The U.S. National Cancer Institute (NCI) has released a final version of its CT dose calculation software that is free for research purposes.
Based on work by Bahadori et al in 2015, the algorithm incorporates a CT dose index (CTDI) library based on machine outputs of more than 160 different scanners. The application calculates dose from an organ dose library that has been validated organ by organ and scanner by scanner.
Currently available resources include a computational human phantom series (binary voxel format or DICOM-image + structure), the National Cancer Institute Dosimetry System for Computed Tomography (NCICT), and dose coefficients for internal and external radiation exposure scenarios.
Individuals interested in obtaining these resources for research can visit the NCI dose application website, click on the "Agreement" tab, fill out the online form, and submit the software transfer agreement to the NCI Technology Transfer Center.
Auntminnie.com originally reported on the NCI project in December 2015.
![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&dpr=2&fit=crop&h=167&q=70&w=250)
