A systematic review and identification of the challenges of deep learning techniques for undersampled magnetic resonance image reconstruction
Deep learning (DL) in magnetic resonance imaging (MRI) shows excellent performance in
image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI …
image reconstruction from undersampled k-space data. Artifact-free and high-quality MRI …
[HTML][HTML] Diffusion-weighted MRI of the liver: challenges and some solutions for the quantification of apparent diffusion coefficient and intravoxel incoherent motion
Diffusion-weighted imaging (DWI) is sensitive to the mobility of water molecule at cellular
and macromolecular level, much smaller than the spatial resolution of the images. It is …
and macromolecular level, much smaller than the spatial resolution of the images. It is …
[HTML][HTML] The use of MR-guided radiation therapy for head and neck cancer and recommended reporting guidance
BA McDonald, R Dal Bello, CD Fuller… - Seminars in radiation …, 2024 - Elsevier
Although magnetic resonance imaging (MRI) has become standard diagnostic workup for
head and neck malignancies and is currently recommended by most radiological societies …
head and neck malignancies and is currently recommended by most radiological societies …
Multiparametric MRI for characterization of the tumour microenvironment
E Hoffmann, M Masthoff, WG Kunz… - Nature Reviews …, 2024 - nature.com
Our understanding of tumour biology has evolved over the past decades and cancer is now
viewed as a complex ecosystem with interactions between various cellular and non-cellular …
viewed as a complex ecosystem with interactions between various cellular and non-cellular …
Imaging in rhabdomyosarcoma: a patient journey
ISA de Vries, R van Ewijk, LME Adriaansen, AE Bohte… - Pediatric …, 2023 - Springer
Rhabdomyosarcoma, although rare, is the most frequent soft tissue sarcoma in children and
adolescents. It can present as a mass at nearly any site in the body, with most common …
adolescents. It can present as a mass at nearly any site in the body, with most common …
The constantly evolving role of medical image processing in oncology: from traditional medical image processing to imaging biomarkers and radiomics
K Marias - Journal of imaging, 2021 - mdpi.com
The role of medical image computing in oncology is growing stronger, not least due to the
unprecedented advancement of computational AI techniques, providing a technological …
unprecedented advancement of computational AI techniques, providing a technological …
Targeting glioblastoma via selective alteration of mitochondrial redox state
Simple Summary Glioblastoma is characterized by a pronounced redox imbalance due to
elevated glycolytic and mitochondrial oxidative metabolism. New therapeutic strategies have …
elevated glycolytic and mitochondrial oxidative metabolism. New therapeutic strategies have …
Diffusion-weighted MRI of total hip arthroplasty for classification of synovial reactions: a pilot study
MA Gao, ET Tan, JP Neri, Q Li, AJ Burge… - Magnetic resonance …, 2023 - Elsevier
Background Conventional quantitative diffusion-weighted imaging (DWI) is sensitive to
changes in tissue microstructure, but its application to evaluating patients with orthopaedic …
changes in tissue microstructure, but its application to evaluating patients with orthopaedic …
Radiation in combination with immune checkpoint blockade and DNA damage response inhibitors in mice: dosage optimization in MC38 syngeneic tumors via …
Clinical trials assessing the impact of radiotherapy (RT) in combination with DNA damage
response pathway inhibitors (DDRis) and/or immune checkpoint blockade are currently …
response pathway inhibitors (DDRis) and/or immune checkpoint blockade are currently …
Apparent diffusion coefficient values effectively predict cell proliferation and determine oligodendroglioma grade
X Ke, J Zhao, X Liu, Q Zhou, W Cheng, P Zhang… - Neurosurgical …, 2023 - Springer
This study aims to evaluate the value of conventional magnetic resonance imaging (MRI)
features and apparent diffusion coefficient (ADC) values in differentiating oligodendroglioma …
features and apparent diffusion coefficient (ADC) values in differentiating oligodendroglioma …