ARCHES Grant Projects
Toward Automated Diagnosis of Seizures and 3D Representation of SEEG Clinical Data
Investigators: Matthew Bramlet, MD, UICOMP, OSF HealthCare; Brad Sutton, PhD, UIUC; Yogatheesan Varatharajah, PhD, UIUC; Andres Maldonado, MD, UICOMP, OSF HealthCare; Michael Xu, MD, PhD, UICOMP, OSF HealthCare
Some patients with seizures face debilitating effects that pharmacologic therapy cannot treat. These patients are left with surgery as their best option that requires an invasive procedure (stereotactic-electroencephalography or SEEG) to pinpoint the origin of these seizures. This project will present surgeons with a stereoscopic 3D model to give surgeons a better mental representation of where seizures are occurring. The group also wants to develop an automated interpretation algorithm of SEEG tracings, and create predictive algorithms to reduce invasive testing.
Ventilator Duplication Kit - 2019
Investigators:Dr. Matthew Bramlet, Director of Congenital Cardiac MRI, OSF HealthCare Children’s Hospital of Illinois and Clinical Medicine, Director Advanced Image Modeling at Jump Trading Simulation and Education Center, Pediatrics, UICOMP; Dr. Jon C. Michel, Director of Critical Care, OSF HealthCare Saint Francis Medical Center; Brad Sutton and; Laura Villafan Roca, Grainger College of Engineering, U of I at Urbana-Champaign.
The Ventilator Duplication Kit project aims to develop a rapidly deployable kit for using a single ventilator among multiple patients with varying ventilation needs by tailoring the delivered breaths to each individual. Research and development will start with MATLAB physics simulations of the pressure and flow of the ventilator-multi-patient system. The end product will be a system of one-way valves and additive resistive tubing along with flow and pressure monitors for each patient.
Virtual Heart Patch for Determining Complex Shapes for Surgical Patching - 2019
Investigators: Arif Masud, Illinois/Civil and Environmental Engineering and Matthew Bramlet, OSF/UICOMP
该小组正在开发一个软件模块，允许外科医生在虚拟现实环境中模拟创建形状复杂的2D心脏补丁。Surgeons would use this simulation to determine the size and shape of a patch that needs cut from a 2D sheet of flexible cloth-like material that can be used in a real heart patch surgery.
Automated and Adaptive Whole-Body Segmentation for Visualization of Anatomy, Lesions, and Intervention Pathways for Medical Training - 2018
Investigators: Brad Sutton, Illinois/Bioengineering and Matthew Bramlet, OSF/UICOMP
This project expands on a previous effort to develop an automated segmentation program to create congenital heart defects in 3D, viewable in a variety of digital formats. The current proposal seeks to develop another automated segmentation platform for the creation of 3D content of the whole body for medical training in virtual reality.
Simulation Training for Mechanical Circulatory Support Using Extra-Corporeal Membrane Oxygenation (ECMO) In Adult Patients - 2017
Investigators: Pramod Chembrammel from U of I and Matthew Bramlet, MD from OSF HealthCare and UICOMP
This team is developing a simulator to train surgeons in using extra-corporeal membrane oxygenation (ECMO) to provide artificial oxygenation to blood cells. This skill, which is difficult to perfect without practicing on real patients, helps save failing hearts and lungs during a surgery. The researchers are modifying the DR DopplerTM blood flow simulator, which simulates blood flow in the vasculature, to develop a working prototype where the blood flow changes colors based on oxygenation.