The road toward reproducibility of parametric mapping of the heart: a technical review

AC Ogier, A Bustin, H Cochet, J Schwitter… - Frontiers in …, 2022 - frontiersin.org
Parametric mapping of the heart has become an essential part of many cardiovascular
magnetic resonance imaging exams, and is used for tissue characterization and diagnosis …

A Review on the Use of Imaging Biomarkers in Oncology Clinical Trials: Quality Assurance Strategies for Technical Validation

S Chauvie, LN Mazzoni, J O'Doherty - Tomography, 2023 - mdpi.com
Imaging biomarkers (IBs) have been proposed in medical literature that exploit images in a
quantitative way, going beyond the visual assessment by an imaging physician. These IBs …

Development and multicenter validation of a multiparametric imaging model to predict treatment response in rectal cancer

NW Schurink, SR van Kranen, JJM van Griethuysen… - European …, 2023 - Springer
Objectives To develop and validate a multiparametric model to predict neoadjuvant
treatment response in rectal cancer at baseline using a heterogeneous multicenter MRI …

MRSaiFE: an AI-based approach towards the real-time prediction of specific absorption rate

S Gokyar, FJL Robb, W Kainz, A Chaudhari… - IEEE …, 2021 - ieeexplore.ieee.org
The purpose of this study is to investigate feasibility of estimating the specific absorption rate
(SAR) in MRI in real time. To this goal, SAR maps are predicted from 3T-and 7T-simulated …

Delivering a quantitative imaging agenda

NM deSouza, A van der Lugt, TJ Hall, D Sullivan… - Cancers, 2023 - mdpi.com
In a digital image, each voxel contains quantitative information dependent on the technique
used to generate the image. For example, the progression from plain film X-ray techniques …

Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities

F Khalid, J Goya-Outi, T Escobar… - Frontiers in …, 2023 - frontiersin.org
Purpose Predicting H3. 1, TP53, and ACVR1 mutations in DIPG could aid in the selection of
therapeutic options. The contribution of clinical data and multi-modal MRI were studied for …

Assessing the Feasibility of Using Artificial Intelligence–Segmented Dominant Intraprostatic Lesion for Focal Intraprostatic Boost With External Beam Radiation …

JMG Tsui, CE Kehayias, JE Leeman, PL Nguyen… - International Journal of …, 2024 - Elsevier
Purpose The delineation of dominant intraprostatic gross tumor volumes (GTVs) on
multiparametric magnetic resonance imaging (mpMRI) can be subject to interobserver …

Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer

MK Halle, E Hodneland, KS Wagner-Larsen… - Scientific Reports, 2024 - nature.com
Cervical cancer (CC) is a major global health problem with 570,000 new cases and 266,000
deaths annually. Prognosis is poor for advanced stage disease, and few effective treatments …

Deep learning-based detection and identification of brain tumor biomarkers in quantitative MR-images

IE Tampu, N Haj-Hosseini, I Blystad… - … Learning: Science and …, 2023 - iopscience.iop.org
The infiltrative nature of malignant gliomas results in active tumor spreading into the
peritumoral edema, which is not visible in conventional magnetic resonance imaging (cMRI) …

Color-map recommendation for MR relaxometry maps

M Fuderer, B Wichtmann, F Crameri… - arXiv preprint arXiv …, 2024 - arxiv.org
Purpose: To harmonize the use of color for MR relaxometry maps and therefore recommend
the use of specific color-maps for representing T1 and T2 maps. Methods: Perceptually …