Evidence map›Paper›PMID 39610702›Full record

ArticleComputational and structural biotechnology journal2024

Source-detector trajectory optimization for FOV extension in dental CBCT imaging.

S M Ragib Shahriar Islam, Ander Biguri, Claudio Landi, Giovanni Di Domenico, Benedikt Schneider, Pascal Grün, Cristina Sarti, Ramona Woitek, Andrea Delmiglio, Carola-Bibiane Schönlieb and 4 more

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

S M Ragib Shahriar IslamAustrian Center for Medical Innovation and Technology, Wiener Neustadt, Austria.
Ander BiguriDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom.
Claudio LandiSeeThrough SrL, Via Bolgara 2, Brusaporto (BG), Italy.
Giovanni Di DomenicoDepartment of Physics and Earth Science, University of Ferrara, Ferrara, Italy.
Benedikt SchneiderCenter for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University (DPU), Krems, Austria.
Pascal GrünCenter for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University (DPU), Krems, Austria.
Cristina SartiSeeThrough SrL, Via Bolgara 2, Brusaporto (BG), Italy.
Ramona WoitekResearch Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Department of Medicine, Danube Private University (DPU), Krems, Austria.
Andrea DelmiglioSeeThrough SrL, Via Bolgara 2, Brusaporto (BG), Italy.
Carola-Bibiane SchönliebDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom.
Dritan TurhaniCenter for Oral and Maxillofacial Surgery, Department of Dentistry, Faculty of Medicine and Dentistry, Danube Private University (DPU), Krems, Austria.
Gernot KronreifAustrian Center for Medical Innovation and Technology, Wiener Neustadt, Austria.
Wolfgang BirkfellnerCenter for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, Austria.
Sepideh HatamikiaResearch Center for Clinical AI-Research in Omics and Medical Data Science (CAROM), Department of Medicine, Danube Private University (DPU), Krems, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In dental imaging, Cone Beam Computed Tomography (CBCT) is a widely used imaging modality for diagnosis and treatment planning. Small dental scanning units are the most popular due to their cost-effectiveness. However, these small systems have the limitation of a small field of view (FOV) as the source and detector move at a limited angle in a circular path. This often limits the FOV size. In this study, we addressed this issue by modifying the source-detector trajectory of the small dental device. The main goal of this study was to extend the FOV algorithmically by acquiring projection data with optimal projection angulation and isocenter location rather than upgrading any physical parts of the device. A novel algorithm to implement a Volume of Interest (VOI) guided trajectory is developed in this study based on the small dental imaging device's geometry. In addition, this algorithm is fused with a previously developed off-axis scanning method which uses an elliptical trajectory, to compensate for the existing constraints and to further extend the FOV. A comparison with standard circular trajectory is performed. The FOV of such a standard trajectory is a circle of 11 cm diameter in the axial plane. The proposed novel trajectory extends the FOV significantly and a maximum FOV of 19.5 cm is achieved with the Structural Similarity Index Measure (SSIM) score ranging between (≈98-99%) in different VOIs. The study results indicate that the proposed source-detector trajectory can extend dental imaging FOV and increase imaging performance, which ultimately results in more precise diagnosis and enhanced patient outcomes.

Indexed as

Dental CBCTField of viewImage reconstructionInterventional radiologyTrajectory optimization

Identifiers

PMID39610702
PMCPMC11602572

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.