Results 81 to 90 of about 15,597 (201)

Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping

Magnetic Resonance in Medicine, EarlyView.
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, Jens Wetzl, Daniel Giese, Christoph Tillmanns, Rolf Gebker, Kelvin Chow, Michaela Schmidt, Andreas Lingg, Jens Kübler, Patrick Krumm, Thomas Küstner   +10 more
wiley   +1 more source

Subjective and Objective Quality Assessment of Image: A Survey

Majlesi Journal of Electrical Engineering
With the increasing demand for image-based applications, the efficient and reliable evaluation of image quality has increased in importance. Measuring the image quality is of fundamental importance for numerous image processing applications, where the ...
Pedram Mohammadi, Abbas Ebrahimi-Moghadam, Shahram Shirani   +2 more
doaj  

A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement

IEEE Access
Digital preservation to preserve information in ancient manuscripts is often not optimal because of the object’s condition, which has degraded over time.
Imam Yuadi, Novanto Yudistira, Habiddin Habiddin, Khoirun Nisa'   +3 more
doaj   +1 more source

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Magnetic Resonance in Medicine, EarlyView.
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, Yang Gao, Feng Liu, Derek Emery, Ken Butcher, Alan H. Wilman, Hongfu Sun   +6 more
wiley   +1 more source

The Consequences of Dimension Reduction for Open Graded Friction Course (OGFC) Asphalt Mixtures: Morphological Characteristics and Finite Element Model (FEM) Simulation

Buildings
Asphalt mixtures exhibit complex mechanical behaviors due to their multiphase internal structures. To provide better characterizations of asphalt pavements under various forms of potential distress, a two-dimensional (2D) finite element simulation based ...
Kai Li, Quan Liu, Yuan Tian, Cong Du, Zhixiang Xu   +4 more
doaj   +1 more source

Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI

Magnetic Resonance in Medicine, EarlyView.
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, Bilal Tasdelen, Ibrahim K. Ozaslan, Mihailo R. Jovanovic, Ye Tian, Krishna S. Nayak   +5 more
wiley   +1 more source

Denoising on Textured Image Using Total Generalized Variation With Overlapping Group Sparsity Based on Fast Split Bregman Method

IEEE Access
The Total Generalized Variation (TGV) model proves effective in removing texture and background patterns in natural images while suppressing the staircase effect introduced by traditional Total Variation (TV) regularization. Nevertheless, TGV falls short
Cheng Zhang, Kin Sam Yen
doaj   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Real-Time Enhancement of Low-Light Images Using Generative Adversarial Networks (GANs)

Journal of Technology Informatics and Engineering
Low-light image enhancement plays a crucial role in fields such as surveillance, photography, and medical imaging, where inadequate lighting significantly reduces image quality, leading to loss of detail and increased noise.
Feng Zhou, Ying Qiao, Quanmin Li
doaj   +1 more source

Exploratory Analysis of Sustainable Consumption and Production Factors in Services: Insights From Four Case Studies Using Interpretive Structural Modeling

Sustainable Development, EarlyView.
ABSTRACT This study investigates how 14 sustainable consumption and production (SCP) factors interact across four service categories—Mass Service, Professional Service, Service Factory, and Service Shop—using interpretive structural modeling (ISM). ISM enables the identification and hierarchical classification of interdependencies among SCP factors in ...
Amanda Duarte Feitosa, Fagner José Coutinho de Melo, André Philippi Gonzaga de Albuquerque, Naia Antunis de Rezende, Denise Dumke de Medeiros   +4 more
wiley   +1 more source