Results 181 to 190 of about 10,267 (252)
A deep learning‐enabled toolkit for the 3D segmentation of ventricular cardiomyocytes
Abstract figure legend 3D cardiomyocyte segmentation enables comprehensive analyses of myocardial microstructure in health and disease; however, it is technically demanding. We present an open‐source toolkit for this task, which reduces challenges associated with sample preparation, image restoration, segmentation and proofreading.
Joachim Greiner +6 more
wiley +1 more source
SMART: Speedy Measurement of Arabidopsis Rosette Traits
Abstract Most computer vision‐ and machine learning‐based plant phenotyping systems compute traits such as shape and size rather than the color distribution of the plant surface, even though color can provide important insights into plant physiology. Therefore, we developed Speedy Measurement of Arabidopsis Rosette Traits (SMART), an open‐source plant ...
Suxing Liu +5 more
wiley +1 more source
Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel +10 more
wiley +1 more source
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong +6 more
wiley +1 more source
Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz +5 more
wiley +1 more source
Dual‐scan conformal cone‐beam CT for targeted image‐quality improvement using dynamic collimation
Abstract Background Cone‐beam computed tomography (CBCT) is routinely used for image guidance in radiation therapy, but conventional full‐field CBCT acquisition may expose anatomically irrelevant regions and generate substantial scatter, which degrades soft‐tissue contrast and limits the accuracy of target localization and adaptive radiotherapy ...
Yuxiang Liu +3 more
wiley +1 more source
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour +3 more
wiley +1 more source
ABSTRACT Purpose To improve accuracy and repeatability of myocardial 23Na quantification in cardiac MRI at 7 T by combining retrospective respiratory and cardiac motion correction with a novel anatomy‐based B1 bias field correction. Methods In this study, a dual‐nuclear interleaved 23Na/1H MRI sequence at 7 T was applied.
Laurent Ruck +10 more
wiley +1 more source
Abstract Paganin's method for image reconstruction in propagation‐based phase‐contrast X‐ray imaging and tomography has enjoyed broad acceptance in recent years, with over one thousand publications citing its use. The present paper discusses approaches to optimisation of the method with respect to simple image quality metrics, such as signal‐to‐noise ...
Timur E. Gureyev +3 more
wiley +1 more source
Dynamic Holographic Display With Multiplexed Dielectric Metasurfaces
Based on multiplexed metasurfaces, we show hybrid multiplexing of polarization, wavelength, and orbital angular momentum can be applied for dynamic tuning. Our strategy presents a highly compact and efficient solution for high‐capacity, multi‐dimensional holography, with promising applications in advanced displays, data storage, optical encryption, and
Yu Liu +8 more
wiley +1 more source

