Improved low-count quantitative PET reconstruction with an iterative neural network
Image reconstruction in low-count PET is particularly challenging because gammas from
natural radioactivity in Lu-based crystals cause high random fractions that lower the …
natural radioactivity in Lu-based crystals cause high random fractions that lower the …
Do CNNs solve the CT inverse problem?
Objective: This work examines the claim made in the literature that the inverse problem
associated with image reconstruction in sparse-view computed tomography (CT) can be …
associated with image reconstruction in sparse-view computed tomography (CT) can be …
Implementation and validation of time-of-flight PET image reconstruction module for listmode and sinogram projection data in the STIR library
N Efthimiou, E Emond, P Wadhwa… - Physics in Medicine …, 2019 - iopscience.iop.org
In this paper, we describe the implementation of support for time-of-flight (TOF) positron
emission tomography (PET) for both listmode and sinogram data in the open source …
emission tomography (PET) for both listmode and sinogram data in the open source …
Learning with Synthesized Data for Generalizable Lesion Detection in Real Pet Images
Deep neural networks have recently achieved impressive performance of automated
tumor/lesion quantification with positron emission tomography (PET) imaging. However …
tumor/lesion quantification with positron emission tomography (PET) imaging. However …
Learning without Real Data Annotations to Detect Hepatic Lesions in Pet Images
X Yang, BB Chin, M Silosky, J Wehrend… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Objective: Deep neural networks have been recently applied to lesion identification in
fluorodeoxyglucose (FDG) positron emission tomography (PET) images, but they typically …
fluorodeoxyglucose (FDG) positron emission tomography (PET) images, but they typically …
[HTML][HTML] Clinical application of 18F-DOPA PET/TC in pediatric patients
G Masselli, E Casciani, C De Angelis… - American Journal of …, 2021 - ncbi.nlm.nih.gov
Abstract The use 18 F-DOPA PET/CT for oncologic and non-oncologic pediatric diseases is
well consolidated in clinical practice. The indications include brain tumors, neuroendocrine …
well consolidated in clinical practice. The indications include brain tumors, neuroendocrine …
Application of trained Deep BCD-Net to iterative low-count PET image reconstruction
Image reconstruction in low-count PET is challenging because gammas from natural
radioactivity in Lu-based crystals cause high random fractions that lower the measurement …
radioactivity in Lu-based crystals cause high random fractions that lower the measurement …
Improving Generalizability of PET DL Algorithms: List-Mode Reconstructions Improve DOTATATE PET Hepatic Lesion Detection Performance
X Yang, M Silosky, J Wehrend, DV Litwiller… - Bioengineering, 2024 - mdpi.com
Deep learning (DL) algorithms used for DOTATATE PET lesion detection typically require
large, well-annotated training datasets. These are difficult to obtain due to low incidence of …
large, well-annotated training datasets. These are difficult to obtain due to low incidence of …
Simultaneous activity and attenuation estimation in TOF-PET with TV-constrained nonconvex optimization
An alternating direction method of multipliers (ADMM) framework is developed for
nonsmooth biconvex optimization for inverse problems in imaging. In particular, the …
nonsmooth biconvex optimization for inverse problems in imaging. In particular, the …
Preliminary investigation of optimization-based image reconstruction for TOF PET with sparse configurations
In this work, we investigate and characterize optimization-based image reconstruction from
list-mode TOFPET data collected by using a digital TOF-PET scanner with reduced …
list-mode TOFPET data collected by using a digital TOF-PET scanner with reduced …