Academic Journal

Development of a novel material specific imaging algorithm and dual-energy CBCT technology for the next generation imaging solution on O-ring linacs.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Development of a novel material specific imaging algorithm and dual-energy CBCT technology for the next generation imaging solution on O-ring linacs.
Συγγραφείς: Smith B; Department of Physics & Atmospheric Science, Dalhousie University, Halifax, NS, Canada., Sattarivand M; Department of Physics & Atmospheric Science, Dalhousie University, Halifax, NS, Canada.; Department of Medical Physics, Nova Scotia Health Authority, Halifax, NS, Canada.; Department of Radiation Oncology, Dalhousie University, Nova Scotia Cancer Centre, Halifax, NS, Canada.; Department of Oncology, University of Alberta, Edmonton, AB, Canada.
Πηγή: Physics in medicine and biology [Phys Med Biol] 2026 Sep 29; Vol. 71 (19). Date of Electronic Publication: 2026 Sep 29.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: IOP Publishing Country of Publication: England NLM ID: 0401220 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-6560 (Electronic) Linking ISSN: 00319155 NLM ISO Abbreviation: Phys Med Biol Subsets: MEDLINE
Imprint Name(s): Original Publication: Bristol : IOP Publishing
Ιατρικοί όροι (MeSH): Cone-Beam Computed Tomography*/instrumentation , Cone-Beam Computed Tomography*/methods , Image Processing, Computer-Assisted*/methods , Particle Accelerators*/instrumentation , Algorithms*, Phantoms, Imaging ; Humans
Περίληψη: Objective.Dual-energy (DE) imaging techniques using cone-beam computed tomography (CBCT) have applications for radiotherapy (RT) including material separation and quantification, improved contrast-to-noise ratios (CNR), and reduced metal artifacts. Traditional limitations of CBCT can be addressed by using HyperSight imaging on O-ring gantry RT units, however, DE imaging technologies have yet to be established for HyperSight. The objective of this study was to implement DE technology for HyperSight by developing a novel material specific imaging algorithm and adopting a virtual monoenergetic imaging (VMI) method.Approach.Images of a calibration phantom with various material inserts, including concentrations of iodine and calcium, were obtained at 80 and 140 kVp. A novel material separation algorithm was developed using DE Hounsfield unit values with statistical classification via the Mahalanobis distance and confidence filtering to differentiate six material groups (lung, soft tissue, fat tissue, iodine, calcium, bone). The algorithm includes concentration/density mapping via interpolation between calibrated values and was evaluated using an anthropomorphic phantom. VMIs were developed using an established method based on weighted addition of high- and low-energy images to quantify CNR enhancement and metal artifact reduction (MAR).Main results.Iodine and calcium were separable for concentrations above 47 mg I ml-1and 303 mg Ca ml-1, whereas iodine and bone were separable above 25 mg I ml-1and 1.4 g cm-3, respectively. Soft tissue, fat tissue, and lung demonstrated reasonable classification with accuracies of 94.6%, 91.7%, and 97.8%, respectively. At 75 keV, CNR improved by 52% for inner bone, 41% for liver, and 88% for exhale lung compared to the single-energy (SE) reference. At 70 keV, MAR improved by 11% compared to the SE reference.Significance.This study demonstrates the feasibility of DE CBCT technology on the HyperSight imaging system through a novel statistical material specific imaging algorithm and VMI-based CNR improvements and metal artifact reduction.
(Creative Commons Attribution license.)
Contributed Indexing: Keywords: CBCT; dual-energy; material specific imaging; virtual monoenergetic imaging
Entry Date(s): Date Created: 20260918 Date Completed: 20260929 Latest Revision: 20260929
Update Code: 20260929
DOI: 10.1088/1361-6560/aea9e8
PMID: 42759548
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1361-6560
DOI:10.1088/1361-6560/aea9e8