Deep-neural-network-based sinogram synthesis for sparse-view CT image reconstruction
Recently, a number of approaches to low-dose computed tomography (CT) have been
developed and deployed in commercialized CT scanners. Tube current reduction is perhaps …
developed and deployed in commercialized CT scanners. Tube current reduction is perhaps …
Fast spatiotemporal image reconstruction based on low-rank matrix estimation for dynamic photoacoustic computed tomography
In order to monitor dynamic physiological events in near-real time, a variety of photoacoustic
computed tomography (PACT) systems have been developed that can rapidly acquire data …
computed tomography (PACT) systems have been developed that can rapidly acquire data …
Graph-based Mumford-Shah segmentation of dynamic PET with application to input function estimation
A graph-theoretic three-dimensional (3-D) segmentation algorithm based on Mumford-Shah
energy minimization is applied to the segmentation of brain/sup 18/F-fluoro-deoxyglucose …
energy minimization is applied to the segmentation of brain/sup 18/F-fluoro-deoxyglucose …
[HTML][HTML] Sparse-view synchrotron X-ray tomographic reconstruction with learning-based sinogram synthesis
CC Cheng, MH Chiang, CH Yeh, TT Lee… - Journal of Synchrotron …, 2023 - scripts.iucr.org
Synchrotron radiation can be used as a light source in X-ray microscopy to acquire a high-
resolution image of a microscale object for tomography. However, numerous projections …
resolution image of a microscale object for tomography. However, numerous projections …
Method and system of multivariate analysis on normalized volume-wise data in the sinogram domain for improved quality in positron emission tomography studies
P Razifar, M Bergstrom, B Langstrom - US Patent 8,175,360, 2012 - Google Patents
A method and system are provided for improving the quality in positron emission
tomography (PET) images. PET input data is masked using raw dynamic PET data …
tomography (PET) images. PET input data is masked using raw dynamic PET data …
Patient scan time optimization for PET/SPECT imaging
M Narayanan, BJ Bakker, D Gagnon, A Fischer… - US Patent …, 2011 - Google Patents
An imaging system (10) comprises a data device (30), which controls radiation data
acquisition from a Subject positioned in an examination region (18) for an examination. A …
acquisition from a Subject positioned in an examination region (18) for an examination. A …
[HTML][HTML] Novel approaches for application of principal component analysis on dynamic PET images for improvement of image quality and clinical diagnosis
P Razifar - 2005 - diva-portal.org
Abstract Razifar, p. 2005. Novel Approaches for Application of principal component Analysis
on Dynamic pET Images for Improvement of Image Quality and clinical Diagnosis. Acta …
on Dynamic pET Images for Improvement of Image Quality and clinical Diagnosis. Acta …
Lossless compression of medical image to overcome network congestion constraints
M Lakshminarayana, M Sarvagya - Emerging Research in Computing …, 2015 - Springer
In recent years there has been tremendous advancement into wireless communication and
networking and medical imaging, which has paved a foundation to conceptualize various …
networking and medical imaging, which has paved a foundation to conceptualize various …
Performance evaluation of functional medical imaging compression via optimal sampling schedule designs and cluster analysis
In previous work we have described a technique for the compression of positron emission
tomography (PET) image data in the spatial and temporal domains based on optimal …
tomography (PET) image data in the spatial and temporal domains based on optimal …
Volume-wise application of principal component analysis on masked dynamic PET data in sinogram domain
P Razifar, J Axelsson, H Schneider… - IEEE transactions on …, 2006 - ieeexplore.ieee.org
Most of the methods used for analyzing PET data are applied in the spatial domain (image
domain), in which reconstructed images contain all different types of effects and errors …
domain), in which reconstructed images contain all different types of effects and errors …