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Related papers: Temporal Huber regularization for DCE-MRI

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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

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…

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

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…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Ruben D. Fonnegra , Maria Liliana Hernández , Juan C. Caicedo , Gloria M. Díaz

In dynamic MRI, sufficient time resolution can often only be obtained using imaging protocols which produce undersampled data for each image in the time series. This has led to the popularity of compressed sensing (CS) based image…

Perfusion-weighted magnetic resonance imaging (MRI) is an imaging technique that allows one to measure tissue perfusion in an organ of interest through the injection of an intravascular paramagnetic contrast agent (CA). Due to a preference…

Computer Vision and Pattern Recognition · Computer Science 2017-08-28 Cagdas Ulas , Christine Preibisch , Jonathan Sperl , Thomas Pyka , Jayashree Kalpathy-Cramer , Bjoern Menze

The purpose of this study was to quantitatively evaluate the performance of different simultaneous spatial and temporal regularizers in liver perfusion studies using low-dose dynamic contrast-enhanced computed tomography (DCE-CT). A digital…

Medical Physics · Physics 2023-10-20 Kenya Murase , Atsushi Nakamoto , Noriyuki Tomiyama

Kidney DCE-MRI aims at both qualitative assessment of kidney anatomy and quantitative assessment of kidney function by estimating the tracer kinetic (TK) model parameters. Accurate estimation of TK model parameters requires an accurate…

Machine Learning · Computer Science 2022-01-03 Aziz Koçanaoğulları , Cemre Ariyurek , Onur Afacan , Sila Kurugol

Dynamic contrast-enhanced magnetic resonance imaging (DCE- MRI) is a widely used multi-phase technique routinely used in clinical practice. DCE and similar datasets of dynamic medical data tend to contain redundant information on the…

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

Purpose: To apply tracer kinetic models as temporal constraints during reconstruction of under-sampled dynamic contrast enhanced (DCE) MRI. Methods: A library of concentration v.s time profiles is simulated for a range of physiological…

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…

Computer Vision and Pattern Recognition · Computer Science 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

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…

Medical Physics · Physics 2023-04-04 Kenya Murase

Dynamic contrast-enhanced (DCE) cardiac magnetic resonance imaging (CMRI) is a widely used modality for diagnosing myocardial blood flow (perfusion) abnormalities. During a typical free-breathing DCE-CMRI scan, close to 300 time-resolved…

Image and Video Processing · Electrical Eng. & Systems 2023-11-14 Dilek M. Yalcinkaya , Khalid Youssef , Bobak Heydari , Orlando Simonetti , Rohan Dharmakumar , Subha Raman , Behzad Sharif

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…

Image and Video Processing · Electrical Eng. & Systems 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 (DCE) magnetic resonance imaging (MRI) ideally requires a high spatial and high temporal resolution, but hardware limitations prevent acquisitions from simultaneously achieving both. Existing image reconstruction…

Signal Processing · Electrical Eng. & Systems 2025-11-18 Alexander J. Mertens , Hai-Ling Margaret Cheng

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a minimally invasive imaging technique which can be used for characterizing tumor biology and tumor response to radiotherapy. Pharmacokinetic (PK) estimation is widely used…

Image and Video Processing · Electrical Eng. & Systems 2018-03-06 Xia Zhu , Dipanjan Sengupta , Andrew Beers , Kalpathy-Cramer Jayashree , Theodore L. Willke

We propose a novel deformation corrected compressed sensing (DC-CS) framework to recover dynamic magnetic resonance images from undersampled measurements. We introduce a generalized formulation that is capable of handling a wide class of…

Computer Vision and Pattern Recognition · Computer Science 2014-09-04 Sajan Goud Lingala , Edward DiBella , Mathews Jacob

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…

Image and Video Processing · Electrical Eng. & Systems 2024-02-06 Sadhana S , Sriprabha Ramanarayanan , Arunima Sarkar , Matcha Naga Gayathri , Keerthi Ram , Mohanasankar Sivaprakasam

Purpose: To introduce a novel deep learning based approach for fast and high-quality dynamic multi-coil MR reconstruction by learning a complementary time-frequency domain network that exploits spatio-temporal correlations simultaneously…

Image and Video Processing · Electrical Eng. & Systems 2021-06-21 Chen Qin , Jinming Duan , Kerstin Hammernik , Jo Schlemper , Thomas Küstner , René Botnar , Claudia Prieto , Anthony N. Price , Joseph V. Hajnal , Daniel Rueckert

Magnetic Resonance Imaging (MRI) offers unparalleled soft-tissue contrast but is fundamentally limited by long acquisition times. While deep learning-based accelerated MRI can dramatically shorten scan times, the reconstruction from…

Image and Video Processing · Electrical Eng. & Systems 2025-08-22 Paul Fischer , Jan Nikolas Morshuis , Thomas Küstner , Christian Baumgartner
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