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Introduction: Quantification of dynamic contrast-enhanced (DCE)-MRI has the potential to provide valuable clinical information, but robust pharmacokinetic modeling remains a challenge for clinical adoption. Methods: A 7-layer neural network…

医学物理 · 物理学 2024-05-22 Ouri Cohen , Soudabeh Kargar , Sungmin Woo , Alberto Vargas , Ricardo Otazo

Objective: Gadolinium-based contrast agents (GBCAs) are commonly employed with T1w MRI to enhance lesion visualization but are restricted in patients at risk of nephrogenic systemic fibrosis and variations in GBCA administration can…

计算机视觉与模式识别 · 计算机科学 2025-09-30 Zach Eidex , Mojtaba Safari , Jie Ding , Richard Qiu , Justin Roper , David Yu , Hui-Kuo Shu , Zhen Tian , Hui Mao , Xiaofeng Yang

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is essential for breast cancer diagnosis due to its ability to characterize tissue through contrast agent kinetics. However, traditional DCE-MRI protocols require multiple…

计算机视觉与模式识别 · 计算机科学 2025-01-28 Ruben D. Fonnegra , Maria Liliana Hernández , Juan C. Caicedo , Gloria M. Díaz

Dynamic contrast-enhanced (DCE) MRI is essential for breast cancer diagnosis and treatment. However, its reliance on contrast agents introduces safety concerns, contraindications, increased cost, and workflow complexity. To this end, we…

Despite its benefits for tumour detection and treatment, the administration of contrast agents in dynamic contrast-enhanced MRI (DCE-MRI) is associated with a range of issues, including their invasiveness, bioaccumulation, and a risk of…

图像与视频处理 · 电气工程与系统科学 2024-06-03 Richard Osuala , Smriti Joshi , Apostolia Tsirikoglou , Lidia Garrucho , Walter H. L. Pinaya , Oliver Diaz , Karim Lekadir

Dynamic contrast-enhanced (DCE) MRI is an evolving imaging technique that provides a quantitative measure of pharmacokinetic (PK) parameters in body tissues, in which series of T1-weighted images are collected following the administration…

计算机视觉与模式识别 · 计算机科学 2018-06-13 Cagdas Ulas , Giles Tetteh , Michael J. Thrippleton , Paul A. Armitage , Stephen D. Makin , Joanna M. Wardlaw , Mike E. Davies , Bjoern H. Menze

Purpose: Dynamic glucose enhanced (DGE) MRI studies employ chemical exchange saturation transfer (CEST) or spin lock (CESL) to study glucose uptake. Currently, these methods are hampered by low effect size and sensitivity to motion. To…

Background: Magnetic resonance imaging (MRI) has high sensitivity for breast cancer detection, but interpretation is time-consuming. Artificial intelligence may aid in pre-screening. Purpose: To evaluate the DINOv2-based Medical Slice…

This paper presents a method for virtual contrast enhancement in breast MRI, offering a promising non-invasive alternative to traditional contrast agent-based DCE-MRI acquisition. Using a conditional generative adversarial network, we…

图像与视频处理 · 电气工程与系统科学 2025-05-15 Richard Osuala , Smriti Joshi , Apostolia Tsirikoglou , Lidia Garrucho , Walter H. L. Pinaya , Daniel M. Lang , Julia A. Schnabel , Oliver Diaz , Karim Lekadir

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a medical imaging technique that plays a crucial role in the detailed visualization and identification of tissue perfusion in abnormal lesions and radiological suggestions…

图像与视频处理 · 电气工程与系统科学 2025-02-06 Divya Bharti , Sriprabha Ramanarayanan , Sadhana S , Kishore Kumar M , Keerthi Ram , Harsh Agarwal , Ramesh Venkatesan , Mohanasankar Sivaprakasam

Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a valuable tool to localize, characterize, and evaluate anomalous prostate tissue. Ultrafast gradient-echo acquisitions of MRI volumes are generated at regular time intervals…

Neoadjuvant chemotherapy (NAC) is a common therapy option before the main surgery for breast cancer. Response to NAC is monitored using follow-up dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Accurate prediction of NAC…

计算机视觉与模式识别 · 计算机科学 2025-09-30 Jonghun Kim , Hyunjin Park

Dynamic Contrast Enhanced Magnetic Resonance Imaging aids in the detection and assessment of tumor aggressiveness by using a Gadolinium-based contrast agent (GBCA). However, GBCA is known to have potential toxic effects. This risk can be…

图像与视频处理 · 电气工程与系统科学 2024-02-06 Sadhana S , Sriprabha Ramanarayanan , Arunima Sarkar , Matcha Naga Gayathri , Keerthi Ram , Mohanasankar Sivaprakasam

This study aimed to propose a denoising method for dynamic contrast-enhanced computed tomography (DCE-CT) perfusion studies using a three-dimensional deep image prior (DIP), and to investigate its usefulness in comparison with total…

医学物理 · 物理学 2023-04-04 Kenya Murase

Objective: Gadolinium-based contrast agents (GBCAs) are commonly used in MRI scans of patients with gliomas to enhance brain tumor characterization using T1-weighted (T1W) MRI. However, there is growing concern about GBCA toxicity. This…

图像与视频处理 · 电气工程与系统科学 2024-09-04 Zach Eidex , Mojtaba Safari , Richard L. J. Qiu , David S. Yu , Hui-Kuo Shu , Hui Mao , Xiaofeng Yang

Dynamic Contrast-enhanced magnetic resonance imaging (DCE-MRI) is a tissue perfusion imaging technique. Some versatile free-breathing DCE-MRI techniques combining compressed sensing (CS) and parallel imaging with golden-angle radial…

医学物理 · 物理学 2020-07-08 Yuhan Hu , Xinlin Zhang , Li Feng , Dicheng Chen , Zhiping Yan , Xiaoyong Shen , Gen Yan , Lin Ou-yang , Xiaobo Qu

Contrast agents in dynamic contrast enhanced magnetic resonance imaging allow to localize tumors and observe their contrast kinetics, which is essential for cancer characterization and respective treatment decision-making. However, contrast…

Background: This protocol introduces an ultrasound (US) configuration for whole-body 3D dynamic contrast-enhanced ultrasound (DCE-US) imaging in preclinical applications. The set-up relies on a clinical abdominal matrix US probe to enable…

Objectives: To evaluate a deep learning (DL) model for reducing the agent dose of contrast-enhanced T1-weighted MRI (T1ce) of the cerebellopontine angle (CPA) cistern. Materials and methods: In this multi-center retrospective study, T1 and…

计算机视觉与模式识别 · 计算机科学 2025-12-12 Yunjie Chen , Rianne A. Weber , Olaf M. Neve , Stephan R. Romeijn , Erik F. Hensen , Jelmer M. Wolterink , Qian Tao , Marius Staring , Berit M. Verbist

Style transfer in DCE-MRI is a challenging task due to large variations in contrast enhancements across different tissues and time. Current unsupervised methods fail due to the wide variety of contrast enhancement and motion between the…

图像与视频处理 · 电气工程与系统科学 2023-10-23 Adam G. Tattersall , Keith A. Goatman , Lucy E. Kershaw , Scott I. K. Semple , Sonia Dahdouh
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