Kinetic Compressive Sensing

no code implementations • 27 Mar 2018 • Michele Scipioni, Maria F. Santarelli, Luigi Landini, Ciprian Catana, Douglas N. Greve, Julie C. Price, Stefano Pedemonte

We evaluated the proposed algorithm on a simulated dynamic phantom: a bias/variance study confirmed how direct estimates can improve the quality of parametric maps over a post-reconstruction fitting, and showed how the novel sparsity prior can further reduce their variance, without affecting bias.

Compressive Sensing Time Series +1

Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network

no code implementations • 4 Jul 2018 • Kuang Gong, Kyungsang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li

The representation is expressed using a deep neural network with the patient's prior images as network input.

Image Denoising Image Reconstruction +1

Direct Reconstruction of Linear Parametric Images from Dynamic PET Using Nonlocal Deep Image Prior

no code implementations • 18 Jun 2021 • Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li

Direct reconstruction methods have been developed to estimate parametric images directly from the measured PET sinograms by combining the PET imaging model and tracer kinetics in an integrated framework.

Denoising