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This study aimed to evaluate the effect of pixel offset adjustments in digital light processing (DLP) three-dimensional (3D) printing on the marginal and internal fit and surface trueness of zirconia crowns. Zirconia crowns were designed using dental computer-aided design software (Dentbird; Imagoworks) and fabricated with a vat photopolymerization DLP 3D printer (TD6+; 3D Controls) under three pixel offset conditions (-1, 0, and 1). Pixel offset refers to the controlled modification of the outermost pixels in the XY plane during printing to compensate for potential dimensional inaccuracies. The marginal and internal fit was assessed using a triple-scan protocol and quantified using root mean square (RMS) values. Surface trueness was evaluated by measuring RMS, positive and negative errors between the designed and fabricated crowns. Statistical analyses included one-way ANOVA and Pearson correlation analysis (α = 0.05). The Pixel offset had a significant effect on fit accuracy and surface trueness ( < 0.05). Higher pixel offsets increased marginal discrepancies ( = 0.004), with the marginal gap exceeding 120 µm at a pixel offset of 1 (114.5 ± 14.6 µm), while a pixel offset of -1 (85.5 ± 18.6 µm) remained within acceptable limits ( = 0.003). Surface trueness worsened with increasing pixel offset, showing greater positive errors ( < 0.001). Optimizing pixel offset in DLP 3D printing is crucial to ensuring clinically acceptable zirconia crowns. Improper settings may increase marginal discrepancies and surface errors, compromising restoration accuracy.
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http://dx.doi.org/10.3390/jfb16030103 | DOI Listing |
Med Phys
September 2025
Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.
Background: Online adaptive radiation therapy (ART) offers a paradigm shift in radiotherapy by enabling adjustments to the planned dose based on daily anatomical variation. In the context of cone-beam computed tomography (CBCT) for online ART on a standard linac, thoracic and abdominal treatment sites in particular present unique challenges due to the typically large treatment volumes, mobile anatomy, scatter-induced image quality degradation, and hounsfield unit (HU) limitations. A recent hardware and software upgrade for a standard linac, Varian TrueBeam (TB) v4.
View Article and Find Full Text PDFNat Commun
September 2025
State Ley Laboratory of Integrated Optoelectronics, Key Laboratory for UV Light-Emitting Materials and Technology of Ministry of Education, School of Physics, Northeast Normal University, Changchun, China.
Single-pixel imaging is emerging as a promising alternative to traditional focal plane array technologies, offering advantages in compactness and cost-effectiveness. However, the lack of solar-blind photodetectors combining fast-response and high-sensitivity has constrained their application in the deep ultraviolet spectrum. This work introduces a self-powered solar-blind photodetector based on a heterostructure comprising a GaO photosensitive layer, an AlN barrier layer, and an N-polar AlGaN:Si contact layer.
View Article and Find Full Text PDFNeural Netw
August 2025
School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Tianfu Jiangxi Laboratory, Chengdu, Sichuan, China. Electronic address:
Mode collapse is a major unsolved problem in generative adversarial networks. In this study, we base our proposal on the distribution fitting method and explore methods to suppress mode collapse for multivariate data. We incorporate the covariance constraints that enforce similar linear correlations among the variables.
View Article and Find Full Text PDFTomography
July 2025
Department of Biomedical Engineering, University of Houston, 4800 Calhoun Rd, Houston, TX 77004, USA.
There is significant interest in using texture features to extract hidden image-based information. In medical imaging applications using radiomics, AI, or personalized medicine, the quest is to extract patient or disease specific information while being insensitive to other system or processing variables. While we use digital breast tomosynthesis (DBT) to show these effects, our results would be generally applicable to a wider range of other imaging modalities and applications.
View Article and Find Full Text PDFComput Biol Med
September 2025
Department of Physics and Astronomy, College of Charleston, Charleston, SC 29424, USA.
Background And Objective: Perceptual studies have shown that textures that are indistinguishable based on their second-order statistics are perceived as equivalent by the human visual system. These statistics, which capture spatial correlations in pixel intensities, are more closely related to image gradients than to absolute pixel values. This study aims to derive analytic scaling laws for Haralick texture features to enable quantization-invariant, reproducible texture classification across heterogeneous imaging conditions.
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