journal article·2026-01-29Open access

In Silico Investigation of an Innovative Cone-Beam CT Configuration for Quantitative Imaging

Antonio Sarno, Ivan Veronese, Paolo Mauriello, Immacolata Vanore, Antonio Minopoli, Carlos Maximiliano Mollo, Silvio Pardi, Gianfranco Paternò, Mariagabriella Pugliese, Riccardo de Asmundis, Paolo Cardarelli

Applied Sciences· Volume 16· Issue 3

Abstract

Quantitative evaluations in 3D images acquired via Cone-Beam Computed Tomography (CBCT) are limited by the scatter abundance and cone-beam artifacts. This work investigates benefits in using an innovative scanning geometry in CBCT (eCT), which replaces each projection of the conventional scanning protocol with a series of collimated projections (Np) acquired over an oscillating trajectory, realized either with an oscillating source or a multi-spot array. In silico tests employed a cylindrical water phantom embodying inserts of four biological materials. 1 mm-thick bone slabs were sandwiched between 9 mm water slabs to evaluate the image conspicuity. eCT improved the Hounsfield Unit (HU) accuracy, with a direct relation with Np. eCT with Np = 10 reduced the bias of the estimated HU more than two times when compared to CBCT. Increasing the Np presented a large impact on the image conspicuity for portions of the field of view (FOV) distant from the central axial plane, with the signal-to-noise ratio between water and bone slabs increasing by a factor of 18 for Np = 10 compared to CBCT. The proposed eCT configuration is expected to be adopted in applications without strict demand for scanning time and projection number, such as dentomaxillofacial and intrasurgical imaging, imaging of the extremities, and image-guided radiotherapy.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Medical Imaging Techniques and Applications · Dental Radiography and Imaging · Advanced X-ray and CT Imaging

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Dipartimento di Fisica “Aldo Pontemoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy

INFN Sezione di Milano, Via Celoria 16, 20133 Milano, Italy

Dipartimento di Fisica “Ettore Pancini”, Università di Napoli Federico II, Complesso Universitario di Monte Sant’Angelo, Via Cinthia 21, 80126 Napoli, Italy

INFN Sezione di Napoli, Complesso Universitario di Monte Sant’Angelo, Via Cinthia 21, 80126 Napoli, Italy

INFN Sezione di Ferrara, Via G. Saragat 1, 44122 Ferrara, Italy

Funding

National Recovery and Resilience Plan · European Union—NextGenerationEU– · HPC IBiSCo Cluster

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