MRI-guided radiation therapy: an emerging paradigm in adaptive radiation oncology
Radiation therapy (RT) continues to be one of the mainstays of cancer treatment.
Considerable efforts have been recently devoted to integrating MRI into clinical RT planning …
Considerable efforts have been recently devoted to integrating MRI into clinical RT planning …
Compressed sensing for body MRI
The introduction of compressed sensing for increasing imaging speed in magnetic
resonance imaging (MRI) has raised significant interest among researchers and clinicians …
resonance imaging (MRI) has raised significant interest among researchers and clinicians …
Deep generative adversarial neural networks for compressive sensing MRI
Undersampled magnetic resonance image (MRI) reconstruction is typically an ill-posed
linear inverse task. The time and resource intensive computations require tradeoffs between …
linear inverse task. The time and resource intensive computations require tradeoffs between …
Compressed sensing: From research to clinical practice with deep neural networks: Shortening scan times for magnetic resonance imaging
Compressed sensing (CS) reconstruction methods leverage sparse structure in underlying
signals to recover high-resolution images from highly undersampled measurements. When …
signals to recover high-resolution images from highly undersampled measurements. When …
T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging
Purpose A new acquisition and reconstruction method called T2 Shuffling is presented for
volumetric fast spin‐echo (three‐dimensional [3D] FSE) imaging. T2 Shuffling reduces …
volumetric fast spin‐echo (three‐dimensional [3D] FSE) imaging. T2 Shuffling reduces …
Recent advances in parallel imaging for MRI
Abstract Magnetic Resonance Imaging (MRI) is an essential technology in modern
medicine. However, one of its main drawbacks is the long scan time needed to localize the …
medicine. However, one of its main drawbacks is the long scan time needed to localize the …
Spectral compressed sensing via structured matrix completion
The paper studies the problem of recovering a spectrally sparse object from a small number
of time domain samples. Specifically, the object of interest with ambient dimension n is …
of time domain samples. Specifically, the object of interest with ambient dimension n is …
High‐dimensionality undersampled patch‐based reconstruction (HD‐PROST) for accelerated multi‐contrast MRI
Purpose To develop a new high‐dimensionality undersampled patch‐based reconstruction
(HD‐PROST) for highly accelerated 2D and 3D multi‐contrast MRI. Methods HD‐PROST …
(HD‐PROST) for highly accelerated 2D and 3D multi‐contrast MRI. Methods HD‐PROST …
Comprehensive MRI simulation methodology using a dedicated MRI scanner in radiation oncology for external beam radiation treatment planning
ES Paulson, B Erickson, C Schultz, X Allen Li - Medical physics, 2015 - Wiley Online Library
Purpose: The use of magnetic resonance imaging (MRI) in radiation oncology is expanding
rapidly, and more clinics are integrating MRI into their radiation therapy workflows. However …
rapidly, and more clinics are integrating MRI into their radiation therapy workflows. However …
Unsupervised MRI reconstruction with generative adversarial networks
Deep learning-based image reconstruction methods have achieved promising results
across multiple MRI applications. However, most approaches require large-scale fully …
across multiple MRI applications. However, most approaches require large-scale fully …