Radiation dose evaluation of dental cone beam computed tomography using an anthropomorphic adult head phantom

Wu, Jen-Ming; Shih, Chuen-Ming; Ho, Chang hung; Liu, Yan Lin; Chang, You-Soon; Chao, Max Min

doi:10.1016/j.radphyschem.2013.11.024

Cited by 7 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Cone beam computed tomography (CBCT) has been described as the most efficient tool in the detection of bone changes [1,2]. CBCT imaging provides volumetric, surface, and sectional information of the temporomandibular joint (TMJ) in the three main planes (coronal, axial, and sagittal) [1][2][3] and allows the visualization of the morphology of joint components, integrity of the cortical bone, and subcortical destruction or bone synthesis [4]. Additionally, CBCT provides lower doses of radiation compared to fan beam CT [1,5].…”

Section: Introductionmentioning

confidence: 99%

Dosimetric evaluation for temporomandibular joint cone beam computed tomography exams using different field of view

Pinto

Caetano

Andrade

et al. 2021

Biomed. Phys. Eng. Express

View full text Add to dashboard Cite

Objectives. To optimize the absorbed organ dose in relation to the field of view for temporomandibular joint examinations in four cone beam computed tomography devices. Methods. An anthropomorphic adult head and neck phantom, and 192 LiF dosimeters (TLD-100) were used. The dosimeters were placed in the region corresponding to the lens, parotid glands, submandibular glands, and thyroid. Small, medium and large FOVs were selected on Orthopantomograph OP300 Maxio, PaX-i3D Smart, ORTHOPHOS XG, and i-CAT Next Generation device when it was possible. Results. A wide range of absorbed dose values was recorded for all organs due to the different exposure parameters of each device. The radiosensitive organ with the highest dose was the parotid glands. The devices with 5×5 cm FOV recorded a lower dose in this protocol, while for the device without a small FOV (5×5 cm), the lowest dose was observed with the large FOV (6×16 cm). Conclusions. We recommend a double exposure with an FOV of 5×5 cm in the OP300 Maxio, PaX-i3D Smart, and ORTHOPHOS XG device, while in the i-CAT Next Generation device, a single exposure FOV of 6×16 cm is indicated.

show abstract

Section: Introductionmentioning

confidence: 99%

Dosimetric evaluation for temporomandibular joint cone beam computed tomography exams using different field of view

Pinto

Caetano

Andrade

et al. 2021

Biomed. Phys. Eng. Express

View full text Add to dashboard Cite

show abstract

“…Consequently, the existing dosimetric phantoms do not have the characteristics necessary to allow dosimetric measurements for cone beam CT scanners (Batista et al, 2013). For this reason, the estimates/assessments of the exposure levels in Cone Beam CT are based on thermoluminescent dosimetry (TLD) (Ludlow et al, 2006;Pauwels et al, 2014;Wu et al, 2014) and P KA . Another option, with the main objective of reducing the costs associated with detectors of large dimensions, is available on some models.…”

Section: Introductionmentioning

confidence: 99%

Assessment of protocols in cone-beam CT with symmetric and asymmetric beams usingeffective dose and air kerma-area product

Batista

Soares

Oliveira

et al. 2015

Applied Radiation and Isotopes

View full text Add to dashboard Cite

“…Dental cone-beam computed tomography (CBCT) can rapidly provide high-resolution cross-sectional images for clinical diagnoses, and dental CBCT images with a large field of view (FOV) are used to diagnose lesions around the oral and sinus cavity. Because of these applications, dental CBCT has become a vital diagnostic tool in clinical practice [1]. Also, cone-beam computed tomography (CBCT) is now becoming a powerful tool for image-guided radiation therapy, because of the large volume CT images [2].…”

Section: Introductionmentioning

confidence: 99%

Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

Kang

Lee

Woo

et al. 2014

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

View full text Add to dashboard Cite

This paper presents K-edge filtering and energy weighting methods which enhance the contrast with less radiation does. Usually, energy weighting methods are used with photon-counting detector based CT for each energy bin data obtained to enhance the quality of image. However, we used these methods combine with K-edge filtering in energy-integrating detector. Using K-edge filtering, different energy bin data for energy weighting methods were obtained, and then energy weighting factors were calculated to enhance the contrast of image. We report an evaluation of the contrast-to-noise ratio (CNR) of reconstructed image with and without these two methods. This evaluation was proceeded with two phantoms; one is the phantom created personally, and the other is Sendentexct IQ dental CBCT (SENDENTEXCT, EU). As for the phantom created personally, the CNR of images reconstructed with these methods were increased than CNR of standard images. It was seen that 31% to 81% in each energy weighting method for optimizing each material (cortical bone, inner bone, soft tissue, iodine (18.5 g/l), iodine (37 g/l)). In conclusion, we can enhance the contrast of CT images with less radiation dose using K-edge filtering and energy weighting method.

show abstract

Radiation dose evaluation of dental cone beam computed tomography using an anthropomorphic adult head phantom

Cited by 7 publications

References 29 publications

Dosimetric evaluation for temporomandibular joint cone beam computed tomography exams using different field of view

Dosimetric evaluation for temporomandibular joint cone beam computed tomography exams using different field of view

Assessment of protocols in cone-beam CT with symmetric and asymmetric beams usingeffective dose and air kerma-area product

Radiation dose reduction in CBCT imaging using K-edge filtering and energy weighting

Contact Info

Product

Resources

About