Systematic review on learning-based spectral CT
Spectral computed tomography (CT) has recently emerged as an advanced version of
medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two …
medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two …
Material decomposition from photon-counting CT using a convolutional neural network and energy-integrating CT training labels
Objective. Photon-counting CT (PCCT) has better dose efficiency and spectral resolution
than energy-integrating CT, which is advantageous for material decomposition …
than energy-integrating CT, which is advantageous for material decomposition …
Clinical micro-CT empowered by interior tomography, robotic scanning, and deep learning
While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging
has long been desired with cochlear implantation as a primary application. The structural …
has long been desired with cochlear implantation as a primary application. The structural …
Motion correction for robot-based x-ray photon-counting CT at ultrahigh resolution
Ultrahigh-resolution CT is highly desirable in many clinical applications, such as cochlear
implantation and coronary stenosis assessment. Despite the wide accessibility to micro-CT …
implantation and coronary stenosis assessment. Despite the wide accessibility to micro-CT …
High-resolution hybrid micro-CT imaging pipeline for mouse brain region segmentation and volumetric morphometry
R Nadkarni, ZY Han, RJ Anderson, AJ Allphin… - Plos one, 2024 - journals.plos.org
Background Brain region segmentation and morphometry in humanized apolipoprotein E
(APOE) mouse models with a human NOS2 background (HN) contribute to Alzheimer's …
(APOE) mouse models with a human NOS2 background (HN) contribute to Alzheimer's …
Motion correction via locally linear embedding for helical photon-counting CT
X-ray photon-counting detector (PCD) offers low noise, high resolution, and spectral
characterization, representing a next generation of CT and enabling new biomedical …
characterization, representing a next generation of CT and enabling new biomedical …
Photon-counting computed tomography thermometry via material decomposition and machine learning
Thermal ablation procedures, such as high intensity focused ultrasound and radiofrequency
ablation, are often used to eliminate tumors by minimally invasively heating a focal region …
ablation, are often used to eliminate tumors by minimally invasively heating a focal region …
Exploring charge sharing compensation using inter-pixel coincidence counters for photon counting detectors by deep-learning from local information
Objective. Photon counting detectors (PCDs) have well-acknowledged advantages in
computed tomography (CT) imaging, such as decreasing noise, relieving beam hardening …
computed tomography (CT) imaging, such as decreasing noise, relieving beam hardening …
Interior photon-counting CT data denoising via multi-agent reinforcement learning
Interior photon-counting computed tomography (PCCT) scans are essential for obtaining
high-resolution images at minimal radiation dose by focusing only on a specific region of …
high-resolution images at minimal radiation dose by focusing only on a specific region of …