Search Results for author: Anthony Price

Found 5 papers, 5 papers with code

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction

4 code implementations5 Dec 2017 Chen Qin, Jo Schlemper, Jose Caballero, Anthony Price, Joseph V. Hajnal, Daniel Rueckert

In particular, the proposed architecture embeds the structure of the traditional iterative algorithms, efficiently modelling the recurrence of the iterative reconstruction stages by using recurrent hidden connections over such iterations.

Image Reconstruction Temporal Sequences

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

4 code implementations8 Apr 2017 Jo Schlemper, Jose Caballero, Joseph V. Hajnal, Anthony Price, Daniel Rueckert

Firstly, we show that when each 2D image frame is reconstructed independently, the proposed method outperforms state-of-the-art 2D compressed sensing approaches such as dictionary learning-based MR image reconstruction, in terms of reconstruction error and reconstruction speed.

Dictionary Learning Image Reconstruction

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations

1 code implementation22 Jul 2019 Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph Hajnal, Daniel Rueckert

Experiments conducted on highly undersampled short-axis cardiac cine MRI scans demonstrate that our proposed method outperforms the current state-of-the-art dynamic MR reconstruction approaches both quantitatively and qualitatively.

Image Reconstruction

Efficiency analysis for quantitative MRI of T1 and T2 relaxometry methods

1 code implementation6 May 2020 David Leitão, Rui Pedro A. G. Teixeira, Anthony Price, Alena Uus, Joseph V. Hajnal, Shaihan J. Malik

This work presents and validates an efficiency metric to optimize and compare the performance of qMRI methods.

Medical Physics Image and Video Processing

Cannot find the paper you are looking for? You can Submit a new open access paper.