cone beam computed tomography
PulseAugur coverage of cone beam computed tomography — every cluster mentioning cone beam computed tomography across labs, papers, and developer communities, ranked by signal.
1 天有情绪数据
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新的扩散模型以物理一致性增强CT图像合成
研究人员开发了EPC-3D-Diff，这是一种新的条件3D潜在扩散模型，旨在改进从CBCT数据合成CT图像。该模型包含一个物理推导的等变损失，确保合成的3D体积与其对应的2D投影之间的一致性。通过在压缩的潜在空间中进行扩散，EPC-3D-Diff实现了高效稳定的训练，从而在PSNR和SSIM等图像质量指标上取得显著改进，并提高了放射治疗应用的HU精度。
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New ATMask method improves AI learning for 3D dental imaging analysis
Researchers have developed a new self-supervised learning technique called ATMask for analyzing 3D dental scans from Cone Beam Computed Tomography (CBCT). This method improves upon standard masking by prioritizing diagn…
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Researchers propose computational method for TMJ configuration analysis using splints
Researchers have developed a new computational method to quantitatively analyze temporomandibular joint (TMJ) configurations using occlusal positioning splints. This approach models splints as rigid transformations of t…