Systematic review of reconstruction techniques for accelerated quantitative MRI
Purpose To systematically review the techniques that address undersampling artifacts in
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
accelerated quantitative magnetic resonance imaging (qMRI). Methods A literature search …
Branch aggregation attention network for robotic surgical instrument segmentation
W Shen, Y Wang, M Liu, J Wang, R Ding… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
Surgical instrument segmentation is of great significance to robot-assisted surgery, but the
noise caused by reflection, water mist, and motion blur during the surgery as well as the …
noise caused by reflection, water mist, and motion blur during the surgery as well as the …
Accelerated Magnetic Resonance Parameter Map** With Low-Rank Modeling and Deep Generative Priors
Magnetic resonance (MR) parameter map** aims to quantify MR tissue parameter maps
that are valuable biomarkers for a range of biomedical applications. However, it involves …
that are valuable biomarkers for a range of biomedical applications. However, it involves …
MR image reconstruction from undersampled data for image-guided radiation therapy using a patient-specific deep manifold image prior
Introduction Recent advancements in radiotherapy (RT) have allowed for the integration of a
Magnetic Resonance (MR) imaging scanner with a medical linear accelerator to use MR …
Magnetic Resonance (MR) imaging scanner with a medical linear accelerator to use MR …
Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks
Objective Quantitative parameter map** conventionally relies on curve fitting techniques
to estimate parameters from magnetic resonance image series. This study compares …
to estimate parameters from magnetic resonance image series. This study compares …
Seeking common ground while reserving differences: Multiple anatomy collaborative framework for undersampled MRI reconstruction
Recently, deep neural networks have greatly advanced undersampled Magnetic Resonance
Image (MRI) reconstruction, wherein most studies follow the one-anatomy-one-network …
Image (MRI) reconstruction, wherein most studies follow the one-anatomy-one-network …
A Double Dictionaries Based Reconstruction Method for Magnetic Resonance Fingerprinting
M Li, Y Liu, Z Lee, A Jiang, Y Li, X Zhu - Available at SSRN 4789202 - papers.ssrn.com
To speed up the scan of magnetic resonance fingerprinting (MRf), sparse undersampling is
applied in k-space to reduce the sampled data. Since aliasing artifacts are hard to avoid in …
applied in k-space to reduce the sampled data. Since aliasing artifacts are hard to avoid in …