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Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning
Mengzhou Li, Zheng Fang, Wenxiang Cong +6
While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary example. The structural det…
X-ray Photon-Counting Data Correction through Deep Learning
Mengzhou Li, David S. Rundle, Ge Wang
X-ray photon-counting detectors (PCDs) are drawing an increasing attention in recent years due to their low noise and energy discrimination capabilities. The energy/spectral dimens…
X-ray Monochromatic Imaging from Single-spectrum CT via Machine Learning
Wenxiang Cong, Bruno De Man, Ge Wang
In clinical CT system, the x-ray tube emits polychromatic x-rays, and the x-ray detectors operate in the current-integrating mode. This physical process is accurately described by…
Deep learning for accelerating Monte Carlo radiation transport simulation in intensity-modulated radiation therapy
Zhao Peng, Hongming Shan, Tianyu Liu +4
Cancer is a primary cause of morbidity and mortality worldwide. The radiotherapy plays a more and more important role in cancer treatment. In the radiotherapy, the dose distributio…
A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep-Learning based Multi-Organ Segmentation and GPU-accelerated Monte Carlo Dose Computing
Zhao Peng, Xi Fang, Pingkun Yan +7
Purpose: This paper describes a new method to apply deep-learning algorithms for automatic segmentation of radiosensitive organs from 3D tomographic CT images before computing orga…
Deep-learning-based Breast CT for Radiation Dose Reduction
Wenxiang Cong, Hongming Shan, Xiaohua Zhang +3
Cone-beam breast computed tomography (CT) provides true 3D breast images with isotropic resolution and high-contrast information, detecting calcifications as small as a few hundred…