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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…

Image and Video Processing · Electrical Eng. & Systems 2024-06-03 Richard Osuala , Smriti Joshi , Apostolia Tsirikoglou , Lidia Garrucho , Walter H. L. Pinaya , Oliver Diaz , Karim Lekadir

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

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

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…

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…

Medical Physics · Physics 2024-05-22 Ouri Cohen , Soudabeh Kargar , Sungmin Woo , Alberto Vargas , Ricardo Otazo

Synthesizing high fidelity contrast enhanced MRI is clinically valuable for safer and more efficient breast cancer screening, yet remains challenging due to complex lesion textures and heterogeneous enhancement patterns.

Computer Vision and Pattern Recognition · Computer Science 2026-05-28 Tianyu Zhang , Xinglong Liang , Jarek van Dijk , Luyi Han , Chunyao Lu , Antonio Portaluri , Xinghe Xie , Yaofei Duan , Nika Rasoolzadeh , Xin Wang , Yuan Gao , Muzhen He , Yue Sun , Jonas Teuwen , Tao Tan , Ritse Mann

Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) is widely used to complement ultrasound examinations and x-ray mammography during the early detection and diagnosis of breast cancer. However, images generated by various MRI…

Image and Video Processing · Electrical Eng. & Systems 2021-06-18 Gourav Modanwal , Adithya Vellal , Maciej A. Mazurowski

Contrast-enhanced imaging is central to oncologic diagnosis, but contrast agents can be contraindicated for many of the patients who need them most. Synthesizing contrast scans from non-contrast inputs is the natural response. Two obstacles…

Computer Vision and Pattern Recognition · Computer Science 2026-05-11 Yifan Chen , Fei Yin , Hao Chen , Jia Wu , Chao Li

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…

Image and Video Processing · Electrical Eng. & Systems 2025-02-06 Divya Bharti , Sriprabha Ramanarayanan , Sadhana S , Kishore Kumar M , Keerthi Ram , Harsh Agarwal , Ramesh Venkatesan , Mohanasankar Sivaprakasam

Deep transfer learning using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has shown strong predictive power in characterization of breast lesions. However, pretrained convolutional neural networks (CNNs) require 2D inputs,…

Medical Physics · Physics 2019-11-11 Qiyuan Hu , Heather M. Whitney , Maryellen L. Giger

In this study, 529 variables extracted from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of 922 breast cancer patients have been evaluated, focusing on distinguishing between recurrent and non-recurrent cases, as well as…

Other Quantitative Biology · Quantitative Biology 2024-01-10 Virginia del Campo , Iker Malaina

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…

Medical Physics · Physics 2017-10-11 Wuilian Torres , Leonardo Cordero , Miguel Martín-Landrove , Antonio Rueda-Toicen

Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) is an important tool for detecting subtle kinetic changes in cancerous tissue. Quantitative analysis of DCE-MRI typically involves the convolution of an arterial input function…

Applications · Statistics 2020-04-22 Volker J. Schmid , Brandon Whitcher , Anwar R. Padhani , Guang-Zhong Yang

Breast cancer is the most common malignant tumor among women and the second cause of cancer-related death. Early diagnosis in clinical practice is crucial for timely treatment and prognosis. Dynamic contrast-enhanced magnetic resonance…

Image and Video Processing · Electrical Eng. & Systems 2024-05-13 Zixian Li , Yuming Zhong , Yi Wang

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

Magnetic resonance imaging (MRI) is the most sensitive technique for breast cancer detection among current clinical imaging modalities. Contrast-enhanced MRI (CE-MRI) provides superior differentiation between tumors and invaded healthy…

Image and Video Processing · Electrical Eng. & Systems 2023-07-04 Tianyu Zhang , Luyi Han , Anna D'Angelo , Xin Wang , Yuan Gao , Chunyao Lu , Jonas Teuwen , Regina Beets-Tan , Tao Tan , Ritse Mann

Multi-contrast magnetic resonance imaging (MRI) is the most common management tool used to characterize neurological disorders based on brain tissue contrasts. However, acquiring high-resolution MRI scans is time-consuming and infeasible…

Image and Video Processing · Electrical Eng. & Systems 2023-06-08 Ye Mao , Lan Jiang , Xi Chen , Chao Li

Magnetic Resonance Imaging (MRI) is instrumental in clinical diagnosis, offering diverse contrasts that provide comprehensive diagnostic information. However, acquiring multiple MRI contrasts is often constrained by high costs, long…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Sanuwani Dayarathna , Kh Tohidul Islam , Bohan Zhuang , Guang Yang , Jianfei Cai , Meng Law , Zhaolin Chen

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

Non-mass enhancing lesions (NME) constitute a diagnostic challenge in dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) of the breast. Computer Aided Diagnosis (CAD) systems provide physicians with advanced tools for analysis,…

Image and Video Processing · Electrical Eng. & Systems 2018-09-27 Ignacio Alvarez Illan , Javier Ramirez , Juan M. Gorriz , Maria Adele Marino , Daly Avendaño , Thomas Helbich , Pascal Baltzer , Katja Pinker , Anke Meyer-Baese
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