Relationship between Hounsfield Unit in CT Scan and Gray Scale in CBCT

Razi, Tahmineh; Niknami, Mahdi; Ghazani, Fakhri Alavi

doi:10.5681/joddd.2014.019

Cited by 55 publications

(31 citation statements)

References 9 publications

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“…Twelve of the 14 included studies were in vitro studies, while 2 were in vivo studies. Six out of the 12 in vitro studies 20 21 22 23 24 25 used linear regression to assess the correlations between CBCT GVs and CT HUs. Five of these studies 20 21 22 23 24 reported strong linear correlations, while 1 study 25 reported that CBCT could be used to estimate the BMD from voxel values, but the relationship was non-linear (R 2 =0.982).…”

Section: Resultsmentioning

confidence: 99%

“…The equipment employed and the methodological criteria used for reporting the outcomes differed among the studies included in the review. Four of the 14 studies 20 21 26 28 have compared the GVs of CBCT with CT, 8 studies 10 11 19 22 23 24 25 27 29 between CBCT and MSCT/MDCT, and 1 study 19 compared CBCT with spiral CT. Although the imaging geometry of the equipment utilized in the included studies varied, most of the included studies indicated that there was a strong correlation between the GVs of CBCT and HUs of MSCT, MDCT, or spiral CT.…”

Section: Discussionmentioning

confidence: 99%

“…Parsa et al 22 proposed another equation: HU=0.67×voxel gray value from CBCT-171.80. Meanwhile, other studies 21 24 25 27 30 have calculated the GVs of CBCT from linear regression equations. It was possible to derive HUs using density conversion factors from these results.…”

Section: Discussionmentioning

confidence: 99%

“… 11 20 23 24 25 27 28 Among these studies, only Mah et al 20 used standard phantoms with appropriate consideration of the production process. Some 10 22 26 29 only assessed the hard tissues using dry mandibles, while 1 study 21 used a sheep’s head to analyze hard and soft tissues. Out of 12 in vitro studies, studies involving only phantoms with materials, particularly that by Mah et al, 20 exhibited high correlation coefficients (R 2 =0.999), which could be related to the lack of a soft tissue effect on the results and standard phantoms.…”

Section: Discussionmentioning

confidence: 99%

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Correlation between gray values of cone-beam computed tomograms and Hounsfield units of computed tomograms: A systematic review and meta-analysis

et al. 2022

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Purpose The aim of this review was to systematically analyze the available literature on the correlation between the gray values (GVs) of cone-beam computed tomography (CBCT) and the Hounsfield units (HUs) of computed tomography (CT) for assessing bone mineral density. Materials and Methods A literature search was carried out in PubMed, Cochrane Library, Google Scholar, Scopus, and LILACS for studies published through September 2021. In vitro , in vivo , and animal studies that analyzed the correlations GVs of CBCT and HUs of CT were included in this review. The review was prepared according to the PRISMA checklist for systematic reviews, and the risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. A quantitative analysis was performed using a fixed-effects model. Results The literature search identified a total of 5,955 studies, of which 14 studies were included for the qualitative analysis and 2 studies for the quantitative analysis. A positive correlation was observed between the GVs of CBCT and HUs of CT. Out of the 14 studies, 100% had low risks of bias for the domains of patient selection, index test, and reference standards, while 95% of studies had a low risk of bias for the domain of flow and timing. The fixed-effects meta-analysis performed for Pearson correlation coefficients between CBCT and CT showed a moderate positive correlation (r=0.669; 95% CI, 0.388 to 0.836; P <0.05). Conclusion The available evidence showed a positive correlation between the GVs of CBCT and HUs of CT.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Correlation between gray values of cone-beam computed tomograms and Hounsfield units of computed tomograms: A systematic review and meta-analysis

et al. 2022

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“…CT has been reported to provide better hard tissue magnification and is ideal for hard tissue segmentation using appropriate Hounsfield unit (HU) range. However, it has been reported that there is a strong correlation between gray scales of CBCT and HU of CT scan [ 37 ] and most works on orthognatic surgery planning have been carried out using clinically available CBCT [ 17 , 18 ]. Furthermore, several study compared linear measurements in vitro [ 38 , 39 ] and ex vivo [ 40 ] finding CBCT and standard multi-slice CT equally accurate in replicating anatomical dimensions.…”

Section: Discussionmentioning

confidence: 99%

Parametrizing the genioplasty: a biomechanical virtual study on soft tissue behavior

Ruggiero¹,

Badiali²,

Bevini³

et al. 2021

Int J CARS

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Purpose Sliding genioplasty is used to surgically correct a retruded or misaligned chin: in this procedure, an osteotomy is performed and the bony segment is repositioned. In this study we investigate the effect of surgical parameters (bony segment movement, osteotomy design) on postop soft tissue changes in a patient cohort. Methods Seven patients were retrospectively recruited. Cone beam computed tomography data were obtained and soft tissue and bone shape reconstructions were performed. 3D models were created and surgical cuts were replicated according to postop scans. Each model was imported in ANSYS 2019R1 (Ansys Inc, USA) for simulation: the effect of variation in osteotomy plane as well as extent of bony segment movement were assessed by means of design of experiment: surgical parameters were varied in a surgically acceptable range and the soft tissue predictions were evaluated as displacement output of five craniometric landmarks. Results Simulation results show the overall changes of the lower third of the face are sensitive to changes in horizontal and vertical displacement of the bony segment as well as segment rotation. No significant changes in the soft tissue response were to attribute to the osteotomy design. Conclusions Our results are consistent with experimental findings reported in the literature: when planning genioplasty in orthognathic surgery, particular focus on the segment movement (horizontal translation, vertical translation and rotation), rather than on the design of the osteotomy itself, should be considered.

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Cone‐beam computed tomography analysis of lingual mandibular bone depression in the premolar region: A case report

Asgary

Emadi

2020

Clinical Case Reports

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Relationship between Hounsfield Unit in CT Scan and Gray Scale in CBCT

Cited by 55 publications

References 9 publications

Correlation between gray values of cone-beam computed tomograms and Hounsfield units of computed tomograms: A systematic review and meta-analysis

Correlation between gray values of cone-beam computed tomograms and Hounsfield units of computed tomograms: A systematic review and meta-analysis

Parametrizing the genioplasty: a biomechanical virtual study on soft tissue behavior

Cone‐beam computed tomography analysis of lingual mandibular bone depression in the premolar region: A case report

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