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相关论文: Low-field magnetic resonance image enhancement via…

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MR images scanned at low magnetic field ($<1$T) have lower resolution in the slice direction and lower contrast, due to a relatively small signal-to-noise ratio (SNR) than those from high field (typically 1.5T and 3T). We adapt the recent…

1.5T or 3T scanners are the current standard for clinical MRI, but low-field (<1T) scanners are still common in many lower- and middle-income countries for reasons of cost and robustness to power failures. Compared to modern high-field…

Low-field (LF) MRI scanners (<1T) are still prevalent in settings with limited resources or unreliable power supply. However, they often yield images with lower spatial resolution and contrast than high-field (HF) scanners. This quality…

图像与视频处理 · 电气工程与系统科学 2023-11-14 Seunghoi Kim , Henry F. J. Tregidgo , Ahmed K. Eldaly , Matteo Figini , Daniel C. Alexander

Portable ultra-low-field MRI (uLF-MRI, 0.064 T) offers accessible neuroimaging for neonatal care but suffers from low signal-to-noise ratio and poor diagnostic quality compared to high-field (HF) MRI. We propose MRIQT, a 3D conditional…

计算机视觉与模式识别 · 计算机科学 2026-03-09 Malek Al Abed , Sebiha Demir , Anne Groteklaes , Elodie Germani , Shahrooz Faghihroohi , Hemmen Sabir , Shadi Albarqouni

Low-field magnetic resonance imaging (MRI) provides affordable access to diagnostic imaging but suffers from prolonged acquisition and limited image quality. Accelerated imaging can be achieved with k-space undersampling, while…

计算机视觉与模式识别 · 计算机科学 2026-03-03 Daniel Tweneboah Anyimadu , Mohammed M. Abdelsamea , Ahmed Karam Eldaly

Image Quality Transfer (IQT) aims to enhance the contrast and resolution of low-quality medical images, e.g. obtained from low-power devices, with rich information learned from higher quality images. In contrast to existing IQT methods…

图像与视频处理 · 电气工程与系统科学 2024-11-12 Ahmed Karam Eldaly , Matteo Figini , Daniel C. Alexander

Recent developments in low-field (LF) magnetic resonance imaging (MRI) systems present remarkable opportunities for affordable and widespread MRI access. A robust denoising method to overcome the intrinsic low signal-noise-ratio (SNR)…

图像与视频处理 · 电气工程与系统科学 2024-05-01 Zheren Zhu , Azaan Rehman , Xiaozhi Cao , Congyu Liao , Yoo Jin Lee , Michael Ohliger , Hui Xue , Yang Yang

Low-dose computed tomography (CT) represents a significant improvement in patient safety through lower radiation doses, but increased noise, blur, and contrast loss can diminish diagnostic quality. Therefore, consistency and robustness in…

计算机视觉与模式识别 · 计算机科学 2025-11-11 Kagan Celik , Mehmet Ozan Unal , Metin Ertas , Isa Yildirim

Low-field (LF) magnetic resonance imaging (MRI) improves accessibility and reduces costs but generally has lower signal-to-noise ratios and degraded contrast compared to high field (HF) MRI, limiting its clinical utility. Simulating LF MRI…

图像与视频处理 · 电气工程与系统科学 2026-03-27 Ziqi Gao , Nicha Dvornek , Xiaoran Zhang , Gigi Galiana , Hemant Tagare , Todd Constable

Low-field magnetic resonance imaging (MRI) offers a cost-effective alternative for medical imaging in resource-limited settings. However, its widespread adoption is hindered by two key challenges: prolonged scan times and reduced image…

计算机视觉与模式识别 · 计算机科学 2026-03-17 Daniel Tweneboah Anyimadu , Mohammed Abdalla , Mohammed M. Abdelsamea , Ahmed Karam Eldaly

Low-field magnetic resonance imaging (MRI) offers affordable access to diagnostic imaging but faces challenges such as prolonged acquisition times and reduced image quality. Although accelerated imaging via k-space undersampling helps…

计算机视觉与模式识别 · 计算机科学 2026-03-17 Daniel Tweneboah Anyimadu , Mohammed M. Abdelsamea , Ahmed Karam Eldaly

This paper introduces a novel framework for image quality transfer based on conditional flow matching (CFM). Unlike conventional generative models that rely on iterative sampling or adversarial objectives, CFM learns a continuous flow…

计算机视觉与模式识别 · 计算机科学 2025-10-15 Huu Tien Nguyen , Ahmed Karam Eldaly

This thesis reports advances in magnetic resonance imaging (MRI), with the ultimate goal of improving signal and contrast in biomedical applications. More specifically, novel MRI pulse sequences have been designed to characterize…

医学物理 · 物理学 2015-07-07 Yi Han

Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR) image, namely inverse tone mapping (ITM), is challenging due to the lack of information in over- and under-exposed regions. Current methods focus exclusively…

图像与视频处理 · 电气工程与系统科学 2022-04-12 Juan Borrego-Carazo , Mete Ozay , Frederik Laboyrie , Paul Wisbey

In this paper, we propose an image quality transformer (IQT) that successfully applies a transformer architecture to a perceptual full-reference image quality assessment (IQA) task. Perceptual representation becomes more important in image…

计算机视觉与模式识别 · 计算机科学 2021-05-06 Manri Cheon , Sung-Jun Yoon , Byungyeon Kang , Junwoo Lee

Recent innovations in Magnetic Resonance Imaging (MRI) hardware and software have reignited interest in low-field ($<1\,\mathrm{T}$) and ultra-low-field MRI ($<0.1\,\mathrm{T}$). These technologies offer advantages such as lower power…

图像与视频处理 · 电气工程与系统科学 2025-01-30 Andreas Kofler , Dongyue Si , David Schote , Rene M Botnar , Christoph Kolbitsch , Claudia Prieto

Image quality assessment (IQA) is an important research topic for understanding and improving visual experience. The current state-of-the-art IQA methods are based on convolutional neural networks (CNNs). The performance of CNN-based models…

计算机视觉与模式识别 · 计算机科学 2021-08-16 Junjie Ke , Qifei Wang , Yilin Wang , Peyman Milanfar , Feng Yang

Purpose: Magnetization transfer (MT) and inhomogeneous MT (ihMT) contrasts are used in MRI to provide information about macromolecular tissue content. In particular, MT is sensitive to macromolecules and ihMT appears to be specific to…

Limited accessibility to high field MRI scanners (such as 7T, 11T) has motivated the development of post-processing methods to improve low field images. Several existing post-processing methods have shown the feasibility to improve 3T…

图像与视频处理 · 电气工程与系统科学 2025-01-06 Prabhjot Kaur , Atul Singh Minhas , Chirag Kamal Ahuja , Anil Kumar Sao

Light field (LF) images containing information for multiple views have numerous applications, which can be severely affected by low-light imaging. Recent learning-based methods for low-light enhancement have some disadvantages, such as a…

计算机视觉与模式识别 · 计算机科学 2023-08-16 Shansi Zhang , Nan Meng , Edmund Y. Lam
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