Keyword search (4,164 papers available)

"GIS" Keyword-tagged Publications:

Title Authors PubMed ID
1 Statistical shape model-based estimation of registration error in computer-assisted total knee arthroplasty Gheflati B; Mirzaei M; Zuhars J; Rottoo S; Rivaz H; 41495592
ENCS
2 A synergistic approach to rapid stabilization and immobilization of crude oil-contaminated clayey sand using calcium chloride and sodium silicate Rajaei E; Elektorowicz M; Baker MB; 41391286
ENCS
3 Exploring neurologists perspectives: barriers and facilitators in implementing cognitive care planning Ge S; Xiao X; Huang B; Britt KC; 41163714
CONCORDIA
4 Enhancing nutrition education resources through the development and refinement of a checklist using the suitability assessment of materials (SAM) Sage O; Wang F; DiAngelo C; Marsden S; Faustini C; Grant S; Cohen TR; 40820296
MATHSTATS
5 Evolution from the physical process-based approaches to machine learning approaches to predicting urban floods: a literature review Md Shike Bin Mazid Anik 40692624
ENCS
6 A database of magnetic resonance imaging-transcranial ultrasound co-registration Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y; 39920905
SOH
7 Understanding Fluconazole Tolerance in Candida albicans: Implications for Effective Treatment of Candidiasis and Combating Invasive Fungal Infections Feng Y; Lu H; Whiteway M; Jiang Y; 37918789
BIOLOGY
8 Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration Ge B; Najar F; Bouguila N; 37754943
ENCS
9 Negotiating Experiences of Belonging Alongside Age-Related Life Transitions Fortune D; Weisgarber B; 37518953
CONCORDIA
10 Understanding National Nonprofit Data Environments Bloodgood EA; Bourns J; Lenczner M; Shibaike T; Tabet J; Melvin A; Wong WH; 36974198
CONCORDIA
11 Double-Bind of Recruitment of Older Adults Into Studies of Successful Aging via Assistive Information and Communication Technologies: Mapping Review Khalili-Mahani N; Sawchuk K; 36563033
CONCORDIA
12 Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection Pirhadi A; Salari S; Ahmad MO; Rivaz H; Xiao Y; 36306056
PERFORM
13 DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR Masoumi N; Rivaz H; Ahmad MO; Xiao Y; 36173541
ENCS
14 Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast Feng Q; An C; Chen Z; Owens E; Niu H; Wang Z; 34271360
ENCS
15 Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms Masoumi N; Belasso CJ; Ahmad MO; Benali H; Xiao Y; Rivaz H; 33683544
PERFORM
16 Candida albicans targets that potentially synergize with fluconazole. Lu H, Shrivastava M, Whiteway M, Jiang Y 33587857
BIOLOGY
17 Expression of catalytically efficient xylanases from thermophilic fungus Malbranchea cinnamomea for synergistically enhancing hydrolysis of lignocellulosics. Basotra N, Joshi S, Satyanarayana T, Pati PK, Tsang A, Chadha BS 29174359
CSFG
18 REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries. Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I 28391601
PERFORM
19 A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort. Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL 28491942
PERFORM
20 Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Xiao Y, Eikenes L, Reinertsen I, Rivaz H 29299739
PERFORM
21 Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases. Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL 29392162
PERFORM
22 ARENA: Inter-modality affine registration using evolutionary strategy. Masoumi N, Xiao Y, Rivaz H 30535826
PERFORM
23 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
PERFORM

 

Title:A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson׳s disease cohort.
Authors:Xiao YFonov VChakravarty MMBeriault SAl Subaie FSadikot APike GBBertrand GCollins DL
Link:https://www.ncbi.nlm.nih.gov/pubmed/28491942?dopt=Abstract
DOI:10.1016/j.dib.2017.04.013
Publication:Data in brief
Keywords:AtlasBasal gangliaBrainHistologyMRIMulti-contrastParkinson׳s diseaseRegistrationSegmentationT2*
PMID:28491942 Category:Data Brief Date Added:2019-04-15
Dept Affiliation: PERFORM
1 PERFORM Centre, Concordia University, Montreal, Canada.
2 McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
3 Douglas Hospital Mental Health University Institute, McGill University, Montreal, Canada.
4 Division of Neurosurgery, McGill University, Montreal, Canada.
5 Department of Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Canada.

Description:

A dataset of multi-contrast population-averaged brain MRI atlases of a Parkinson?s disease cohort.

Data Brief. 2017 Jun;12:370-379

Authors: Xiao Y, Fonov V, Chakravarty MM, Beriault S, Al Subaie F, Sadikot A, Pike GB, Bertrand G, Collins DL

Abstract

Parkinson?s disease (PD) is a neurodegenerative disease that primarily affects the motor functions of the patients. Research and surgical treatment of PD (e.g., deep brain stimulation) often require human brain atlases for structural identification or as references for anatomical normalization. However, two pitfalls exist for many current atlases used for PD. First, most atlases do not represent the disease-specific anatomy as they are based on healthy young subjects. Second, subcortical structures, such as the subthalamic nucleus (STN) used in deep brain stimulation procedures, are often not well visualized. The dataset described in this Data in Brief is a population-averaged atlas that was made with 3 T MRI scans of 25 PD patients, and contains 5 image contrasts: T1w (FLASH & MPRAGE), T2*w, T1-T2* fusion, phase, and an R2* map. While the T1w, T2*w, and T1-T2* fusion templates provide excellent anatomical details for both cortical and sub-cortical structures, the phase and R2* map contain bio-chemical features. Probabilistic tissue maps of whiter matter, grey matter, and cerebrospinal fluid are provided for the atlas. We also manually segmented eight subcortical structures: caudate nucleus, putamen, globus pallidus internus and externus (GPi & GPe), thalamus, STN, substantia nigra (SN), and the red nucleus (RN). Lastly, a co-registered histology-derived digitized atlas containing 123 anatomical structures is included. The dataset is made freely available at the MNI data repository accessible through the link http://nist.mni.mcgill.ca/?p=1209.

PMID: 28491942 [PubMed]





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