Project Title: Microwave and Electrical Stimulation of Human Adult Stem Cells

Description: Electrical stimulation is commonly used clinically to enhance bone fracture repair or muscle regeneration.  While clinically the impact of electricity on wound healing appears to be well accepted, there is almost no information on the mechanistic basis for this response at the cellular or macromolecular levels.  This type of information would be helpful in developing a better understanding on how to apply such energy to optimize specific outcomes, versus the current mode of trial and error to final suitable treatment regimes.  Developing an understating of the mechanisms involved in microwave and electrical inputs on stem cells and eventually cell and tissue repair will contribute to improvements in understanding environmental impacts on human health in general, as well as provide new directions into novel treatments through the use of microwave or electrical devices. 

Team:  This is a joint project between the Department of Biomedical Engineering (Professor Vo Van Toi and Professor David Kaplan), Chemical & Biological Engineering (Professor Vunjak-Novakovic), Electrical Engineering (Professor Mohamed Afsar), and Computer Science (Durwood Marshall).  Undergraduate students involved: Rachel Bill (Senior), Julie Fox (Senior) and Birgit Unfried (Senior), all double majors in Electrical Engineering and Biomedical Engineering.

 

Project Title: Relationship Between EEG and NIRS

Description: Near-infrared spectroscopy (NIRS) is an optical technique that has a great potential for non-invasive medical diagnostics.  It can penetrate through several centimeters of tissue and has been successfully applied to the non-invasive study of skeletal muscle (for muscle perfusion and oxygenation), breast (for tumor detection), and brain (for functional studies) in human subjects.  In this project, NIRS and EEG sensors will be combined into opto-electrical sensors to be arrayed for concurrent physiologic and functional studies of the brain.  Successful outcomes will result in enhanced imaging tools to investigate brain physiology and potentially improved clinical neurodiagnosis that may depend heavily on cerebral metabolic activity (for example, early prediction/advance warning of impending seizure onset in patients with epilepsy, precise mapping of cortical seizure propagation, and differentiating complex partial epilepsy from severe migraine with aura). The short-term goal is to develop an enhanced tool to investigate the relationship between the electrical neuronal activation (measured with EEG) and the vascular response resulting in a focal increase in blood flow (measured with NIRS). This may help elucidate the mechanisms of neurovascular coupling that are associated with brain activation. The long-term goal is to develop a novel monitoring and diagnostic tool that improves the clinical outcome for patients affected by epilepsy and migraine with aura. 

Team: This project involves faculty from Biomedical Engineering (Professor Sergio Fantini and Professor Vo Van Toi), Tufts Medical School (Professor Peter Bergethon), and Psychology (Professor Nalini Ambadi).  Undergraduate students involved: Jeff Martin (Senior), David Lin (Senior),  Matthew Hoimes (Senior) and Anita Rhora (Senior), all double majors in Electrical Engineering and Biomedical Engineering.

 

Project Title:  Relationship among human posture, dental position and muscle strength

Description: The short term goal is to determine the range of neck motion and head position in healthy adults, to be followed by establishing quantitative standards by which researchers and medical providers can systematically assess neck pain and mobility in patients. These standards will greatly improve the current evaluation of treatment and diagnosis methods used to assess craniofacial pain as well as muscle strength in patients.

Team: This is a joint project between the Department of Biomedical Engineering (Professor Vo Van Toi) and the Craniofacial Pain Center of the Tufts Dental School (Professor Noshir Mehta and Professor Albert Forgione), and includes undergraduate students Edward Tangchitnob (Senior), Aeric Solow (Senior), and Steven Boutrous (Junior). They are students double major in Electrical Engineering and Biomedical Engineering.

 

Project Title: Healthcare Information Technology Network

 

Description: The goal of this project is to develop a healthcare information technology (HIT) network to enhance the information transmission between patients, healthcare professionals and the medical instruments involved in the diagnostics and treatments. This novel network is based on the Internet and wireless techniques.  It will be capable of recording data from an instrument or from a medical personnel, storing, presenting and transmitting data at any time, from and to anyplace.  HIT will connect individual patients, their own healthcare personnel (physicians, nurses, administrators), and health stations.  A health station is a complex having adequate medical devices. It can be part of a healthcare establishment (Hospital, HMO) as in the current situation or a stand-alone establishment. This concept is similar to that of a gas station or car-service station.  Any patient belonged to the network can get access to a health station.

 

Team: This is a joint project between Biomedical Engineering Department at Tufts University (Professor Vo Van Toi) and Tufts Healthcare Center. Graduate students: Shahla Almasri, Selma Holden, Jean-Francois Marois and Stephanie DeChiaro. All are Master’s degree students.

 

Project Title: Development of a Computer-Controlled Dynamic Phantom for Tumor Motion Simulation for Image Guided Adaptive Radiotherapy

 

Description: A computer controlled dynamic dosimetry phantom was created to simulate tumor motion so that new techniques in radiation delivery could be tested for accuracy in radiation treatment.  A two – dimensional computer controlled phantom was developed to replicate tumor movement more precisely spatially and temporally.  The design of the phantom composed of three main parts: a mechanical platform, an electrical interface and a computer system.  A calibrated camera system was used to test the accuracy of the phantom’s motion.  The phantom was able to simulate the actual tumor trajectories in a predicable fashion, retracing the tumor movements. 

Team: This is a joint project between the Biomedical Engineering Department at Tufts University (Professor Vo Van Toi) and the Massachusetts General Hospital (Professor Steven Jiang and Gregory C. Sharp) with the collaboration of graduate students Sheri Weinberg, and Dianna Lo. They are students double major in Electrical Engineering and Biomedical Engineering.

 

Project Title: Magnetic Resonance Imaging of Anatomical Layer Specificity in the Cat Retina  

Description: This study investigates the visual resolution of three distinct anatomical “layers”, or strips, in the cat retina using T2-weighted, diffusion-weighted, and Gd-DTPA contrast-enhanced magnetic resonance imaging (MRI). The ability to separately resolve different layers of the retina, including the separation of the retinal and choroidal vasculatures, substantially extends the diagnostic capabilities of MRI.

Team: This is a joint project between the Biomedical Engineering Department at Tufts University (Professor Vo Van Toi), Center for Comparative NeuroImaging, Department of Psychiatry University of Massachusetts Medical School (Professor Timothy Duong, graduate students: Q Shen, H Cheng, Z Li, T Chang, G Nair), and the Department of Biomedical Engineering, Worcester Polytechnic Institute (Professor Ross Shonat)