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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…

Image and Video Processing · Electrical Eng. & Systems 2024-09-04 Zach Eidex , Mojtaba Safari , Richard L. J. Qiu , David S. Yu , Hui-Kuo Shu , Hui Mao , Xiaofeng Yang

Contrast enhancement by Gadolinium-based contrast agents (GBCAs) is a vital tool for tumor diagnosis in neuroradiology. Based on brain MRI scans of glioblastoma before and after Gadolinium administration, we address enhancement prediction…

Image and Video Processing · Electrical Eng. & Systems 2024-10-14 Moritz Piening , Fabian Altekrüger , Gabriele Steidl , Elke Hattingen , Eike Steidl

\textit{Objective:} Gadolinium-based contrast agents (GBCAs) have been widely used to better visualize disease in brain magnetic resonance imaging (MRI). However, gadolinium deposition within the brain and body has raised safety concerns…

Image and Video Processing · Electrical Eng. & Systems 2022-07-19 Chao Chen , Catalina Raymond , Bill Speier , Xinyu Jin , Timothy F. Cloughesy , Dieter Enzmann , Benjamin M. Ellingson , Corey W. Arnold

The aim of the systematic review was to assess recently published studies on diagnostic test accuracy of glioblastoma treatment response monitoring biomarkers in adults, developed through machine learning (ML). Articles were searched for…

Gadolinium-based contrast agents (GBCAs) are widely used in magnetic resonance imaging (MRI) to enhance lesion detection and characterisation, particularly in the field of neuro-oncology. Nevertheless, concerns regarding gadolinium…

Image and Video Processing · Electrical Eng. & Systems 2025-10-03 Pierre Fayolle , Alexandre Bône , Noëlie Debs , Philippe Robert , Pascal Bourdon , Remy Guillevin , David Helbert

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…

Computer Vision and Pattern Recognition · Computer Science 2025-09-30 Zach Eidex , Mojtaba Safari , Jie Ding , Richard Qiu , Justin Roper , David Yu , Hui-Kuo Shu , Zhen Tian , Hui Mao , Xiaofeng Yang

Background: This research aims to improve glioblastoma survival prediction by integrating MR images, clinical and molecular-pathologic data in a transformer-based deep learning model, addressing data heterogeneity and performance…

Deep learning (DL) based contrast dose reduction and elimination in MRI imaging is gaining traction, given the detrimental effects of Gadolinium-based Contrast Agents (GBCAs). These DL algorithms are however limited by the availability of…

Image and Video Processing · Electrical Eng. & Systems 2023-07-25 Dayang Wang , Srivathsa Pasumarthi , Greg Zaharchuk , Ryan Chamberlain

Recently, deep learning (DL)-based methods have been proposed for the computational reduction of gadolinium-based contrast agents (GBCAs) to mitigate adverse side effects while preserving diagnostic value. Currently, the two main challenges…

Differentiating true tumor progression (TP) from treatment-related pseudoprogression (PsP) in glioblastoma remains challenging, especially at early follow-up. We present the first stage-specific, cross-sectional benchmarking of deep…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 Wenhao Guo , Golrokh Mirzaei

Contrast-enhanced magnetic resonance imaging (CE-MRI) is crucial for tumor detection and diagnosis, but the use of gadolinium-based contrast agents (GBCAs) in clinical settings raises safety concerns due to potential health risks. To…

Image and Video Processing · Electrical Eng. & Systems 2025-03-04 Linhao Li , Changhui Su , Yu Guo , Huimao Zhang , Dong Liang , Kun Shang

Glioma, a prevalent and heterogeneous tumor originating from the glial cells, can be differentiated as Low Grade Glioma (LGG) and High Grade Glioma (HGG) according to World Health Organization's norms. Classifying gliomas is essential for…

Computer Vision and Pattern Recognition · Computer Science 2025-03-03 Kiranmayee Janardhan , Christy Bobby Thomas

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

Multimodal deep learning has improved prognostic accuracy for brain tumours by integrating histopathology and genomic data, yet the contribution of volumetric MRI within unified survival frameworks remains unexplored. This pilot study…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Iain Swift , JingHua Ye

Multi-contrast magnetic resonance imaging (MRI)-based automatic auxiliary glioma diagnosis plays an important role in the clinic. Contrast-enhanced MRI sequences (e.g., contrast-enhanced T1-weighted imaging) were utilized in most of the…

Image and Video Processing · Electrical Eng. & Systems 2022-11-16 Yeqi Wang , Weijian Huang , Cheng Li , Xiawu Zheng , Yusong Lin , Shanshan Wang

Today Gadolinium-based contrast agents (GBCA) are indispensable in Magnetic Resonance Imaging (MRI) for diagnosing various diseases. However, GBCAs are expensive and may accumulate in patients with potential side effects, thus…

Image and Video Processing · Electrical Eng. & Systems 2023-06-27 Thomas Pinetz , Erich Kobler , Robert Haase , Katerina Deike-Hofmann , Alexander Radbruch , Alexander Effland

Glioblastoma (GBM) is one of the most aggressive and lethal human cancers. Intra-tumoral genetic heterogeneity poses a significant challenge for treatment. Biopsy is invasive, which motivates the development of non-invasive, MRI-based…

Magnetic resonance imaging (MRI) provides varying tissue contrast images of internal organs based on a strong magnetic field. Despite the non-invasive advantage of MRI in frequent imaging, the low contrast MR images in the target area make…

Image and Video Processing · Electrical Eng. & Systems 2020-06-11 Mohammad Hamghalam , Baiying Lei , Tianfu Wang

Glioblastoma Multiforme (GBM) is a malignant brain cancer forming around 48% of al brain and Central Nervous System (CNS) cancers. It is estimated that annually over 13,000 deaths occur in the US due to GBM, making it crucial to have early…

Image and Video Processing · Electrical Eng. & Systems 2022-01-28 Sauman Das

Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely used for the preliminary screening of gliomas and plays a crucial role in auxiliary diagnosis, therapeutic efficacy, and prognostic…

Image and Video Processing · Electrical Eng. & Systems 2025-05-27 Yihao Liu , Zhihao Cui , Liming Li , Junjie You , Xinle Feng , Jianxin Wang , Xiangyu Wang , Qing Liu , Minghua Wu
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