimeter-based proton CT system with 1% energy error (1 sigma error). A TOF proton CT system with a 50 ps/m velocity error produces slightly less noise than a 2% calorimeter system. Noise in a reconstructed TOF proton CT image is spatially inhomogeneous with a marked increase towards the object periphery. This systematic study of image noise in TOF proton CT can serve as a guide for future developments of this alternative solution for estimating the residual energy of protons after the scanned object.