SPIE Medical Imaging 2022 Proceedings

In February, members of the CT CIC took part in the SPIE Medical Imaging 2022 conference. Whether in person or virtually, it is always a privilege to present our findings to the world, and this year in San Diego and online was no exception.

2022 was a particularly productive year, with 14 proceedings papers produced in part or fully by CT CIC members. See below for a full list, with links to the manuscripts.

• Quantitative assessment of motion effects in dual-source dual energy CT and dual-source photon-counting detector CT (Lead Author: Zaki Ahmed)
• Quality assurance and printing accuracy analysis of 3D printing in medical applications (Lead Author: Joshua Ray Chen)
• Impact of improved spatial resolution on radiomic features using photon-counting-detector CT (Lead Author: Chelsea A. S. Dunning)
• Efficient evaluation of low-contrast detectability of deep-CNN-based CT denoising using channelized Hotelling observer on the ACR accreditation phantom (Lead Author: Mingdong Fan)
• Improving coronary artery imaging in single source CT with cardiac motion correction using attention and spatial transformer based neural networks (Lead Author: Hao Gong)
• Implementation and initial experience with an interactive eye-tracking system for measuring radiologists' visual search in diagnostic tasks using volumetric CT images (Lead Author: Hao Gong)
• A 25-reader performance study for hepatic metastasis detection: lessons from unsupervised learning (Lead Author: Scott S. Hsieh)
• Design of a digital, motion-free mechanism for fluence field modulation (Lead Author: Scott S. Hsieh)
• Estimating the minimum SNR necessary for object detection in the projection domain (Lead Author: Scott S. Hsieh)
• Pixel-wise bias approximation and correction for convolutional neural network noise reduction in CT (Lead Author: Nathan R. Huber)
• Individualized and generalized learner models for predicting missed hepatic metastases (Lead Author: Parvathy Sudhir Pillai)
• Quantification of coronary calcification using high-resolution photon-counting-detector CT and an image domain denoising algorithm (Lead Author: Patrick D. VanMeter)
• Improved assessment of coronary artery luminal stenosis with heavy calcifications using high-resolution photon-counting detector CT (Lead Author: Emily Koons)
• Residual-based convolutional-neural-network (CNN) for low-dose CT denoising: impact of multi-slice input (Lead Author: Zhongxing Zhou)