Dr. Simon Duchesne Profile

Dr. Simon Duchesne

Researcher/Associate Professor at Univ Laval Robert-Giffard

SPIE Involvement:

Author

Proceedings Article | 3 March 2009 Paper

Quantitative evaluation of Alzheimer's disease

S. Duchesne, G. B. Frisoni

Proceedings Volume 7260, 726013 (2009) https://doi.org/10.1117/12.810804

KEYWORDS: Magnetic resonance imaging, Alzheimer's disease, Data modeling, Scanners, Factor analysis, Intercontinental ballistic missiles, Feature selection, Raster graphics, Principal component analysis, In vivo imaging

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Proceedings Article | 31 March 2008 Paper

Preoperative brain shift: study of three surgical cases

O. El Ganaoui, X. Morandi, S. Duchesne, P. Jannin

Proceedings Volume 6918, 691818 (2008) https://doi.org/10.1117/12.772634

KEYWORDS: Tumors, Brain, Image segmentation, Surface plasmons, Image registration, Neuroimaging, Brain mapping, Visualization, Imaging systems, Tissues

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In successful brain tumor surgery, the neurosurgeon's objectives are threefold: (1) reach the target, (2) remove it and (3) preserve eloquent tissue surrounding it. Surgical Planning (SP) consists in identifying optimal access route(s) to the target based on anatomical references and constrained by functional areas. Preoperative images are essential input in Multi-modal Image Guided NeuroSurgery systems (MIGNS) and update of these images, with precision and accuracy, is crucial to approach the anatomical reality in the Operating Room (OR). Intraoperative brain deformation has been previously identified by many research groups and related update of preoperative images has also been studied. We present a study of three surgical cases with tumors accompanied with edema and where corticosteroids were administered and monitored during a preoperative stage [t₀, t₁ = t₀ + 10 days]. In each case we observed a significant change in the Region Of Interest (ROI) and in anatomical references around it. This preoperative brain shift could induce error for localization during intervention (time t_S) if the SP is based on the t₀ preoperative images. We computed volume variation, distance maps based on closest point (CP) for different components of the ROI, and displacement of center of mass (CM) of the ROI. The matching between sets of homologous landmarks from t₀ to t₁ was performed by an expert. The estimation of the landmarks displacement showed significant deformations around the ROI (landmarks shifted with mean of 3.90 ± 0.92 mm and maximum of 5.45 mm for one case resection). The CM of the ROI moved about 6.92 mm for one biopsy. Accordingly, there was a sizable difference between SP based at t₀ vs SP based at t₁, up to 7.95 mm for localization of reference access in one resection case. When compared to the typical MIGNS system accuracy (2 mm), it is recommended that preoperative images be updated within the interval time [t₁,t_S] in order to minimize the error correspondence between the anatomical reality and the preoperative data. This should help maximize the accuracy of registration between the preoperative images and the patient in the OR.

Proceedings Article | 29 March 2007 Paper

Computer-aided differential diagnosis in movement disorders using MRI morphometry

S. Duchesne, Y. Roland, M. Verin, C. Barillot

Proceedings Volume 6514, 65140X (2007) https://doi.org/10.1117/12.710841

KEYWORDS: Tissues, Magnetic resonance imaging, Computer aided diagnosis and therapy, Diagnostics, Feature extraction, Data modeling, Brain, Image processing, Pathology, Biological research

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Conference Committee Involvement (3)

Computer-Aided Diagnosis

10 February 2009 | Lake Buena Vista (Orlando Area), Florida, United States

Computer-Aided Diagnosis

19 February 2008 | San Diego, California, United States

Computer-Aided Diagnosis

20 February 2007 | San Diego, CA, United States

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