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Introduction: Quantitative MRI techniques such as T2 and T1\r{ho} mapping are beneficial in evaluating knee joint pathologies; however, long acquisition times limit their clinical adoption. MIXTURE (Multi-Interleaved X-prepared Turbo-Spin…

Quantifying muscle tissue properties is crucial for understanding pathophysiological changes occurring in skeletal muscle (SM). In particular, T2 relaxation and diffusion MRI (dMRI) are promising techniques. However, typical methods measure…

Purpose: To propose and evaluate an accelerated $T_{1\rho}$ quantification method that combines $T_{1\rho}$-weighted fast spin echo (FSE) images and proton density (PD)-weighted anatomical FSE images, leveraging deep learning models for…

图像与视频处理 · 电气工程与系统科学 2025-08-06 Junru Zhong , Chaoxing Huang , Ziqiang Yu , Fan Xiao , Siyue Li , Tim-Yun Michael Ong , Ki-Wai Kevin Ho , Queenie Chan , James F. Griffith , Weitian Chen

Objective: We evaluate a fully-automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin echo (MESE) MRI. We have open sourced this model and corresponding…

Background: MRI is the modality of choice for cartilage imaging; however, its diagnostic performance is variable and significantly lower than the gold standard diagnostic knee arthroscopy. In recent years, deep learning has been used to…

计算机视觉与模式识别 · 计算机科学 2021-06-24 Gergo Merkely , Alireza Borjali , Molly Zgoda , Evan M. Farina , Simon Gortz , Orhun Muratoglu , Christian Lattermann , Kartik M. Varadarajan

Objective: To establish an automated pipeline for post-processing of quantitative spin-lattice relaxation time constant in the rotating frame ($T_{1\rho}$) imaging of knee articular cartilage. Design: The proposed post-processing pipeline…

图像与视频处理 · 电气工程与系统科学 2024-09-20 Junru Zhong , Yongcheng Yao , Fan Xiao , Tim-Yun Michael Ong , Ki-Wai Kevin Ho , Siyue Li , Chaoxing Huang , Queenie Chan , James F. Griffith , Weitian Chen

Purpose: To organize a knee MRI segmentation challenge for characterizing the semantic and clinical efficacy of automatic segmentation methods relevant for monitoring osteoarthritis progression. Methods: A dataset partition consisting of 3D…

Quantification of tissue parameters using MRI is emerging as a powerful tool in clinical diagnosis and research studies. The need for multiple long scans with different acquisition parameters prohibits quantitative MRI from reaching…

定量方法 · 定量生物学 2024-08-07 Amir Heydari , Abbas Ahmadi , Tae Hyung Kim , Berkin Bilgic

Cardiac T1 mapping is a valuable quantitative MRI technique for diagnosing diffuse myocardial diseases. Traditional methods, relying on breath-hold sequences and cardiac triggering based on an ECG signal, face challenges with patient…

图像与视频处理 · 电气工程与系统科学 2025-03-10 Eyal Hanania , Adi Zehavi-Lenz , Ilya Volovik , Daphna Link-Sourani , Israel Cohen , Moti Freiman

T2 mapping in fetal brain MRI has the potential to improve characterization of the developing brain, especially at mid-field (0.55T), where T2 decay is slower. However, this is challenging as fetal MRI acquisition relies on multiple…

In radial fast spin-echo MRI, a set of overlapping spokes with an inconsistent T2 weighting is acquired, which results in an averaged image contrast when employing conventional image reconstruction techniques. This work demonstrates that…

医学物理 · 物理学 2016-03-02 Kai Tobias Block , Martin Uecker , Jens Frahm

Objective: To assess response-to-loading in a human cadaveric knee joint model under different loading conditions before and after meniscectomy Design: In this prospective study, stress magnetic resonance imaging was performed using an…

Plain radiography is the most common modality to assess the stage of osteoarthritis. Our aims were to assess the relationship of radiography-based bone density and texture between radiographs with minimal and clinical post-processing, and…

医学物理 · 物理学 2019-02-07 Jukka Hirvasniemi , Jaakko Niinimäki , Jérôme Thevenot , Simo Saarakkala

Imaging features of knee articular cartilage have been shown to be potential imaging biomarkers for knee osteoarthritis. Despite recent methodological advancements in image analysis techniques like image segmentation, registration, and…

图像与视频处理 · 电气工程与系统科学 2024-09-12 Yongcheng Yao , Weitian Chen

Purpose: To implement and evaluate a new dictionary-based technique for native myocardial T1 and T2 mapping using Cartesian sampling. Methods: The proposed technique (Multimapping) consisted of single-shot Cartesian image acquisitions in 10…

医学物理 · 物理学 2022-01-05 Markus Henningsson

Objective: To develop an accurate myocardial T1 mapping technique at 5T using Look-Locker-based multiple inversion-recovery with the real-time spoiled gradient echo (GRE) acquisition. Approach: The proposed T1 mapping technique (mIR-rt)…

Quantitative MRI (qMRI) methods allow reducing the subjectivity of clinical MRI by providing numerical values on which diagnostic assessment or predictions of tissue properties can be based. However, qMRI measurements typically take more…

医学物理 · 物理学 2022-02-15 Matti Hanhela , Antti Paajanen , Mikko J. Nissi , Ville Kolehmainen

Myocardial T1 mapping is a cardiac MRI technique, used to assess myocardial fibrosis. In this technique, a series of T1-weighted MRI images are acquired with different saturation or inversion times. These images are fitted to the T1 model…

图像与视频处理 · 电气工程与系统科学 2021-09-22 Dar Arava , Mohammad Masarwy , Samah Khawaled , Moti Freiman

We introduce CartiMorph, a framework for automated knee articular cartilage morphometrics. It takes an image as input and generates quantitative metrics for cartilage subregions, including the percentage of full-thickness cartilage loss…

图像与视频处理 · 电气工程与系统科学 2023-11-22 Yongcheng Yao , Junru Zhong , Liping Zhang , Sheheryar Khan , Weitian Chen

Objectives: To develop a joint k-TE reconstruction algorithm to reconstruct the T2-weighted (T2W) images and T2 map simultaneously. Materials and Methods: The joint k-TE reconstruction model was formulated as an optimization problem subject…

医学物理 · 物理学 2023-01-13 Yan Dai , Xun Jia , Yen-Peng Liao , Jiaen Liu , Jie Deng
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