PERFORM Publications

Keyword search (4,164 papers available)

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:	REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries.
Authors:	Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I
Link:	https://www.ncbi.nlm.nih.gov/pubmed/28391601?dopt=Abstract
DOI:	10.1002/mp.12268
Publication:	Medical physics
Keywords:	MRI; brain tumor; database; intra-operative ultrasound; low-grade glioma; registration;
PMID:	28391601	Category:	Med Phys	Date Added:	2019-04-15
Dept Affiliation:	PERFORM 1 PERFORM Centre, Concordia University, Montreal, H4B 1R6, Canada. 2 Department of Electrical and Computer Engineering, Concordia University, Montreal, H3G 1M8, Canada. 3 Department of Neurosurgery, St. Olavs University Hospital, Trondheim, NO-7006, Norway. 4 Department of Neuroscience, Norwegian University of Science and Technology, Trondheim, NO-7491, Norway. 5 Norwegian National Advisory Unit for Ultrasound and Image Guided Therapy, St. Olavs University Hospital, Trondheim, NO-7006, Norway. 6 Department of Medical Technology, SINTEF, Trondheim, NO-7465, Norway.

Description:

REtroSpective Evaluation of Cerebral Tumors (RESECT): A clinical database of pre-operative MRI and intra-operative ultrasound in low-grade glioma surgeries.

Med Phys. 2017 Jul;44(7):3875-3882

Authors: Xiao Y, Fortin M, Unsgård G, Rivaz H, Reinertsen I

Abstract

PURPOSE: The advancement of medical image processing techniques, such as image registration, can effectively help improve the accuracy and efficiency of brain tumor surgeries. However, it is often challenging to validate these techniques with real clinical data due to the rarity of such publicly available repositories.

ACQUISITION AND VALIDATION METHODS: Pre-operative magnetic resonance images (MRI), and intra-operative ultrasound (US) scans were acquired from 23 patients with low-grade gliomas who underwent surgeries at St. Olavs University Hospital between 2011 and 2016. Each patient was scanned by Gadolinium-enhanced T1w and T2-FLAIR MRI protocols to reveal the anatomy and pathology, and series of B-mode ultrasound images were obtained before, during, and after tumor resection to track the surgical progress and tissue deformation. Retrospectively, corresponding anatomical landmarks were identified across US images of different surgical stages, and between MRI and US, and can be used to validate image registration algorithms. Quality of landmark identification was assessed with intra- and inter-rater variability.

DATA FORMAT AND ACCESS: In addition to co-registered MRIs, each series of US scans are provided as a reconstructed 3D volume. All images are accessible in MINC2 and NIFTI formats, and the anatomical landmarks were annotated in MNI tag files. Both the imaging data and the corresponding landmarks are available online as the RESECT database at https://archive.norstore.no (search for "RESECT").

POTENTIAL IMPACT: The proposed database provides real high-quality multi-modal clinical data to validate and compare image registration algorithms that can potentially benefit the accuracy and efficiency of brain tumor resection. Furthermore, the database can also be used to test other image processing methods and neuro-navigation software platforms.

PMID: 28391601 [PubMed - indexed for MEDLINE]

BookR: School of Health Core Facilities Booking

"GIS" Keyword-tagged Publications:

Search Publications

No results