This study was conducted to assess the clinical usability of zero-echo time (ZTE) technique MRI for evaluating bone changes temporomandibular joint (TMJ) in comparison with CBCT.Twenty patients TMJ disorder who underwent both CBCT and were randomly selected. images obtained an Alphard 3030 device (Asahi Roentgen Ind., Co. Ltd, Kyoto, Japan). MRIs using a 3.0 T scanner (Pioneer; GE Healthcare, Waukesha, WI, USA) 21-channel head coil. An isotropic three-dimensional proton-density-weighted ZTE...

This study aimed to develop a high-performance deep learning algorithm differentiate Stafne's bone cavity (SBC) from cysts and tumors of the jaw based on images acquired various panoramic radiographic systems. Data sets included 176 cavities 282 odontogenic mandible (98 dentigerous cysts, 91 keratocysts, 93 ameloblastomas) that required surgical removal. Panoramic radiographs were obtained using three different imaging The trained model showed 99.25% accuracy, 98.08% sensitivity, 100%...

Abstract This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle head using cone-beam computed tomography (CBCT) and an automated method measuring thickness with color display based on results. In total, 12,800 CBCT images from 25 normal subjects, manually labeled by oral radiologist, served as gold-standard. The combined modified U-Net convolutional neural network target region classification. Model performance was evaluated intersection over union...

Abstract Objective This study aimed to assess the feasibility of quantitative magnetic resonance imaging (MRI) employing multi-dynamic multi-echo (MDME) technique as a diagnostic modality for evaluating glandular dysfunction in patients with hyposalivation. Methods The MDME generated T1, T2, and proton density (PD) maps parotid gland, allowing simultaneous acquisition values from respective mappings. Mann–Whitney U-test was used compare hyposalivation control groups, receiver operating...

Objective: We aimed to develop and assess the clinical usefulness of a generative adversarial network (GAN) model for improving image quality in panoramic radiography. Methods: Panoramic radiographs obtained at Yonsei University Dental Hospital were randomly selected study inclusion (n = 100). Datasets with degraded 400) prepared using four different processing methods: blur, noise, blur anterior teeth region. The images distributed training test datasets ratio 9:1 each group. Pix2Pix GAN...

The aim of this study was to investigate the available alveolar bone height between maxillary molars and sinus floor according their anatomical relationship using cone-beam computed tomographic (CBCT) images.A total 752 first (M1) second (M2) on CBCT scans 188 patients were selected. First, each molar categorized as type 1, 2, 3, or 4 root with floor. frequency distribution analyzed. Second, shortest vertical distance (VD) measured from furcation midpoints roots lowest point by 2 observers....

Abstract The metal artifact reduction (MAR) algorithm is used in most CBCT unit to reduce from various dental materials. performance of MAR program a according the material type under different imaging mode was evaluated as introducing automatic quantification amount reduced. Four customized phantoms with prostheses (amalgam, gold, porcelain-fused-metal, zirconia) underwent scanning and without option. performed varied conditions; 0.2 0.3 mm 3 voxel sizes; 70 100 kVp. artifacts reduced by...

Abstract Cone-beam computed tomography (CBCT) produces high-resolution of hard tissue even in small voxel size, but the process is associated with radiation exposure and poor soft imaging. Thus, we synthesized a CBCT image from magnetic resonance imaging (MRI), using deep learning to assess its clinical accuracy. We collected patients who underwent both MRI simultaneously our institution (Seoul). data were registered data, prepared into 512 slices axial, sagittal, coronal sections. A...

As the population ages, prevalence of various chronic diseases increases. Palliative care for patients at end life with a noncancer diagnosis is currently limited because difficulties demarcating boundaries end-of-life period and determining needs life.This study aimed to investigate levels importance difficulty multidimensional during stages.This retrospective survey. Home healthcarenurse specialists (HHNS) reviewed medical nursing records responded structured questionnaire. The caring...

Abstract Quantifying physiological fat tissue in the organs is important to further assess organ’s pathologic status. This study aimed investigate impact of body mass index (BMI), age, and sex on fraction normal parotid glands. Patients undergoing magnetic resonance imaging (MRI) iterative decomposition water with echo asymmetry least squares estimation (IDEAL-IQ) due non-salivary gland-related disease were reviewed. Clinical information individual patients was categorized into groups based...

This study aimed to compare the therapeutic effects of corticosteroid irrigations and normal saline in early inflammatory state salivary gland.Adult male Wistar rats were divided into experimental (n=6) control (n=3) groups. Inflammation was induced subjects on both sides submandibular gland with ligation. After 14 days, glands de-ligated retroductal irrigation using a performed left only. The controls used normalize for diet aging. Magnetic resonance imaging confirm inflammation...

This study investigated whether metal artifact reduction (MAR) applied computed tomography (CT) scans could be used to generate precise digital models and explored possible correlations between the amount of model accuracy. Thirty maxillofacial CT were randomly selected a MAR algorithm was applied. By subtracting original MAR-applied images, quantified. Digital generated from data. Paired superimposed shape deviation in planar surface measured at 10 points 4 planes. Statistical analyses...

Abstract Background The diagnosis of sialadenitis, the most frequent disease salivary glands, is challenging when symptoms are mild. In such cases, biomarkers can be used as definitive diagnostic indicators. Recently, have been developed by extracting and analyzing pathological morphological features from medical imaging. This study aimed to establish a reference for sialadenitis based on quantitative magnetic resonance imaging (MRI) biomarker IDEAL-IQ assess its accuracy. Methods Patients...

This study aimed to identify robust radiomic features in multiultrasonography of the submandibular gland and normalize interdevice discrepancies by applying a machine-learning-based harmonization method.

Abstract Cone-beam computed tomography (CBCT) produces high resolution of hard tissue even in small voxel size, but the process is associated with radiation exposure and poor soft imaging. Thus, we synthesized a CBCT image from magnetic resonance imaging (MRI), using deep learning to assess its clinical accuracy. We collected patients who underwent both MRI simultaneously our institution. data were registered data, prepared into 512 slices axial, sagittal, coronal sections. A learning-based...

X선이 객체를 투과할 때 산란 방사선이 발생한다. 이를 방지하기 위하여 방지 그리드를 사용하는데, 이때 투영 방사선 영상에 그리드 영상이 중첩되어 나타난다. 이러한 출력되면 무아레 무늬가 나타나 해부학적 정보를 가리게 된다. 그리드에 의한 잡음을 제거하기 현재까지 수행된 연구에서는 1차원 주파수 영역에서 그리드의 주파수를 계산하거나 2차원 웨이블릿 변환 및 푸리에 변환을 사용하여 잡음의 제거하였다. 방법들은 잡음뿐만 아니라 영상에서의 진단 정보도 함께 제거하였다.BR 본 패킷과 방법을 조합하여 CR 영상에서 제거하는 제안하였다. 제안한 팬텀영상에 적용한 결과 신호 대 잡음 비율이 기존 방법에 비하여 5.2 - 7.4 dB 향상 되었으며, 실제 CR영상에 대역을 효과적으로 제거하고 나머지 보호함으로써 영상 정보의 손실을 최소화한 결과를 얻을 수 있었다.