Keyword search (4,163 papers available)

"Registration" 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 database of magnetic resonance imaging-transcranial ultrasound co-registration Alizadeh M; Collins DL; Kersten-Oertel M; Xiao Y; 39920905
SOH
3 Data-Weighted Multivariate Generalized Gaussian Mixture Model: Application to Point Cloud Robust Registration Ge B; Najar F; Bouguila N; 37754943
ENCS
4 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
5 DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR Masoumi N; Rivaz H; Ahmad MO; Xiao Y; 36173541
ENCS
6 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
7 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
8 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
9 Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Xiao Y, Eikenes L, Reinertsen I, Rivaz H 29299739
PERFORM
10 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
11 ARENA: Inter-modality affine registration using evolutionary strategy. Masoumi N, Xiao Y, Rivaz H 30535826
PERFORM
12 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]





BookR developed by Sriram Narayanan
for the Concordia University School of Health
Copyright © 2011-2026
Cookie settings
Concordia University