Results 101 to 110 of about 8,831 (260)

Fractal Anatomy of Human Organs: A Narrative Review of Structure, Function, and Clinical Perspectives

Clinical Anatomy, EarlyView.
ABSTRACT Fractal geometry describes complex, self‐similar patterns that repeat across spatial scales and is increasingly recognized as relevant in anatomical research. Indeed, the fractal organization is consistently observed in respiratory, cardiovascular, gastrointestinal, nervous, renal, hepatic, and dermatological systems.
Immacolata Belviso, Jacopo Junio Valerio Branca, Giulia Guarnieri, Annamaria Morelli, Alessandra Pacini, Daniele Della Posta, Domenico Ribatti, Ferdinando Paternostro   +7 more
wiley   +1 more source

Optimization of CEST MRI Reporter Protein Design Using Cation‐Pi Networks

Chemistry – A European Journal, EarlyView.
A novel engineering approach can produce reporter proteins for cell and viral therapy tracking with unique magnetic resonance imaging (MRI) signatures, detectable with chemical exchange saturation transfer (CEST). We discover how cation‐π interactions between amino acid groups can help us fine‐tune magnetic resonance properties for noninvasive ...
David E. Korenchan, Ethan J. French, Emerenziana Runco, Chetan B. Dhakan, Jinwu Yan, Hiroshi Nakashima, Michael T. McMahon, Assaf A. Gilad, Christian T. Farrar   +8 more
wiley   +1 more source

Lesions Associated With Autism Symptoms Map to a Cerebellar Brain Network in Tuberous Sclerosis Complex

Annals of the Child Neurology Society, EarlyView.
ABSTRACT Objective Autism spectrum disorder (ASD) affects 1 in 36 individuals in the United States and is characterized by impaired social communication and restrictive/repetitive behaviors. Individuals with tuberous sclerosis complex (TSC) have a high incidence of ASD (40%) and exhibit congenital brain lesions (tubers), offering a unique lesion‐based ...
Wendy Xiao Herman, Gillian N. Miller, Mustafa Sahin, Jurriaan M. Peters, Simon K. Warfield, Darcy A. Krueger, E. Martina Bebin, Hope Northrup, Joyce Y. Wu, Michael D. Fox, Alexander L. Cohen   +10 more
wiley   +1 more source

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

Deep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera, Bharadwaj Shukla, Dhruvikkumar Jogani   +2 more
wiley   +1 more source

Whole tissue imaging of cellular boundaries at sub‐micron resolutions for deep learning cell segmentation: Applications in the analysis of epithelial bending of ectoderm

Developmental Dynamics, EarlyView.
Abstract Background To understand cellular morphology, biologists have relied on traditional optical microscopy of tissues combined with tissue clearing protocols to image structures deep within tissues. Unfortunately, these protocols often struggle to retain cell boundary markers, especially at high enough resolutions necessary for precise cell ...
Sam C. P. Norris, Jimmy K. Hu, Neil H. Shubin   +2 more
wiley   +1 more source

Altered neurostructural development in magnetic resonance imaging‐negative pediatric epilepsy: A large‐scale multicenter study of 1919 children

Epilepsia, EarlyView.
Abstract Objective Addressing the poorly understood impact of pediatric epilepsy on neurodevelopment, this large‐scale study delineates age‐ and sex‐stratified neurostructural trajectories in magnetic resonance imaging (MRI)‐negative pediatric epilepsy to identify periods of maximal developmental divergence from healthy controls.
Yingfan Wang, Minghao Li, Huijun Li, Wei Yu, Peilin Jiang, Xinyi Zhou, Ke Hu, Feng Yang, Jiu Chen, Ming Yang, Xiaoshan Wang   +10 more
wiley   +1 more source

Distinguishing lung cancer from atypical tuberculosis: Deep transfer learning and imaging omics features

Journal of Intelligent Medicine, EarlyView.
The 3D‐ResNet model demonstrates superior discriminative power in differentiating lung cancer from atypical tuberculosis by leveraging deep omics features derived from volumetric lung cancer imaging, outperforming conventional clinical and radiomic analyses.
Yi Wu, Siyi Li, Zhiping Long, Yanjie Jia, Yue Yu, Bing Pei, Heli Yuan, Yuhua Hao, Zhiyun Jiang, Lei Cao, Kezheng Wang, Fan Wang   +11 more
wiley   +1 more source

T2‐Weighted T1 Mapping and Automated Segmentation of CSF: Assessment of Solute Gradients in the Healthy Brain

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Cerebrospinal fluid (CSF) serves as a medium for nutrient delivery and waste clearance. The T1 relaxation rate, R1, can be used to measure the concentration of intrinsic solutes and extrinsic contrast agents. Purpose To implement a method for R1 mapping and segmentation of CSF and to use this method to explore how R1 of CSF relates ...
Tryggve Holck Storås, Sofie Lysholm Lian, Ingrid Mossige, Jørgen Riseth, Siri Fløgstad Svensson, Grethe Løvland, Geir Ringstad, Kent‐André Mardal, Kyrre Eeg Emblem, Kaja Nordengen   +9 more
wiley   +1 more source

3D Automated Segmentation of Bronchial Abnormalities on Ultrashort Echo Time MRI: A Quantitative MR Outcome in Cystic Fibrosis

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Cystic fibrosis (CF) monitoring relies on computed tomography (CT), but ultra‐short echo time MRI (UTE‐MRI) offers a radiation‐free alternative. However, its clinical adoption is hindered by the laborious and subjective manual analysis, which prevents standardized quantification of bronchial abnormalities.
Amel Imene Hadj Bouzid, Ilyes Benlala, Baudouin Denis de Senneville, Fabien Baldacci, Julie Macey, Wadie Benhassen, Pan Su, Stephanie Bui, Maeva Zysman, Aurelien Bustin, Patrick Berger, Gael Dournes   +11 more
wiley   +1 more source

Enhancing Study Design and Analysis of MR Imaging Markers Through Measurement Error Modeling

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Measurement error in imaging reduces statistical power and potentially biases parameter estimation, compromising study reliability. Purpose To introduce a dual data collection design (reliability and main datasets) to quantify measurement error and apply regression calibration to correct error‐prone imaging markers, thereby ...
Xiaofeng Wang, Walter Zhao, Yifan Wang, Deborah H. Kwon, Ting‐Yu Su, Nancy A. Obuchowski, Mark A. Griswold, Zhong Irene Wang, Dan Ma   +8 more
wiley   +1 more source