To develop a general method for human tissue characterization with dual-and multi-energy
CT and evaluate its performance in determining elemental compositions and quantities …

Monte Carlo (MC) dose calculations are performed on patient geometries derived from
computed tomography (CT) images. For most available MC codes, the Hounsfield units (HU) …

Purpose: The authors describe a novel method of predicting mass density and elemental
mass fractions of tissues from dual energy CT (DECT) data for Monte Carlo (MC) based …

A number of Monte Carlo codes are available, which can be used to calculate dose
distributions in patients with high accuracy. Patient geometry can readily be derived with …

In the conventional procedure for accurate Monte Carlo simulation of radiotherapy, a CT
number given to each pixel of a patient image is directly converted to mass density and …

We describe a new method to convert CT numbers into mass density and elemental weights
of tissues required as input for dose calculations with Monte Carlo codes such as EGS4. As …

PURPOSE: Tissue segmentation is an important step in Monte Carlo (MC) dose calculation
and is often done uncritically. A new approach to tissue segmentation using dual-energy CT …

We discovered an empirical relationship between the logarithm of mean excitation energy
(ln I m) and the effective atomic number (EAN) of human tissues, which allows for computing …

A method to establish the relationship between CT number and effective density for
therapeutic radiations is proposed. We approximated body tissues to mixtures of muscle, air …

Radiotherapy and particle therapy treatment planning require accurate knowledge of the
electron density and elemental composition of the tissues in the beam path to predict the …