PERFORM Publications

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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:	ARENA: Inter-modality affine registration using evolutionary strategy.
Authors:	Masoumi N, Xiao Y, Rivaz H
Link:	https://www.ncbi.nlm.nih.gov/pubmed/30535826?dopt=Abstract
DOI:	10.1007/s11548-018-1897-1
Publication:	International journal of computer assisted radiology and surgery
Keywords:	Affine Transformation; CMA-ES; Correlation ratio; Image registration; RESECT database; mTRE;
PMID:	30535826	Category:	Int J Comput Assist Radiol Surg	Date Added:	2019-04-15
Dept Affiliation:	PERFORM 1 PERFORM Centre, Concordia University, Montreal, Canada. n_masoum@encs.concordia.ca. 2 Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada. n_masoum@encs.concordia.ca. 3 Robarts Research Institute, Western University, London, Canada. 4 PERFORM Centre, Concordia University, Montreal, Canada. 5 Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada.

Description:

ARENA: Inter-modality affine registration using evolutionary strategy.

Int J Comput Assist Radiol Surg. 2019 Mar;14(3):441-450

Authors: Masoumi N, Xiao Y, Rivaz H

Abstract

PURPOSE: Image fusion of different imaging modalities renders valuable information to clinicians. In this paper, we proposed an automatic multimodal registration method to register intra-operative ultrasound images (US) to preoperative magnetic resonance images (MRI) in the context of image-guided neurosurgery.

METHODS: We employed refined correlation ratio as a similarity metric for our intensity-based image registration method. We deem MRI as the fixed image ([Formula: see text]) and US as the moving image ([Formula: see text]) and then transform [Formula: see text] to align with [Formula: see text]. We utilized the covariance matrix adaptation evolutionary strategy to find the optimal affine transformation in registration of [Formula: see text] to [Formula: see text].

RESULTS: We applied our method on the publicly available retrospective evaluation of cerebral tumors (RESECT) database and Montreal Neurological Institute's brain images of tumors for evaluation (BITE) database. We validated the results qualitatively and quantitatively. Qualitative validation is conducted (by the three authors) through overlaying pre- and post-registration US and MRI to allow visual assessment of the alignment. Quantitative validation is performed by utilizing the corresponding landmarks in the databases for the preoperative MRI and the intra-operative US. Average mean target registration error (mTRE) has been reduced from [Formula: see text] to [Formula: see text] in 22 patients in the RESECT database and from [Formula: see text] to [Formula: see text] in the BITE database. A nonparametric statistical analysis performed using the Wilcoxon rank sum test shows that there is a significant difference between pre- and post-registration mTREs with a p value of [Formula: see text] for the RESECT database and [Formula: see text] for the BITE database.

CONCLUSIONS: The proposed fully automatic registration method significantly improved the alignment of MRI and US images and can therefore be used to reduce the misalignment of US and MRI caused by brain shift, calibration errors, and patient to MRI transformation matrix.

PMID: 30535826 [PubMed - in process]

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