English
Related papers

Related papers: Prepared MR Elastography

200 papers

Cardiac Magnetic Resonance (CMR) imaging provides a comprehensive assessment of cardiac structure and function but remains constrained by high acquisition costs and reliance on expert annotations, limiting the availability of large-scale…

Image and Video Processing · Electrical Eng. & Systems 2026-02-11 Xiaocheng Fang , Zhengyao Ding , Guangkun Nie , Jieyi Cai , Yujie Xiao , Bo Liu , Jiarui Jin , Haoyu Wang , Shun Huang , Ting Chen , Hongyan Li , Shenda Hong

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) plays an important role in breast cancer screening, tumor assessment, and treatment planning and monitoring. The dynamic changes in contrast in different tissues help to…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Rui Wang , Yuexi Du , John Lewin , R. Todd Constable , Nicha C. Dvornek

We propose differential phase contrast (DPC) imaging using energy-filtered electrons to image the magnetic properties of materials at the atomic scale. Compared to DPC measurements with elastic electrons, our simulations predict about two…

Materials Science · Physics 2024-09-02 Devendra Singh Negi , Peter A. van Aken , Jan Rusz

Purpose: To develop a framework to reconstruct large-scale volumetric dynamic MRI from rapid continuous and non-gated acquisitions, with applications to pulmonary and dynamic contrast enhanced (DCE) imaging. Theory and Methods: The problem…

The Masked Autoencoder (MAE) has recently demonstrated effectiveness in pre-training Vision Transformers (ViT) for analyzing natural images. By reconstructing complete images from partially masked inputs, the ViT encoder gathers contextual…

Image and Video Processing · Electrical Eng. & Systems 2025-06-03 Badhan Kumar Das , Gengyan Zhao , Han Liu , Thomas J. Re , Dorin Comaniciu , Eli Gibson , Andreas Maier

We propose SparseContrast, a new framework that merges dynamic sparse attention with contrastive learning for medical imaging, with a focus on chest X-ray disease detection in low-data settings. Traditional contrastive learning methods rely…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Paarth Prasad , Ruchika Malhotra

Magnetic resonance imaging (MRI) is one of the noninvasive imaging modalities that can produce high-quality images. However, the scan procedure is relatively slow, which causes patient discomfort and motion artifacts in images. Accelerating…

Image and Video Processing · Electrical Eng. & Systems 2023-01-18 Samira Vafay Eslahi , Jian Tao , Jim Ji

An objective and accurate emotion diagnostic reference is vital to psychologists, especially when dealing with patients who are difficult to communicate with for pathological reasons. Nevertheless, current systems based on…

Machine Learning · Computer Science 2024-06-21 Yimin Zhao , Jin Gu

Magnetoelastic composites are integral elements of sensors and actuators utilizing magnetostriction for their functionality. Their sensitivity typically scales with the saturation magnetostriction and inversely with magnetic anisotropy.…

Magnetic resonance elastography (MRE) for measuring viscoelasticity heavily depends on proper tissue segmentation, especially in heterogeneous organs such as the prostate. Using trained network-based image segmentation, we investigated if…

Image and Video Processing · Electrical Eng. & Systems 2021-06-22 Nader Aldoj , Federico Biavati , Marc Dewey , Anja Hennemuth , Patrick Asbach , Ingolf Sack

Late gadolinium enhancement MRI (LGE MRI) is the gold standard for the detection of myocardial scars for post myocardial infarction (MI). LGE MRI requires the injection of a contrast agent, which carries potential side effects and increases…

Image and Video Processing · Electrical Eng. & Systems 2025-01-10 Guang Yang , Jingkun Chen , Xicheng Sheng , Shan Yang , Xiahai Zhuang , Betty Raman , Lei Li , Vicente Grau

Purpose: The long scan times of quantitative MRI techniques make motion artifacts more likely. For MR-Fingerprinting-like approaches, this problem can be addressed with self-navigated retrospective motion correction based on reconstructions…

Medical Physics · Physics 2025-06-18 Elisa Marchetto , Sebastian Flassbeck , Andrew Mao , Jakob Assländer

Magnetic Resonance Imaging (MRI) has become one of the most important tools to screen humans in medicine, virtually every modern hospital is equipped with an NMR tomograph. The potential of NMR in 3D imaging tasks is by far greater, but…

Soft Condensed Matter · Physics 2018-09-14 Ralf Stannarius

Multi-modal magnetic resonance imaging (MRI) is essential for providing complementary information about brain anatomy and pathology, leading to more accurate diagnoses. However, obtaining high-quality multi-modal MRI in a clinical setting…

Image and Video Processing · Electrical Eng. & Systems 2025-04-15 Minjoo Lim , Bogyeong Kang , Tae-Eui Kam

Accelerated Magnetic Resonance Imaging (MRI) permits high quality images from fewer samples that can be collected with a faster scan. Two established methods for accelerating MRI include parallel imaging and compressed sensing. Two types of…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Nicholas Dwork , Alex McManus , Stephen Becker , Gennifer T. Smith

Compressed sensing takes advantage of low-dimensional signal structure to reduce sampling requirements far below the Nyquist rate. In magnetic resonance imaging (MRI), this often takes the form of sparsity through wavelet transform, finite…

Image and Video Processing · Electrical Eng. & Systems 2020-02-19 Jonathan I. Tamir , Frank Ong , Suma Anand , Ekin Karasan , Ke Wang , Michael Lustig

Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquired from MRE coupled with noise pose challenges for accurate…

Image and Video Processing · Electrical Eng. & Systems 2023-04-05 Shengyuan Ma , Runke Wang , Suhao Qiu , Ruokun Li , Qi Yue , Qingfang Sun , Liang Chen , Fuhua Yan , Guang-Zhong Yang , Yuan Feng

Prepolarized Magnetic Resonance Imaging (PMRI) is a long-established technique conceived to counteract the loss in signal-to-noise ratio (SNR) inherent to low-field MRI systems. When it comes to hard biological tissues and solid-state…

In this work we consider the image reconstruction problem of sparsely sampled dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI). DCE-MRI is a technique for acquiring a series of MR images before, during and after intravenous…

Image and Video Processing · Electrical Eng. & Systems 2020-02-24 Kati Niinimäki , Matti Hanhela , Ville Kolehmainen

MRI images of the same subject in different contrasts contain shared information, such as the anatomical structure. Utilizing the redundant information amongst the contrasts to sub-sample and faithfully reconstruct multi-contrast images…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Xinwen Liu , Jing Wang , Fangfang Tang , Shekhar S. Chandra , Feng Liu , Stuart Crozier
‹ Prev 1 4 5 6 7 8 10 Next ›