Guillaume Pernelle
Brigham and Women's Hospital
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Publication
Featured researches published by Guillaume Pernelle.
Proceedings of SPIE | 2014
Alireza Mehrtash; Antonio L. Damato; Guillaume Pernelle; Lauren Barber; Nabgha Farhat; Akila N. Viswanathan; Robert A. Cormack; Tina Kapur
Gynecologic malignancies, including cervical, endometrial, ovarian, vaginal and vulvar cancers, cause significant mortality in women worldwide. The standard care for many primary and recurrent gynecologic cancers consists of chemoradiation followed by brachytherapy. In high dose rate (HDR) brachytherapy, intracavitary applicators and /or interstitial needles are placed directly inside the cancerous tissue so as to provide catheters to deliver high doses of radiation. Although technology for the navigation of catheters and needles is well developed for procedures such as prostate biopsy, brain biopsy, and cardiac ablation, it is notably lacking for gynecologic HDR brachytherapy. Using a benchtop study that closely mimics the clinical interstitial gynecologic brachytherapy procedure, we developed a method for evaluating the accuracy of image-guided catheter placement. Future bedside translation of this technology offers the potential benefit of maximizing tumor coverage during catheter placement while avoiding damage to the adjacent organs, for example bladder, rectum and bowel. In the study, two independent experiments were performed on a phantom model to evaluate the targeting accuracy of an electromagnetic (EM) tracking system. The procedure was carried out using a laptop computer (2.1GHz Intel Core i7 computer, 8GB RAM, Windows 7 64-bit), an EM Aurora tracking system with a 1.3mm diameter 6 DOF sensor, and 6F (2 mm) brachytherapy catheters inserted through a Syed-Neblett applicator. The 3D Slicer and PLUS open source software were used to develop the system. The mean of the targeting error was less than 2.9mm, which is comparable to the targeting errors in commercial clinical navigation systems.
Medical Image Analysis | 2017
Andre Mastmeyer; Guillaume Pernelle; Ruibin Ma; Lauren Barber; Tina Kapur
HighlightsSegmentation and catheter identification in MRI images for brachytherapy.ONE CLICK user interaction per catheter.Coupling of mechanical model and image features.Outlier detection and correction.93% accuracy and 0.29 mm precision error. Graphical abstract Figure. No caption available. ABSTRACT The gynecological cancer mortality rate, including cervical, ovarian, vaginal and vulvar cancers, is more than 20,000 annually in the US alone. In many countries, including the US, external‐beam radiotherapy followed by high dose rate brachytherapy is the standard‐of‐care. The superior ability of MR to visualize soft tissue has led to an increase in its usage in planning and delivering brachytherapy treatment. A technical challenge associated with the use of MRI imaging for brachytherapy, in contrast to that of CT imaging, is the visualization of catheters that are used to place radiation sources into cancerous tissue. We describe here a precise, accurate method for achieving catheter segmentation and visualization. The algorithm, with the assistance of manually provided tip locations, performs segmentation using image‐features, and is guided by a catheter‐specific, estimated mechanical model. A final quality control step removes outliers or conflicting catheter trajectories. The mean Hausdorff error on a 54 patient, 760 catheter reference database was 1.49 mm; 51 of the outliers deviated more than two catheter widths (3.4 mm) from the gold standard, corresponding to catheter identification accuracy of 93% in a Syed–Neblett template. In a multi‐user simulation experiment for evaluating RMS precision by simulating varying manually‐provided superior tip positions, 3&sgr; maximum errors were 2.44 mm. The average segmentation time for a single catheter was 3 s on a standard PC. The segmentation time, accuracy and precision, are promising indicators of the value of this method for clinical translation of MR‐guidance in gynecologic brachytherapy and other catheter‐based interventional procedures.
PLOS Computational Biology | 2018
Guillaume Pernelle; Wilten Nicola; Claudia Clopath
Cortical oscillations are thought to be involved in many cognitive functions and processes. Several mechanisms have been proposed to regulate oscillations. One prominent but understudied mechanism is gap junction coupling. Gap junctions are ubiquitous in cortex between GABAergic interneurons. Moreover, recent experiments indicate their strength can be modified in an activity-dependent manner, similar to chemical synapses. We hypothesized that activity-dependent gap junction plasticity acts as a mechanism to regulate oscillations in the cortex. We developed a computational model of gap junction plasticity in a recurrent cortical network based on recent experimental findings. We showed that gap junction plasticity can serve as a homeostatic mechanism for oscillations by maintaining a tight balance between two network states: asynchronous irregular activity and synchronized oscillations. This homeostatic mechanism allows for robust communication between neuronal assemblies through two different mechanisms: transient oscillations and frequency modulation. This implies a direct functional role for gap junction plasticity in information transmission in cortex.
ASME 2011 Summer Bioengineering Conference, Parts A and B | 2011
Michael R. Moreno; Saurabh Biswas; Lewis D. Harrison; Guillaume Pernelle; Matthew W. Miller; Theresa W. Fossum; David A. Nelson; John C. Criscione
Congestive heart failure (CHF) is a debilitating disease that is generally initiated by some index cardiac event and ultimately characterized by left ventricular (LV) remodeling which dramatically alters the mechanical environment about the heart. It is well established that mechanical stimuli (e.g., stress or strain) are important epigenetic factors in cardiovascular development, adaptation, and disease.1–3 Interestingly, abnormal cardiac kinematics is often considered a symptom of heart failure when in actuality it is likely a primary contributing factor to the relentless progression of the disease.4 Cellular responses to pathologic mechanical factors lead to further pathologic remodeling and a positive feedback loop emerges such that eventually a threshold is reached wherein the neurohormal compensatory mechanisms activated to maintain homeostasis following the initial cardiac event are no longer sufficient to deter further progression of the disease. Consequently, treatment strategies that fail to remedy the aberrant mechanical environment become increasingly ineffective as the disease progresses.Copyright
medical image computing and computer assisted intervention | 2013
Guillaume Pernelle; Alireza Mehrtash; Lauren Barber; Antonio L. Damato; Wei Wang; Ravi T. Seethamraju; Ehud J. Schmidt; Robert A. Cormack; William M. Wells; Akila N. Viswanathan; Tina Kapur
Brachytherapy | 2013
Guillaume Pernelle; Jan Egger; Carolina Vale; Xiaojun Chen; Franz Irlinger; Tim C. Lueth; William M. Wells; Ron Kikinis; Akila N. Viswanathan; Tina Kapur
arXiv: Computer Vision and Pattern Recognition | 2017
Andre Mastmeyer; Guillaume Pernelle; Lauren Barber; Steve Pieper; Dirk Fortmeier; Sandy Wells; Heinz Handels; Tina Kapur
Archive | 2012
Jan Egger; Neha Agrawal; Tyler Blevins; Nabgha Farhat; Guillaume Pernelle; Xiaojun Chen; Yi Gao; William M. Wells; Tobias Penzkofer; Tina Kapur; Akila N. Viswanathan
IEEE Transactions on Medical Imaging | 2018
Alireza Mehrtash; Mohsen Ghafoorian; Guillaume Pernelle; Alireza Ziaei; Friso G. Heslinga; Kemal Tuncali; Andriy Fedorov; Ron Kikinis; Clare M. Tempany; William M. Wells; Purang Abolmaesumi; Tina Kapur
arXiv: Neurons and Cognition | 2017
Guillaume Pernelle; Wilten Nicola; Claudia Clopath