Evidence map›Paper›PMID 37258603›Full record

ArticleScientific reports2023

Panoramic dental tomosynthesis imaging by use of CBCT projection data.

Taejin Kwon, Da-In Choi, Jaehong Hwang, Taewon Lee, Inje Lee, Seungryong Cho

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Taejin KwonDepartment of Nuclear and Quantum Engineering (NQE), Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Da-In ChoiDepartment of Nuclear and Quantum Engineering (NQE), Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Jaehong HwangDepartment of Nuclear and Quantum Engineering (NQE), Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Taewon LeeDepartment of Nuclear and Quantum Engineering (NQE), Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea.
Inje LeeDepartment of ICT, Dentium Co., Ltd., Suwon, Korea.
Seungryong ChoDepartment of Nuclear and Quantum Engineering (NQE), Korea Advanced Institute of Science and Technology, Daejeon, 34141, Korea. scho@kaist.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental CBCT and panoramic images are important imaging modalities used in dental diagnosis and treatment planning. In order to acquire a panoramic image without an additional panoramic scan, in this study, we proposed a method of reconstructing a panoramic image by extracting panoramic projection data from dental CBCT projection data. After specifying the patient's dental arch from the patient's CBCT image, panoramic projection data are extracted from the CBCT projection data along the appropriate panoramic scan trajectory that fits the dental arch. A total of 40 clinical human datasets and one head phantom dataset were used to test the proposed method. The clinical human dataset used in this study includes cases in which it is difficult to reconstruct panoramic images from CBCT images, such as data with severe metal artifacts or data without teeth. As a result of applying the panoramic image reconstruction method proposed in this study, we were able to successfully acquire panoramic images from the CBCT projection data of various patients. The proposed method acquires a universally applicable panoramic image that is less affected by CBCT image quality and metal artifacts by extracting panoramic projection data from dental CBCT data and reconstructing a panoramic image.

Indexed as

Spiral Cone-Beam Computed TomographyToothAlgorithmsArtifactsCone-Beam Computed TomographyHumansImage Processing, Computer-AssistedPhantoms, ImagingRadiography, Panoramic

Identifiers

PMID37258603
PMCPMC10232452

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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.