-
Previous Posts
Archives
- October 2024 (1)
- September 2024 (1)
- August 2024 (1)
- July 2024 (1)
- May 2024 (1)
- April 2024 (1)
- February 2024 (2)
- January 2024 (1)
- December 2023 (1)
- October 2023 (1)
- September 2023 (1)
- July 2023 (1)
- June 2023 (1)
- May 2023 (2)
- April 2023 (2)
- March 2023 (2)
- November 2022 (1)
- October 2022 (2)
- July 2022 (2)
- June 2022 (2)
- May 2022 (1)
- April 2022 (1)
- March 2022 (1)
- January 2022 (1)
- November 2021 (1)
- October 2021 (1)
- August 2021 (1)
- July 2021 (1)
- June 2021 (1)
- May 2021 (1)
- February 2021 (1)
- November 2020 (1)
- October 2020 (1)
- August 2020 (5)
Monthly Archives: August 2020
Optimizing Diffusion Imaging Protocols for Structural Connectomics in Mouse Models of Neurological Conditions
Network approaches provide sensitive biomarkers for neurological conditions, such as Alzheimer’s disease (AD). Mouse models can help advance our understanding of underlying pathologies, by dissecting vulnerable circuits. In this work, we have examined the balance between spatial and angular resolutions … Continue reading
Dual source hybrid spectral micro-CT using an energy-integrating and a photon-counting detector
Preclinical micro-CT provides a hotbed in which to develop new imaging technologies, including spectral CT using photon counting detector (PCD) technology. Spectral imaging using PCDs promises to expand x-ray CT as a functional imaging modality, capable of molecular imaging, while maintaining … Continue reading
Posted in Uncategorized
Leave a comment
Deep learning based spectral extrapolation for dual‐source, dual‐energy x‐ray computed tomography
Data completion is needed in dual‐source, dual‐energy computed tomography (CT) when physical or hardware constraints limit the field of view (FoV) covered by one of two imaging chains. Here we published a new Deep Learning approach for Spectral Extrapolation!
Posted in Uncategorized
Leave a comment
MRI-Based Deep Learning Segmentation and Radiomics of Sarcoma
We have created an image processing pipeline for high-throughput, reduced-bias segmentation of multiparametric tumor MRI data and radiomics analysis, to better our understanding of preclinical imaging and the insights it provides when studying new cancer therapies. Link to our new … Continue reading
Posted in Uncategorized
Leave a comment
Welcome to Duke QIAL!
Our mission is to develop, optimize and apply novel CT and MRI quantitative imaging at both preclinical and clinical levels !
Posted in Uncategorized
Leave a comment
