Euclid Vision Corporation’s Post

Exploring a Unique Dentigerous Cyst Case in the Maxillary Sinus What makes this case especially fascinating is how 3D diagnostic modeling allowed us to visualize the exact position of the impacted tooth, the surrounding cyst, and the adjacent maxillary sinus. By sectioning the skull in the virtual model, we could study the internal structures in incredible detail — insights that traditional 2D imaging alone might miss. #DentalRadiology #CBCT #DentigerousCyst #ImpactedCanine #MaxillarySinus #3DModeling #DigitalDentistry #OralSurgery #DentalEducation Read full article: https://lnkd.in/geMCcneK

This IEEE 2018 study introduces a CNN-based auto-positioning system that detects and corrects patient dental-arch misalignment during rotational panoramic imaging. Using simulated datasets of 5,166 panoramic reconstructions, the algorithm estimates forward–backward deviations within ±20 mm and reconstructs sharper DPRs with minimized anterior blur. Four CNN models (13–15 layers) achieved mean error < 0.5 mm, showing that AI can automatically reposition the dental arch for clearer diagnostic images and reduce the need for retakes. Watch full video on YT https://lnkd.in/dzC5UDUk #DentalAI #ArtificialIntelligence #MachineLearning #DeepLearning #DentalRadiology #PanoramicRadiography #AutoPositioning #CNN #ComputerVision #ImageReconstruction #DigitalDentistry #MedicalAI

Introduction: HU is a standard numbering system in CT, which is proportional to x-ray attenuation and an indicator of relative tissue density. In CBCT, the x-ray  attenuation degree is demonstrated with the grayscale. The present study aimed to  determine the correlation between the grayscale in CBCT and HU (Hounsfield Unit) in MDCT. Materials and Methods: This descriptive-analytical study was approved under the ethics code of IR.GUMS.REC.1398.451. A human dry mandible was immersed in a transparent cylindrical container to simulate soft tissue attenuation. The sample was scanned at three separate imaging centers using three CBCT units with the same brand. The scans were carried out once with standard irradiation conditions and once with high-resolution conditions. The mandible was scanned with a CT scan unit. The grayscale and HU of the enamel, dentin, cortical, and spongy bone were evaluated and compared with each other. Pearson’s correlation coefficient was used for data analysis at a significance level of 5% (P<0.05). Results: In two standard and high-resolution conditions, there was a significant correlation (P<0.001) between the grayscale and HU. Given the positive values of the mean differences, it could be concluded that the gray level in CBCT has a positive correlation with HU in MDCT. Conclusion: The grayscale in CBCT and HU in MDCT had a positive correlation, and according to this study, it is possible to calculate the HU from the gray level. #X_Rays #Cone_BeamComputed #Tomography

Understanding the difference between gain and dynamic range is essential for optimizing ultrasound image quality. Gain adjusts the overall brightness by amplifying the returning echoes, allowing structures to be more visible. However, excessive gain can obscure subtle details or introduce noise. Dynamic range, on the other hand, determines the spectrum of echo intensities displayed on the image. A higher dynamic range produces a softer, more detailed image with smoother grayscale transitions, while a lower dynamic range increases contrast but may lose subtle tissue differentiation. Mastering both parameters is key to producing diagnostically accurate and visually balanced ultrasound images. #Ultrasound #MedicalImaging #Sonography #UltrasoundEducation #POCUS #ImageOptimization #DBMUltrasound #ClinicalTraining

#dentalimplant surgical planning typically requires the #conebeamCT and surface scans of the jaws to be accurately merged in order to produce a reliable #surgicalguide. The #latestontheJPD presents this article that compares the registration accuracy when using different fiducial markers and imaging techniques for recording the prosthetic and anatomy of an #edentulous jaw: https://lnkd.in/gfpZ2vfR

In Orthok treatment, not only is vision correction important, but myopia control is vital as well. The central blue zone provides reduction of myopic refractive error, allowing for clear glasses free vision The surrounding red circle provides peripheral plus power inducing myopic defocus, which is the mechanism of action for myopia control, prevention further progression In this particular case, we were not only able to correct over 4 diopters of myopia, but also allow for a stable Rx over many years . . . . . #Orthok #Orthokeratology #myopia #myopiacontrol #myopiamanagement #evoeye

The Viral Moment - At AAHKS 2024, VISIE tackled what many said was impossible: live tracking where a camera watches anatomy, predicts its movement through space, and directs a robot to follow it in real-time—no pins, no rigmarole. This spatial computing breakthrough showcases the core of what makes VISIE different: solving complex problems that make surgery simpler. See VISIE at AAHKS 2025: https://linkly.link/2GY6i #SpatialComputing #RoboticSurgery #OrthopedicsThisWeek

MR Defecography:- MR Defecography (MR Defecogram) is a dynamic MRI study used to evaluate pelvic floor anatomy and function during rest, straining, and defecation. It helps assess conditions like rectocele, enterocele, intussusception, anismus, and pelvic organ prolapse. This non-invasive technique provides detailed visualization of pelvic floor muscles, anal canal, and rectal wall movement, making it superior to conventional fluoroscopic defecography for soft-tissue evaluation. “Can you identify the pelvic floor abnormality demonstrated in this MR Defecogram image?” A special thank you to senior radiographer ANKUSH MEHTA for the guidance and support during this case!

🔬 What makes OrthoClay different? Rigid implants struggle with irregular acetabular defects. Every defect is unique, and every reconstruction demands flexibility. OrthoClay’s flexible titanium mesh is designed to adapt where others can’t: ✅ Morphs to irregular surfaces — the mesh can elastically deform to match the defect, minimizing the need for extensive bone reaming. ✅ Covers severe defects — can bridge complex acetabular bone loss, including large #Paprosky type III defects. ✅ Supports bone grafting #BIG — accommodates impacted bone graft beneath and between mesh layers, helping restore bone stock and structural integrity over time. ✅ Enables anatomical reconstruction — designed to recreate acetabular geometry with high conformity to the patient’s anatomy. ✅ Simplifies workflow — a small set of mesh geometries can fit a wide range of defects, reducing the need for fully custom implants. OrthoClay combines adaptability, stability, and practicality — helping surgeons tackle even the most complex acetabular reconstructions with more confidence. ➡️ Follow OrthoClay to see how we’re bringing this technology from lab to OR. #OrthoClay #MedTech #HipRevision #AcetabularReconstruction #3DPrinting #SurgicalInnovation

Complex acetabular defects rarely fit standard implants. With OrthoClay, we’re exploring how a flexible mesh can adapt to the defect instead, NOT the other way around 👇