Simon Lessard
Université de Montréal
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Simon Lessard.
Journal of Medical Devices-transactions of The Asme | 2007
Simon Lessard; Pascal Bigras; Ilian A. Bonev
The preoperative procedure for treating peripheral arterial disease requires 3D mapping of the blood vessel of interest. Because the available technologies are costly and invasive, and have an iodizing effect, new 3D imaging systems are being developed from ultrasound scanning technology using a robot as the probe manipulator. The authors of this paper have designed a new parallel robot along these lines. In response to the great concern for safety generated by the use of robots in medicine, we present a new approach for static balancing to enhance the safety of the proposed robot. Because total balancing is not practical for this device, the approach we have chosen is an optimization based on the addition of torsion springs on the actuated and the passive revolute joints. The optimization consists of a sequence of objectives, which are met using a linear programming technique, since the equations of torques and forces are linear with respect to the unknown variables.
Journal of Vascular and Interventional Radiology | 2015
Claude Kauffmann; Frédéric Douane; Eric Therasse; Simon Lessard; Stephane Elkouri; Patrick Gilbert; Nathalie Beaudoin; Marcus Pfister; Jean François Blair; Gilles Soulez
PURPOSE To evaluate the accuracy and source of errors using a two-dimensional (2D)/three-dimensional (3D) fusion road map for endovascular aneurysm repair (EVAR) of abdominal aortic aneurysm. MATERIALS AND METHODS A rigid 2D/3D road map was tested in 16 patients undergoing EVAR. After 3D/3D manual registration of preoperative multidetector computed tomography (CT) and cone beam CT, abdominal aortic aneurysm outlines were overlaid on live fluoroscopy/digital subtraction angiography (DSA). Patient motion was evaluated using bone landmarks. The misregistration of renal and internal iliac arteries were estimated by 3 readers along head-feet and right-left coordinates (z-axis and x-axis, respectively) before and after bone and DSA corrections centered on the lowest renal artery. Iliac deformation was evaluated by comparing centerlines before and during intervention. A score of clinical added value was estimated as high (z-axis < 3 mm), good (3 mm ≤ z-axis ≤ 5 mm), and low (z-axis > 5 mm). Interobserver reproducibility was calculated by the intraclass correlation coefficient. RESULTS The lowest renal artery misregistration was estimated at x-axis = 10.6 mm ± 11.1 and z-axis = 7.4 mm ± 5.3 before correction and at x-axis = 3.5 mm ± 2.5 and z-axis = 4.6 mm ± 3.7 after bone correction (P = .08), and at 0 after DSA correction (P < .001). After DSA correction, residual misregistration on the contralateral renal artery was estimated at x-axis = 2.4 mm ± 2.0 and z-axis = 2.2 mm ± 2.0. Score of clinical added value was low (n = 11), good (n= 0), and high (n= 5) before correction and low (n = 5), good (n = 4), and high (n = 7) after bone correction. Interobserver intraclass correlation coefficient for misregistration measurements was estimated at 0.99. Patient motion before stent graft delivery was estimated at x-axis = 8 mm ± 5.8 and z-axis = 3.0 mm ± 2.7. The internal iliac artery misregistration measurements were estimated at x-axis = 6.1 mm ± 3.5 and z-axis = 5.6 mm ± 4.0, and iliac centerline deformation was estimated at 38.3 mm ± 15.6. CONCLUSIONS Rigid registration is feasible and fairly accurate. Only a partial reduction of vascular misregistration was observed after bone correction; minimal DSA acquisition is still required.
Medical Engineering & Physics | 2010
Simon Lessard; Caroline Lau; R. Chav; Gilles Soulez; Daniel Roy; Jacques A. de Guise
This paper presents a new method for guidewire tracking on fluoroscopic images from endovascular brain intervention. The combination of algorithms chosen can be implemented in real time, so that it can be used in an augmented reality 3D representation to assist physicians performing these interventions. A ribbon-like morphing process combined with a minimal path optimization algorithm is used to track lateral motion between successive frames. Forward motions are then tracked with an endpoint tracking algorithm, based on a circular window processed with the Radon transform. The proposed method was tested on 6 fluoroscopic sequences presenting high-speed motions, which were saved during endovascular brain interventions. The experiments showed above-average precision and robust guidewire tracking, without any permanent error requiring manual correction.
Archive | 2018
Simon Lessard; Rosalie Plantefève; François Michaud; Catherine Huet; Gilles Soulez; Samuel Kadoury
Digital substraction angiography (DSA) images are routinely used to guide endovascular interventions such as embolization or angioplasty/stenting procedures. In clinical practice, flow assessment is evaluated subjectively based on the experience of the operator. Quantitative DSA (qDSA) using optical imaging has been developed to provide quantitative measurements using parameters such as transit time or time to peak. We propose a generalizable method to estimate the actual flow by tracking the contrast agent on the 2D cine images (to evaluate transit time) and using locally rigid registrations of the 2D cine angiograms to the 3D vascular segmentation (to calculate flow rate). An in-vitro endovascular intervention was simulated using a multibranch phantom reproducing a porcine liver arterial geometry. Water was pumped on each exit branch using syringe pump in pull mode. The main intake was switched from water to the contrast agent under angiographic acquisition using a 3-way valve selector. Knowing the actual flow exiting each branch, the same flow was applied to each output in 3 separated experiments (2, 5, and 10 mL/min). The average estimated blood flow rate was within a 16% \((\pm 11\%)\) error range in all experiments compared to the pump flow settings. This novel flow quantifying method is promising to optimize and improve the effectiveness of embolization and revascularization procedures such as transarterial chemoembolizations of the liver.
Archive | 2017
Zinan He; Rosaire Mongrain; Simon Lessard; Gilles Soulez
Calcification (Ca) is one of the main characteristic of aortic wall degeneration, and often associates with the risk of aneurysm rupture and the failure of endovascular repairs (EVAR). It is hypothesized that, not only the intrinsic properties of Ca, but also the location and the geometrical configuration of Ca may alter the global behavior of the aortic wall. In this study, a quantitative and qualitative analysis has been performed over 34 patients having abdominal aortic aneurysm (AAA), to analyze the potential morphological effects of Ca on AAA.
Archive | 2007
Simon Lessard; Pascal Bigras; Ilian A. Bonev; Sébastien Briot; V. Arakelyan
Medical Engineering & Physics | 2015
Simon Lessard; Claude Kauffmann; Marcus Pfister; Guy Cloutier; Eric Therasse; Jacques A. de Guise; Gilles Soulez
World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical, Bioengineering and Pharmaceutical Engineering | 2009
Simon Lessard; Pascal Bigras; Caroline Lau; Daniel Roy; Gilles Soulez; Jacques A. de Guise
Computers in Biology and Medicine | 2018
Florian Joly; Gilles Soulez; Damien Garcia; Simon Lessard; Claude Kauffmann
Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) | 2018
Fabien Picot; Andréanne Goyette; Julien Pichette; Marie-André Tremblay; Joannie Desroches; Sami Obaid; Simon Lessard; Gilles Soulez; Frederic Leblond