May
15
2017

An Update on ARCHES Projects 2017

It’s been three years since the Jump ARCHES (Applied Research for Community Health through Engineering and Simulation) grant program launched.  The $62.5 million endowment and collaborative effort with the top-ranked University of Illinois College of Engineering and University of Illinois College of Medicine at Peoria frees doctors and engineers from their “silos” and creates opportunities for unprecedented collaboration. Teams work together and use the unique environment of the simulation center to hypothesize and redesign the tools, techniques and processes being used by caregivers every day.

ARCHES-smallHere’s an update on the latest projects to receive funding.  

Multi-modal medical image segmentation, registration and abnormality detection for clinical applications (Fall 2016)

Led by: Thomas Huang, Sc.D. from U of I and Matthew Bramlet, MD from OSF HealthCare and UICOMP

This team is developing an automatic 3D segmentation method, making it easier to separate out images of particular organs from an entire 3D rendering. As a result, physicians will be able to better detect abnormalities in medical images.

Developing MRI acquisitions and protocols to enable automated segmentation of cardiac and brain images (Fall 2016)

Led by: Brad Sutton, Ph.D. from U of I and Matthew Bramet, MD from OSF HealthCare and UICOMP

In this project, researchers will develop an imaging protocol that will help physicians get a better picture of the heart and brain. Work will focus on providing maximal differentiation of different tissue types in the brain and heart of patients undergoing MRI diagnostics. This will result in several acquisitions that, when combined, provide maximal tissue separation in a multidimensional histogram. Using open-source algorithms, they will develop processing scripts that automatically create segmented and labeled models of the tissue types and states in a 3D structure of the heart.

Interactive technology support for patient medication self-management (Fall 2016)

Led by: Dan Morrow, Ph.D. from U of I and James Graumlich, MD from OSF HealthCare and UICOMP

Researchers are developing a natural language processing tool that translates technical medication information into patient-centered language in electronic medical records (EMR). The group involved in this project is integrating patient-centered language into a conversational agent (CA)-based “medication adviser” system that supports collaboration and emulates best practices gleaned from face-to-face communication techniques. The researchers also will engage patients by developing interactive capabilities, such as using “teachback” when communicating with patients.

Surgical planning via preoperative surgical repair of next generation 3d, patient specific, cardiac mimic (Fall 2016)

Led by: Rashid Bashir, Ph.D. from U of I and Matthew Bramlet, MD from OSF HealthCare and UICOMP

This team is working to improve care for pediatric cardiac patients. Researchers will leverage CT imaging and segmentation approaches to create new models for printing 3D infant hearts that mimic the structure, material properties and physical defects of tiny patients. Physicians will use the 3D models to practice surgical techniques and then use imaging methods to evaluate the effectiveness of the procedure.

Multi-Robot minimally invasive single port laparoscopic surgery (Fall 2016)

Led by: Placid Ferreira, Ph.D. from U of I and Charles Aprahamian, MD from OSF HealthCare and UICOMP

This team is working to develop a new robotic platform that enables high-fidelity digital simulation, which will facilitate easy surgical training for clinicians. The robot will allow surgeons to translate the dexterity, torque and triangulation capabilities of the human in-vivo and will offer a high level of configurable and customizable methods for different surgical procedures. In addition, the robot will be portable and easy to use in field and emergency operations, as well as potentially low cost.

Simulation of postural dysfunction in Parkinson’s disease (Summer 2017)  

Led by: Manuel Hernandez, Ph.D. from U of I, Dronacharya Lamichhane, MD from OSF HealthCare and UICOMP and Richard Sowers from U of I  
 
Falls are a prevalent and significant problem in people with Parkinson’s disease that is associated with gait and balance impairment. Balance impairment in Parkinson’s disease and the unique contributions from anxiety are poorly understood and difficult to treat.
 
This team is using a unique test of balance to gain a greater understanding of the coordinated activity of the body and brain, the disruption of this coupling that results from Parkinson’s disease and the influence of dopaminergic therapy.
 
Using virtual reality, this work will provide health care practitioners with a new tool for use in long-term monitoring of disease progression and drug treatment efficacy relevant to a wide range of motor disorders. In addition, it will serve as a platform for simulating the effects of altered sensory and motor integration function to the health care practitioners of tomorrow.

Movement impairment characterization and rehabilitation for dystonic cerebral palsy using robotic haptic feedback in virtual reality (Summer 2017)

Led by: Citlali Lopez, Ph.D. from U of I and Julian Lin, MD from OSF HealthCare and UICOMP

Cerebral palsy (CP) is the most common movement problem in children. 10% of children with CP have dystonia and seek medical assistance at higher rates than other forms of CP. Dystonia is a movement disorder with involuntary muscle contractions the cause twisting and repetitive movements, abnormal postures, or both. There is no cure for dystonia and rehabilitation exercises are unknown.

The team working on this project is developing a non-invasive, game-like intervention for patients with dystonic-CP using virtual reality and haptic feedback. The goal is to improve clinical motor scores.
This game-like tool will also double as a training implement for medical practitioners in the identification of complex presentations of motor disorders, not limited to CP.

You can read about previous winners of the ARCHES grant here.

 

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