Evaluating Image Quality of Cone Beam Computed Tomography Using HyperSight® on the Varian TrueBeam

Abstract Purpose The study evaluated the image quality of the cone beam computed tomography (CBCT) system on Varian TrueBeam linear accelerators with HyperSight (TB-HS) and compared it with the standard TrueBeam system (TB-S). Particular emphasis was placed on changes relevant to offline adaptive radiotherapy (ART). Methods Image quality was assessed using a Catphan 504 phantom on two TB-HS and two TB-S machines. Quantitative parameters included HU accuracy, uniformity, contrast-to-noise ratio (CNR), modulation transfer function (MTF), low-contrast visibility (LCV), and noise power spectrum (NPS). Measurements were performed at 100 kV and 125 kV using default clinical CBCT protocols and reconstruction algorithms. Planning CT images acquired with matching clinical protocols served as reference values. Statistical comparisons of image quality parameters between techniques and agreement with internationally recommended tolerance criteria were performed using the pairwise linear mixed models and McNemar’s tests, respectively. Additionally, eight radiographers conducted a blinded subjective image quality evaluation of CBCT images from 15 patients before and after the HyperSight installation Results Catphan analysis showed that TB-HS improved HU accuracy for high-density inserts, while uniformity and CNR showed minor, mostly non-significant differences. Spatial resolution, noise characteristics, and LCV remained unchanged. Both techniques generally met the tolerance criteria, though TB-HS did so more consistently. Subjective image quality evaluation showed no overall preference. Conclusion The HyperSight upgrade provided minor image quality enhancements but demonstrated no clear clinical advantage. Nevertheless, findings support the potential of HyperSight for offline ART. However, further investigations in patient-based applications are needed to confirm its clinical value.

Authors

Publication Details

Journal
Annals of Biomedical Engineering
Published
2026-10-03
DOI
https://doi.org/10.1007/s10439-026-04372-7
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating Image Quality of Cone Beam Computed Tomography Using HyperSight® on the Varian TrueBeam

Santeri J. O. Rytky, Jesse Lohela, Juha Nikkinen, Sakari S. Karhula
Annals of Biomedical Engineering
Advanced Radiotherapy Techniques
article

Evaluating Image Quality of Cone Beam Computed Tomography Using HyperSight® on the Varian TrueBeam

Santeri J. O. Rytky, Jesse Lohela, Juha Nikkinen, Sakari S. Karhula
article en

Abstract

Abstract Purpose The study evaluated the image quality of the cone beam computed tomography (CBCT) system on Varian TrueBeam linear accelerators with HyperSight (TB-HS) and compared it with the standard TrueBeam system (TB-S). Particular emphasis was placed on changes relevant to offline adaptive radiotherapy (ART). Methods Image quality was assessed using a Catphan 504 phantom on two TB-HS and two TB-S machines. Quantitative parameters included HU accuracy, uniformity, contrast-to-noise ratio (CNR), modulation transfer function (MTF), low-contrast visibility (LCV), and noise power spectrum (NPS). Measurements were performed at 100 kV and 125 kV using default clinical CBCT protocols and reconstruction algorithms. Planning CT images acquired with matching clinical protocols served as reference values. Statistical comparisons of image quality parameters between techniques and agreement with internationally recommended tolerance criteria were performed using the pairwise linear mixed models and McNemar’s tests, respectively. Additionally, eight radiographers conducted a blinded subjective image quality evaluation of CBCT images from 15 patients before and after the HyperSight installation Results Catphan analysis showed that TB-HS improved HU accuracy for high-density inserts, while uniformity and CNR showed minor, mostly non-significant differences. Spatial resolution, noise characteristics, and LCV remained unchanged. Both techniques generally met the tolerance criteria, though TB-HS did so more consistently. Subjective image quality evaluation showed no overall preference. Conclusion The HyperSight upgrade provided minor image quality enhancements but demonstrated no clear clinical advantage. Nevertheless, findings support the potential of HyperSight for offline ART. However, further investigations in patient-based applications are needed to confirm its clinical value.

Annals of Biomedical Engineering
Openalex Percentile: Top 12%
Advanced Radiotherapy Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Evaluating Image Quality of Cone Beam Computed Tomography Using HyperSight® on the Varian TrueBeam — Santeri J. O. Rytky, Jesse Lohela, et al. · Annals of Biomedical Engineering (2026) | TGRS Research Map | TGRS