Dynamic whole-body PET imaging: principles, potentials and applications
Purpose In this article, we discuss dynamic whole-body (DWB) positron emission
tomography (PET) as an imaging tool with significant clinical potential, in relation to …
tomography (PET) as an imaging tool with significant clinical potential, in relation to …
PET parametric imaging: past, present, and future
Positron emission tomography (PET) is actively used in a diverse range of applications in
oncology, cardiology, and neurology. The use of PET in the clinical setting focuses on static …
oncology, cardiology, and neurology. The use of PET in the clinical setting focuses on static …
PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques
Historically, anatomical CT and MR images were used to delineate the gross tumour
volumes (GTVs) for radiotherapy treatment planning. The capabilities offered by modern …
volumes (GTVs) for radiotherapy treatment planning. The capabilities offered by modern …
PET image reconstruction using kernel method
Image reconstruction from low-count positron emission tomography (PET) projection data is
challenging because the inverse problem is ill-posed. Prior information can be used to …
challenging because the inverse problem is ill-posed. Prior information can be used to …
Low-rank modeling and its applications in image analysis
Low-rank modeling generally refers to a class of methods that solves problems by
representing variables of interest as low-rank matrices. It has achieved great success in …
representing variables of interest as low-rank matrices. It has achieved great success in …
A deep neural network for parametric image reconstruction on a large axial field-of-view PET
Purpose The PET scanners with long axial field of view (AFOV) having~ 20 times higher
sensitivity than conventional scanners provide new opportunities for enhanced parametric …
sensitivity than conventional scanners provide new opportunities for enhanced parametric …
A novel fuzzy C‐means algorithm for unsupervised heterogeneous tumor quantification in PET
S Belhassen, H Zaidi - Medical physics, 2010 - Wiley Online Library
Purpose: Accurate and robust image segmentation was identified as one of the most
challenging issues facing PET quantification in oncological imaging. This difficulty is …
challenging issues facing PET quantification in oncological imaging. This difficulty is …
Dynamic PET image reconstruction using nonnegative matrix factorization incorporated with deep image prior
T Yokota, K Kawai, M Sakata… - Proceedings of the …, 2019 - openaccess.thecvf.com
We propose a method that reconstructs dynamic positron emission tomography (PET)
images from given sinograms by using non-negative matrix factorization (NMF) incorporated …
images from given sinograms by using non-negative matrix factorization (NMF) incorporated …
[HTML][HTML] Direct estimation of kinetic parametric images for dynamic PET
Dynamic positron emission tomography (PET) can monitor spatiotemporal distribution of
radiotracer in vivo. The spatiotemporal information can be used to estimate parametric …
radiotracer in vivo. The spatiotemporal information can be used to estimate parametric …
Dynamic PET image denoising using deep image prior combined with regularization by denoising
H Sun, L Peng, H Zhang, Y He, S Cao, L Lu - IEEE Access, 2021 - ieeexplore.ieee.org
The quantitative accuracy of positron emission tomography (PET) is affected by several
factors, including the intrinsic resolution of the imaging system and inherently noisy data …
factors, including the intrinsic resolution of the imaging system and inherently noisy data …