What question did this study set out to answer?

This study aims to evaluate CT number consistency across different materials and scanner conditions using virtual monoenergetic imaging.

May 3, 2026

Mitigating CT number variability between scanners, tube potentials, and patient sizes using spectral CT virtual monoenergetic imaging.

Puntos clave

This study aims to evaluate CT number consistency across different materials and scanner conditions using virtual monoenergetic imaging.
Assessed four material inserts in two phantom sizes using three CT scanners.
Compared average CT numbers calculated from virtual monoenergetic and single-energy images.
Analyzed consistency using coefficients of variation, median, and linear models.
CT number variability decreased significantly in VMIs, with COV values for materials ranging from 6.2% to 28.8% in SE images versus 1.6% to 5.7% in VMIs.
VMIs resulted in reduced median standard deviation in CT numbers across all materials when tube potential changed.
Inter-manufacturer differences were observed in VMI CT numbers for low-density materials, impacting standardization.

Resumen

OBJECTIVE: This study assessed CT number consistency in different materials and tissues as x-ray tube potential, scanner model and manufacturer, and phantom size were varied. We investigated using virtual monoenergetic imaging (VMIs) to improve CT number consistency compared to single-energy (SE) images. Approach: Four clinically-relevant material inserts (calcium, adipose, iodine, soft tissue) were placed into two phantom sizes (28-cm and 40-cm width) and scanned at each available tube potential on three CT scanners with distinct methods of spectral data collection. SE images and VMIs were reconstructed for each scan. The average CT number of each insert was calculated for each image series, and the consistency of this average value across different combinations of scan parameters was compared between VMIs and SE images using coefficient of variation (COV), median, range and a linear model estimating scanner-based CT number differences. Main results: The COV for calcium, adipose, iodine and soft tissue inserts decreased from 10.1%, 9.7%, 28.8%, and 6.2% in SE images to 1.6%, 3.1%, 2.9%, and 5.7% in VMIs, respectively. When only tube potential was changed, the median standard deviation in insert average CT number decreased in VMIs compared to SE images in all materials. VMIs decreased the range of insert values between phantom sizes. VMIs decreased CT number variation due to scanner in both phantom sizes for iodine and in the calcium, 28-cm phantom. Inter-manufacturer differences in VMI CT numbers were observed in low density materials and the 40-cm phantom. Significance: Scan parameter variation affects CT numbers, negatively impacting quantitative imaging consistency and downstream patient metrics. This limits measurement standardization in serial studies, diverse cohorts, and between hospitals with data collection differences. VMIs from spectral CT can reduce this variability by providing more consistent material CT numbers relative to changes in tube potential, scanner model, and patient size.

Preguntar a la IA

Me gusta

Guardar