Results 111 to 120 of about 15,597 (201)
Accelerating MRI With Longitudinally‐Informed Latent Posterior Sampling
Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3445-3461, June 2026.ABSTRACT Purpose To accelerate MRI acquisition by incorporating the previous scans of a subject during reconstruction. Although longitudinal imaging constitutes much of clinical MRI, leveraging previous scans is challenging due to the complex relationship between scan sessions, potentially involving substantial anatomical or pathological changes, and ...
Yonatan Urman +4 more
wiley +1 more source
Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3536-3549, June 2026.ABSTRACT Purpose First‐pass perfusion cardiovascular MR (FPP‐CMR) enables the non‐invasive diagnosis of microcirculation and coronary artery disease. In free‐breathing FPP‐CMR, motion correction is usually performed in the image domain, requiring an initial reconstruction.
Elisa Moya‐Sáez +10 more
wiley +1 more source
A Spatio‐Temporal Diffusion Model for Cardiac Real‐Time Imaging
Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3574-3583, June 2026.ABSTRACT Purpose Real‐time imaging of cardiac function is favorable due to shorter scan times and becomes necessary when arrhythmia or inability to hold breath leads to insufficient quality of electrocardiogram (ECG)‐gated Cartesian cine. However, comparable spatio‐temporal resolution can only be achieved in undersampled settings, which in turn demand ...
Oliver Schad +8 more
wiley +1 more source
Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Accurate color matching is essential to achieving aesthetically realistic outcomes in dental crown and bridge restorations. Traditional visual methods, however, are often affected by lighting variations and observer subjectivity. These limitations can lead to metamerism and inconsistent clinical outcomes.
Yujun Feng +5 more
wiley +1 more source
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen +3 more
wiley +1 more source
Diffusional magnetic resonance imaging anonymizing with variational autoencoder
Quantitative Biology, Volume 14, Issue 2, June 2026.Abstract Anonymization is a crucial de‐identification technique that protects data privacy while ensuring its utility for model building. Current generative models such as generative adversarial networks and variational auto‐encoders (VAEs) have been applied to medical image anonymization but mainly focus on general image features, lacking specificity ...
Yunheng Shen +4 more
wiley +1 more source
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2963-2979, May 2026.ABSTRACT Purpose To develop a self‐supervised scan‐specific deep learning framework for reconstructing accelerated multiparametric quantitative MRI (qMRI). Methods We propose REFINE‐MORE (REference‐Free Implicit NEural representation with MOdel REinforcement), combining an implicit neural representation (INR) architecture with a model reinforcement ...
Ruimin Feng +3 more
wiley +1 more source
High‐Resolution Diffusion‐Weighted Imaging With Self‐Gated Self‐Supervised Unrolled Reconstruction
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2852-2862, May 2026.ABSTRACT Purpose High‐resolution diffusion‐weighted imaging (DWI) is clinically demanding. The purpose of this work is to develop an efficient self‐supervised algorithm unrolling technique for submillimeter‐resolution DWI. Methods We developed submillimeter DWI acquisition utilizing multi‐band multi‐shot EPI with diffusion shift encoding.
Zhengguo Tan +4 more
wiley +1 more source
T2$$ {\boldsymbol{T}}_{\mathbf{2}} $$‐Weighted Imaging of Water, Fat and Silicone
Magnetic Resonance in Medicine, Volume 95, Issue 5, Page 2765-2775, May 2026.ABSTRACT Purpose Magnetic resonance imaging (MRI) is a sensitive method for assessing silicone implant integrity, with T2$$ {T}_2 $$‐weighted imaging being essential for detecting abnormalities in surrounding tissue. Silicone breast imaging protocols often require multiple tailored sequences for species suppression and diagnostic contrast. We propose a
Aizada Nurdinova +6 more
wiley +1 more source
Dual‐Branch Deep Neural Network for FLIM Parameter Estimation
Advanced Photonics Research, Volume 7, Issue 4, April 2026.A dual‐branch deep network combining an autoencoder and a CNN is developed for fit‐free estimation in FLIM data. The proposed model was shown to outperform fit‐based method and single‐branch CNN model of the same complexity. Fluorescence lifetime imaging microscopy (FLIM) is a powerful tool for studying molecular interactions and cellular ...
Mou Adhikari +6 more
wiley +1 more source