Analysis of the priority of anatomic structures according to the diagnostic task in cone-beam computed tomographic images

Choi, Jin Woo

doi:10.5624/isd.2016.46.4.245

Cited by 6 publications

(3 citation statements)

References 15 publications

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“…Diverse results have been reported, depending on the criteria used to evaluate image quality, devices, exposure parameters, and the amount of dose reduction. Most studies have found that a considerable dose reduction using exposure parameters below manufacturers' default settings is possible with the image quality remaining adequate 2425262728293031. The results of this study support those results, as changes in the tube current showed a significant effect on image quality.…”

Section: Discussionsupporting

confidence: 81%

Optimization of exposure parameters and relationship between subjective and technical image quality in cone-beam computed tomography

et al. 2019

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Purpose This study was performed to investigate the effect of exposure parameters on image quality obtained using a cone-beam computed tomography (CBCT) scanner and the relationship between physical factors and clinical image quality depending on the diagnostic task. Materials and Methods CBCT images of a SedentexCT IQ phantom and a real skull phantom were obtained under different combinations of tube voltage and tube current (Alphard 3030 CBCT scanner, 78–90 kVp and 2–8 mA). The images obtained using a SedentexCT IQ phantom were analyzed technically, and the physical factors of image noise, contrast resolution, spatial resolution, and metal artifacts were measured. The images obtained using a real skull phantom were evaluated for each diagnostic task by 6 oral and maxillofacial radiologists, and each setting was classified as acceptable or unacceptable based on those evaluations. A statistical analysis of the relationships of exposure parameters and physical factors with observer scores was conducted. Results For periapical diagnosis and implant planning, the tube current of the acceptable images was significantly higher than that of the unacceptable images. Image noise, the contrast-to-noise ratio (CNR), the line pair chart on the Z axis, and modulation transfer function (MTF) values showed statistically significant differences between the acceptable and unacceptable image groups. The cut-off values obtained using receiver operating characteristic curves for CNR and MTF 10 were useful for determining acceptability. Conclusion Tube current had a major influence on clinical image quality. CNR and MTF 10 were useful physical factors that showed significantly associations with clinical image quality.

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Section: Discussionsupporting

confidence: 81%

Optimization of exposure parameters and relationship between subjective and technical image quality in cone-beam computed tomography

et al. 2019

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“…We used two phantoms of human skulls encased in acrylic articulated for medical use (Erler Zimmer Co., Lauf, Germany), one with and the other without metal restorations causing streak artifacts. The phantoms have been used in our previous studies 45 – 48 . The images of the phantoms were obtained with a MDCT (Somatom Sensation 10, Siemens AG, Erlangen, Germany) and a CBCT (CS 9300, Carestream Health, Inc., Rochester, US), respectively.…”

Section: Methodsmentioning

confidence: 99%

QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study

Yong

Yang

Lee

et al. 2021

Sci Rep

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The purpose of this study was to directly and quantitatively measure BMD from Cone-beam CT (CBCT) images by enhancing the linearity and uniformity of the bone intensities based on a hybrid deep-learning model (QCBCT-NET) of combining the generative adversarial network (Cycle-GAN) and U-Net, and to compare the bone images enhanced by the QCBCT-NET with those by Cycle-GAN and U-Net. We used two phantoms of human skulls encased in acrylic, one for the training and validation datasets, and the other for the test dataset. We proposed the QCBCT-NET consisting of Cycle-GAN with residual blocks and a multi-channel U-Net using paired training data of quantitative CT (QCT) and CBCT images. The BMD images produced by QCBCT-NET significantly outperformed the images produced by the Cycle-GAN or the U-Net in mean absolute difference (MAD), peak signal to noise ratio (PSNR), normalized cross-correlation (NCC), structural similarity (SSIM), and linearity when compared to the original QCT image. The QCBCT-NET improved the contrast of the bone images by reflecting the original BMD distribution of the QCT image locally using the Cycle-GAN, and also spatial uniformity of the bone images by globally suppressing image artifacts and noise using the two-channel U-Net. The QCBCT-NET substantially enhanced the linearity, uniformity, and contrast as well as the anatomical and quantitative accuracy of the bone images, and demonstrated more accuracy than the Cycle-GAN and the U-Net for quantitatively measuring BMD in CBCT.

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“…Although the gold standard for image quality is a subjective evaluation of whether it is appropriate for clinical purposes, quantitative measurements of physical factors are useful for optimization, quality control, and performance evaluation 2311. MTF values are a useful quantitative factor for evaluating spatial resolution.…”

Section: Discussionmentioning

confidence: 99%

Factors affecting modulation transfer function measurements in cone-beam computed tomographic images

Choi

2019

Imaging Sci Dent

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Purpose This study was designed to investigate the effects of voxel size, the oversampling technique, and the direction and area of measurement on modulation transfer function (MTF) values to identify the optimal method of MTF measurement. Materials and Methods Images of the wire inserts of the SedentexCT IQ phantom were acquired, and MTF values were calculated under different conditions (voxel size of 0.1, 0.2, and 0.3 mm; 5 oversampling techniques; simulated pixel location errors; and different directions and areas of measurement). The differences in the MTF values across various conditions were evaluated. Results The MTF 10 values showed smaller standard deviations than the MTF 50 values. Stable and accurate MTF values were obtained in the 0.1-mm voxel images. In the 0.3-mm voxel images, oversampling techniques of 11 lines or more did not show significant differences in MTF values depending on the presence of simulated location errors. MTF 10 values showed significant differences according to the direction and area of the measurement. Conclusion To measure more accurate and stable MTF values, it is better to measure MTF 10 values in small-voxel images. In large-voxel images, the proper oversampling technique is required. MTF values from the radial and tangential directions may be different, and MTF values vary depending on the measured area.

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Analysis of the priority of anatomic structures according to the diagnostic task in cone-beam computed tomographic images

Cited by 6 publications

References 15 publications

Optimization of exposure parameters and relationship between subjective and technical image quality in cone-beam computed tomography

Optimization of exposure parameters and relationship between subjective and technical image quality in cone-beam computed tomography

QCBCT-NET for direct measurement of bone mineral density from quantitative cone-beam CT: a human skull phantom study

Factors affecting modulation transfer function measurements in cone-beam computed tomographic images

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