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Purpose: The standard clinical treatment of Twin-to-Twin Transfusion Syndrome consists in the photo-coagulation of undesired anastomoses located on the placenta which are responsible to a blood transfer between the two twins. While being…

Computer Vision and Pattern Recognition · Computer Science 2018-04-04 Loïc Peter , Marcel Tella-Amo , Dzhoshkun Ismail Shakir , George Attilakos , Ruwan Wimalasundera , Jan Deprest , Sébastien Ourselin , Tom Vercauteren

Monitoring maternal and fetal health during pregnancy is crucial for preventing adverse outcomes. While tests such as ultrasound scans offer high accuracy, they can be costly and inconvenient. Telehealth and more accessible body shape…

T2 mapping in fetal brain MRI has the potential to improve characterization of the developing brain, especially at mid-field (0.55T), where T2 decay is slower. However, this is challenging as fetal MRI acquisition relies on multiple…

CT perfusion imaging (CTP) is used in the diagnostic workup of acute ischemic stroke (AIS). CTP may be performed within the angio suite using flat detector CT (FDCT) to help reduce patient management time. In order to significantly improve…

Medical Physics · Physics 2022-04-21 Vojtěch Kulvait , Philip Hoelter , Robert Frysch , Hana Haseljić , Arnd Doerfler , Georg Rose

Pertussis booster vaccination produces immune responses that vary widely across individuals in both peak magnitude and long-term durability. These two phases are governed by partly distinct biological compartments:peak reflects acute B-cell…

Machine Learning · Computer Science 2026-05-14 Divya Sitani

We present a microstructure imaging technique for estimating compartment-specific T2 and T2* simultaneously in the human brain. Microstructure imaging with diffusion MRI (dMRI) has enabled the modelling of intra-neurite and extra-neurite…

Medical Physics · Physics 2024-08-21 Ting Gong , Merlin J. Fair , Kawin Setsompop , Hui Zhang

The success of embolisation, a minimally invasive treatment of liver cancer, could be evaluated in the operational room with cone-beam CT by acquiring a dynamic perfusion scan. The reconstruction algorithm must address the issues of low…

Modern deep learning methods have achieved impressive results across tasks from disease classification, estimating continuous biomarkers, to generating realistic medical images. Most of these approaches are trained to model conditional…

The paper deals with modeling the liver perfusion intended to improve quantitative analysis of the tissue scans provided by the contrast-enhanced computed tomography (CT). For this purpose, we developed a model of dynamic transport of the…

Computational Engineering, Finance, and Science · Computer Science 2018-08-01 Eduard Rohan , Vladimír Lukeš , Alena Jonášová

Accurate simulations of the flow in the human airway are essential for advancing diagnostic methods. Many existing computational studies rely on simplified geometries or turbulence models, limiting their simulation's ability to resolve flow…

Text-to-image models (T2I) offer a new level of flexibility by allowing users to guide the creative process through natural language. However, personalizing these models to align with user-provided visual concepts remains a challenging…

Computer Vision and Pattern Recognition · Computer Science 2024-06-06 Yoad Tewel , Rinon Gal , Gal Chechik , Yuval Atzmon

Quantifying muscle tissue properties is crucial for understanding pathophysiological changes occurring in skeletal muscle (SM). In particular, T2 relaxation and diffusion MRI (dMRI) are promising techniques. However, typical methods measure…

Diffusion functional MRI (dfMRI) is a promising technique to map functional activations by acquiring diffusion-weighed spin-echo images. In previous studies, dfMRI showed higher spatial accuracy at activation mapping compared to classic…

Medical Physics · Physics 2019-08-15 Alberto De Luca , Lara Schlaffke , Jeroen CW Siero , Martijn Froeling , Alexander Leemans

In the presented study, a numerical model which predicts the flow-induced collapse within the pharyngeal airway is validated using in vitro measurements. Theoretical simplifications were considered to limit the computation time. Systematic…

Medical Physics · Physics 2008-11-27 Franz Chouly , Annemie Van Hirtum , Pierre-Yves Lagrée , Xavier Pelorson , Yohan Payan

We report on an experimental measurement of the pulse front tilt (PFT) of spatiotemporally focused femtosecond laser pulses in the focal plane in both air and bulk transparent materials, which is achieved by examination of the interference…

Combining information from multi-view images is crucial to improve the performance and robustness of automated methods for disease diagnosis. However, due to the non-alignment characteristics of multi-view images, building correlation and…

Image and Video Processing · Electrical Eng. & Systems 2022-09-07 Di Liu , Yunhe Gao , Qilong Zhangli , Ligong Han , Xiaoxiao He , Zhaoyang Xia , Song Wen , Qi Chang , Zhennan Yan , Mu Zhou , Dimitris Metaxas

High-frequency focused ultrasound is widely used in biomedical applications such as high-resolution imaging, neuromodulation, particle manipulation, and so on. However, dynamic tuning of the focal plane in conventional systems often relies…

Applied Physics · Physics 2026-04-15 Shiyu Li , Yicheng Feng , Weiwei Cui , Zhixiong Gong

Pulse feeling, representing the tactile arterial palpation of the heartbeat, has been widely used in traditional Chinese medicine (TCM) to diagnose various diseases. The quantitative relationship between the pulse wave and health conditions…

Quantitative Methods · Quantitative Biology 2019-10-07 Jianhong Chen , Huang Huang , Wenrui Hao , Jinchao Xu

Reconstructing PDE-governed fields from sparse and irregular measurements is challenging due to their ill-posed nature. Deterministic surrogates are trained on dense fields that struggle with limited measurements and uncertainty…

Machine Learning · Computer Science 2026-05-18 Hao Zhou , Rui Zhang , Han Wan , Hao Sun

Fusion is critical for a two-stream network. In this paper, we propose a novel temporal fusion (TF) module to fuse the two-stream joints' information to predict human motion, including a temporal concatenation and a reinforcement trajectory…

Computer Vision and Pattern Recognition · Computer Science 2021-04-13 Jin Tang , Jin Zhang , Jianqin Yin