The CT CIC at SPIE 2025
The abstract deadline for SPIE Medical Imaging 2026 is only a day away, which is as good as excuse as any to look back at CIC generated proceedings papers from SPIE Medical Imaging 2025. Let's travel back six months to a happy February week in San Diego.
- Shaojie Chang: Contrast-guided Virtual Monoenergetic Image Synthesis via Adversarial Learning for Coronary CT Angiography using Photon Counting Detector CT (coauthors: Madeleine Wilson, Emily K Koons, Hao Gong, Scott S Hsieh, Lifeng Yu, Cynthia H McCollough, Shuai Leng)
- Hao Gong: Improving low-contrast liver metastasis detectability in deep-learning CT denoising using adaptive local fusion driven by total uncertainty and predictive mean (coauthors: Shravani A Kharat, Shuai Leng, Lifeng Yu, Scott S Hsieh, Joel G Fletcher, Cynthia H McCollough) and Simulating scanner-and algorithm-specific 3D CT noise texture using physics-informed 2D and 2.5D generative neural network models (coauthors: Thomas M Huber, Timothy Winfree, Scott S Hsieh, Lifeng Yu, Shuai Leng, Cynthia H McCollough)
- Scott Hsieh: Design of a "3.5th generation" photon counting detector CT architecture for higher spatial resolution and decreased ring artifact and The potential of scintillator-based photon counting detectors: evaluation using Monte Carlo simulations (coauthors: Katsuyuki Taguchi, Marlies C Goorden, Dennis R Schaart)
- Kishore Rajendran: Assessment of spatial resolution variability in clinical photon-counting detector CT (coauthors: Jamison Thorne, Francis Baffour, Cynthia McCollough, Andrea Ferrero)
- Kevin Treb: The Impact of Noise Texture on a Deep Learning Denoising Model for High-Resolution Cardiac EID-CT (coauthors: Shaojie Chang, Jeffrey F. Marsh, Cynthia H. McCollough, Shuai Leng)
- Madeleine Wilson: Task-specific deep learning-based denoising for UHR cardiac PCD-CT adaptive to imaging conditions and patient characteristics: Impact on image quality and clinical diagnosis and quantitative assessment (coauthors: Shaojie Chang, Emily K. Koons, Cynthia H. McCollough, Shuai Leng)
- Zhongxing Zhou: Patient-specific Channelized Hotelling observer to estimate lesion detectability in CT (coauthors: Jarod Wellinghoff, Cynthia H. McCollough, Lifeng Yu)