A review on the application of deep learning for CT reconstruction, bone segmentation and surgical planning in oral and maxillofacial surgery
J Minnema, A Ernst, M van Eijnatten… - Dentomaxillofacial …, 2022 - academic.oup.com
Computer-assisted surgery (CAS) allows clinicians to personalize treatments and surgical
interventions and has therefore become an increasingly popular treatment modality in …
interventions and has therefore become an increasingly popular treatment modality in …
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 …
Accuracies of the synthesized monochromatic CT numbers and effective atomic numbers obtained with a rapid kVp switching dual energy CT scanner
MM Goodsitt, EG Christodoulou, SC Larson - Medical physics, 2011 - Wiley Online Library
Purpose: This study was performed to investigate the accuracies of the synthesized
monochromatic images and effective atomic number maps obtained with the new GE …
monochromatic images and effective atomic number maps obtained with the new GE …
A personalized deep learning denoising strategy for low-count PET images
Objective. Deep learning denoising networks are typically trained with images that are
representative of the testing data. Due to the large variability of the noise levels in positron …
representative of the testing data. Due to the large variability of the noise levels in positron …
Ultralow‐parameter denoising: trainable bilateral filter layers in computed tomography
Background Computed tomography (CT) is widely used as an imaging tool to visualize three‐
dimensional structures with expressive bone‐soft tissue contrast. However, CT resolution …
dimensional structures with expressive bone‐soft tissue contrast. However, CT resolution …
Anatomically aided PET image reconstruction using deep neural networks
Purpose The developments of PET/CT and PET/MR scanners provide opportunities for
improving PET image quality by using anatomical information. In this paper, we propose a …
improving PET image quality by using anatomical information. In this paper, we propose a …
Development and characterization of modular readout design for two-panel head-and-neck dedicated PET system based on CZT detectors
Y Wang, R Herbst… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Cadmium zinc telluride (CZT) detectors are suitable for various applications due to the good
energy resolution and the simple pixilation to achieve high spatial resolution. Our group is …
energy resolution and the simple pixilation to achieve high spatial resolution. Our group is …
[HTML][HTML] A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance
Purpose During spinal fusion surgery, screws are placed close to critical nerves suggesting
the need for highly accurate screw placement. Verifying screw placement on high-quality …
the need for highly accurate screw placement. Verifying screw placement on high-quality …
[HTML][HTML] Toward on-the-fly trajectory optimization for C-arm CBCT under strong kinematic constraints
Cone beam computed tomography (CBCT) has become a vital tool in interventional
radiology. Usually, a circular source-detector trajectory is used to acquire a three …
radiology. Usually, a circular source-detector trajectory is used to acquire a three …
iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry
Objective: This study aims to develop and validate a novel framework, iPhantom, for
automated creation of patient-specific phantoms or “digital-twins (DT)” using patient medical …
automated creation of patient-specific phantoms or “digital-twins (DT)” using patient medical …