| Keyword search (3,619 papers available) | |
Author(s): Tam BT; Wan K; Santosa S; Cai Z;
With over 420 million children (aged 0-19 years) worldwide living with overweight or obesity, the "obesity epidemic" or "globesity" is a defining public health challenge of this generation. While significant efforts have been made to address...
Article GUID: 39991475
Author(s): Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y;
Purpose: As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility and potential utility in various clinical diagnostic applications, inc...
Article GUID: 39920905
Author(s): Costa DN; Santosa S; Jensen MD;
Adult males and females have markedly different body composition, energy expenditure, and have different degrees of risk for metabolic diseases. A major aspect of metabolic regulation involves the appropriate storage and disposal of glucose and fatty acids....
Article GUID: 39869194
Author(s): Ali OBK; Vidal A; Grova C; Benali H;
Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles ...
Article GUID: 39804928
Author(s): Alasmar Z; Chakravarty MM; Penhune VB; Steele CJ;
The cortex and cerebellum are densely connected through reciprocal input/output projections that form segregated circuits. These circuits are shown to differentially connect anterior lobules of the cerebellum to sensorimotor regions, and lobules Crus I and ...
Article GUID: 39791308
Author(s): Sforza M; Morin CM; Dang-Vu TT; Pomares FB; Perrault AA; Gouin JP; Bušková J; Janku K; Vgontzas A; Fernandez-Mendoza J; Bastien CH; Riemann ...
Investigating the mechanisms of action of cognitive-behavioural therapy for insomnia (CBT-I), the first-line treatment for chronic insomnia disorder (ID), can contribute to the overall understandin...
Article GUID: 39739397
Author(s): Hrtonova V; Nejedly P; Travnicek V; Cimbalnik J; Matouskova B; Pail M; Peter-Derex L; Grova C; Gotman J; Halamek J; Jurak P; Brazdil M; Klim...
Introduction: Precise localization of the epileptogenic zone is critical for successful epilepsy surgery. However, imbalanced datasets in terms of epileptic vs. normal electrode contacts and a lack...
Article GUID: 39608298
Author(s): Infantino E; Barnett TA; Côté-Lussier C; Van Hulst A; Henderson M; Mathieu ME; Sabiston C; Kakinami L;...
Background: Physical characteristics and perceptions of an environment can have enduring effects on one's mental health. The present study aimed to determine whether a set of measures of neighb...
Article GUID: 39604905
Author(s): Wolfe D; Dover G; Boily M; Fortin M;
Background/objectives: Individuals with chronic low back pain (CLBP) have altered lumbar multifidus stiffness properties compared to healthy controls. Although neuromuscular electrical stimulation (NMES) application to the multifidus might affect stiffness,...
Article GUID: 39594260
| Title: | A database of magnetic resonance imaging-transcranial ultrasound co-registration |
| Authors: | Alizadeh M, Collins DL, Kersten-Oertel M, Xiao Y, |
| Link: | https://pubmed.ncbi.nlm.nih.gov/39920905/ |
| DOI: | 10.1002/mp.17666 |
| Category: | |
| PMID: | 39920905 |
| Dept Affiliation: | SOH
1 Department of Computer Science and Software Engineering, Concordia University, Montreal, Canada. 2 McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada. 3 Department of Biomedical Engineering, McGill University, Montreal, Canada. 4 Department of Neurology and Neurosurgery, McGill University, Montreal, Canada. 5 School of Health, Concordia University, Montreal, Canada. |
Description: |
Purpose: As a portable and cost-effective imaging modality with better accessibility than Magnetic Resonance Imaging (MRI), transcranial sonography (TCS) has demonstrated its flexibility and potential utility in various clinical diagnostic applications, including Parkinson's disease and cerebrovascular conditions. To better understand the information in TCS for data analysis and acquisition, MRI can provide guidance for efficient imaging with neuronavigation systems and the confirmation of disease-related abnormality. In these cases, MRI-TCS co-registration is crucial, but relevant public databases are scarce to help develop the related algorithms and software systems. Acquisition and validation methods: This dataset comprises manually registered MRI and transcranial ultrasound volumes from eight healthy subjects. Three raters manually registered each subject's scans, based on visual inspection of image feature correspondence. Average transformation matrices were computed from all raters' alignments for each subject. Inter- and intra-rater variability in the transformations conducted by raters are presented to validate the accuracy and consistency of manual registration. In addition, a population-averaged MRI brain vascular atlas is provided to facilitate the development of computer-assisted TCS acquisition software. Data format and usage notes: The dataset is provided in both NIFTI and MINC formats and is publicly available on the OSF data repository: https://osf.io/zdcjb/. Potential applications: This dataset provides the first public resource for the development and assessment of MRI-TCS registration with manual ground truths, as well as resources for establishing neuronavigation software in data acquisition and analysis of TCS. These technical advancements could greatly boost TCS as an imaging tool for clinical applications in the diagnosis of neurological conditions such as Parkinson's disease and cerebrovascular disorders. |
