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J Dent Res Dent Clin Dent Prospects. 2019;13(3): 177-182. doi: 10.15171/joddd.2019.028
PMID: 31857863        PMCID: PMC6904917

Original Article

Comparison of the Hounsfield unit in CT scan with the gray level in cone-beam CT

Tahmineh Razi 1 ORCID, Parya Emamverdizadeh 2, Nadia Nilavar 1 ORCID, Sedigheh Razi 1 * ORCID

Cited by CrossRef: 12

1- Al-Saeed Y, A. Gab-Allah W, Soliman H, F. Abulkhair M, M. Shalash W, Elmogy M. Efficient Computer Aided Diagnosis System for Hepatic Tumors Using Computed Tomography Scans. 2022;71(3):4871 [Crossref]
2- Putra R, Cooray U, Nurrachman A, Yoda N, Judge R, Putri D, Astuti E. Radiographic alveolar bone assessment in correlation with primary implant stability: A systematic review and meta‐analysis. Clinical Oral Implants Res. 2024;35(1):1 [Crossref]
3- Saxena T, Kumar R, I.K K, Sanghmitra Arya S, Bhattacharya S, Sridhar I. OSSEODENSIFICATION CONCEPT IN IMPLANT DENTISTRY. ijsr. 2023;:63 [Crossref]
4- Schnutenhaus S, Götz W, Dreyhaupt J, Rudolph H, Luthardt R, Edelmann C. Associations among Primary Stability, Histomorphometric Findings, and Bone Density: A Prospective Randomized Study after Alveolar Ridge Preservation with a Collagen Cone. Dentistry Journal. 2020;8(4):112 [Crossref]
5- Marques M, Pereira da Silva N, van der Heijde D, Reijnierse M, Baraliakos X, Braun J, van Gaalen F, Ramiro S. Low-dose CT hounsfield units: a reliable methodology for assessing vertebral bone density in radiographic axial spondyloarthritis. RMD Open. 2022;8(2):e002149 [Crossref]
6- Lim H, Jung S, Kim S, Cho Y, Song I. Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network. BMC Oral Health. 2021;21(1) [Crossref]
7- Mense C, Saliba-Serre B, Ferrandez A, Hüe O, Ruquet M, Lalys L. Cone beam computed tomography analysis of the edentulous mandibular symphysis. Journal of Dental Sciences. 2021;16(1):115 [Crossref]
8- Selvaraj A, Jain R, Nagi R, Balasubramaniam A. Correlation between gray values of cone-beam computed tomograms and Hounsfield units of computed tomograms: A systematic review and meta-analysis. Imaging Sci Dent. 2022;52(2):133 [Crossref]
9- Rigaut C, Deruyver L, Goole J, Haut B, Lambert P. Instillation of a Dry Powder in Nasal Casts: Parameters Influencing the Olfactory Deposition With Uni- and Bi-Directional Devices. Front Med Technol. 2022;4 [Crossref]
10- Pithani K, Vadhi R. Enhanced non-alcoholic fatty liver detection: Computed tomography scan image analysis and noise reduction with morphological dilation. Arab Journal of Gastroenterology. 2024;25(1):1 [Crossref]
11- Mello-Machado R, de Almeida Barros Mourão C, Javid K, Ferreira H, Montemezzi P, Calasans-Maia M, Senna P. Clinical Assessment of Dental Implants Placed in Low-Quality Bone Sites Prepared for the Healing Chamber with Osseodensification Concept: A Double-Blind, Randomized Clinical Trial. Applied Sciences. 2021;11(2):640 [Crossref]
12- Hu Y, Xu S, Li B, Inscoe C, Tyndall D, Lee Y, Lu J, Zhou O. Improving the accuracy of bone mineral density using a multisource CBCT. Sci Rep. 2024;14(1) [Crossref]
13- Supachaiyakit P, Serichetaphongse P, Chengprapakorn W. The influence of implant design on implant stability in low‐density bone under guided surgical template in inexperienced surgeons: A pilot randomized controlled clinical trial using resonance frequency analysis. Clin Implant Dent Rel Res. 2022;24(4):444 [Crossref]
14- Yadegari A, Safi Y, Shahbazi S, Yaghoutiazar S, Ghazizadeh Ahsaie M. Assessment of CBCT gray value in different regions-of-interest and fields-of-view compared to Hounsfield unit. 2023;52(8) [Crossref]
15- Taxis J, Platz Batista da Silva N, Grau E, Spanier G, Nieberle F, Maurer M, Spoerl S, Meier J, Ettl T, Reichert T, Ludwig N. Novel Three-Dimensional and Non-Invasive Diagnostic Approach for Distinction between Odontogenic Keratocysts and Ameloblastomas. Dentistry Journal. 2023;11(8):193 [Crossref]
16- Naser A, Hamed R, Taqa G. The impact of synthetic bone grafting for tissue regeneration. Brazj of oral sci. 2024;23 [Crossref]

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