Creating Biomedical Technologies to Improve Health

2018 BESIP Project

Cardiovascular Intervention Program, Cardiovascular and Pulmonary Branch
Mentor Name: 
Robert Lederman, M.D.
Dan Herzka, Ph.D.
Mentor Telephone: 
(301) 451-4928
Computational Bioscience and Engineering Laboratory
Mentor Name: 
Thomas Pohida #2
John Kakareka
Mentor Telephone: 
(301) 435-2904

Laboratory and Project Description

Evaluation of System Performance for PRiME system

A multidisciplinary intramural team led by CIT in collaboration with the NHLBI Cardiovascular Intervention Program developed and implemented a fundamental electronics and signal processing tool facilitating MRI catheterization procedure innovation.  As an alternative to surgical techniques in the treatment of cardiovascular disease, NHLBI is developing innovative techniques in cardiovascular catheterization with the use of real-time MRI. The use of MRI greatly reduces the patient's exposure to ionizing radiation from X-ray imaging, which is typically used in catheterization procedures. During these procedures, the cardiology staff must continuously monitor the patient's physiological signals (i.e., ECG and IBP (invasive blood pressure)) for both patient safety and diagnostic purposes. Due to the lack of commercial solutions, SPIS staff developed a high fidelity physiological signal recording system that operates in the hostile (e.g., electromagnetic interference) environment of MRI, which allows physicians to safely navigate catheters through the heart using MRI. The Physiological Recording in MRI Environment (PRiME) system includes custom electronics which are resilient to MRI-induced noise (e.g., filtering, digitization, data transmission, fabrication methods tailored to mitigate the effects of a noise-rich environment), an adaptive filter software algorithm which removes additional noise, and an interface to a commercial hemodynamic recording system which allows the cardiology staff to use their existing workflow. In a license-free form, SPIS is publicly disseminating the PRiME system design documents for other research hospitals to duplicate the PRiME system, allowing more research groups to contribute to the field of MRI-guided cardiovascular interventions. With NHLBI, SPIS deployed the PRiME system to the Children's National Medical Center in Washington, D.C., where it has been successfully used in over 40 pediatric procedures. Within NHLBI at the NIH Clinical Center, the PRiME system has been used in over a hundred adult procedures and numerous animal experiments.

NHLBI has recently installed a new MRI magnet with state-of-the-art hardware which allows new avenues of research. The performance of the PRiME system needs to be thoroughly evaluated with this new system. In addition, further improvements to the PRiME system require a detailed analysis of current performance to drive new design ideas.

The BESIP student working on this project would have interest in the acquisition of physiological signals in an MRI environment. Working closely with the interdisciplinary team, the intern will gain valuable hands-on biomedical engineering experience with multiple procedures and technologies including ECG amplifiers, invasive blood pressure sensors, MRI pulse sequences, MRI-induced noise analysis, scientific programming (e.g., Matlab), adaptive noise filtering, and data acquisition.

Lederman lab: Catheterization is a minimally invasive approach to treating cardiovascular disease, and uses increasingly sophisticated combinations of catheter tools to maneuver in the vasculature and of imaging technologies to track them. Dr. Lederman's goal is to enhance and expand the capabilities, safety, and effectiveness of catheterization by using real-time magnetic resonance imaging (MRI) to enable non-surgical catheter-based treatments for adults and children.

Pohida group: Provides electrical, electronic, electro-optical, mechanical, computer, and software engineering expertise to NIH projects that require in-house technology development. Collaborations involve advanced signal transduction and data acquisition; real-time signal and image processing; control and monitoring systems (e.g. robotics, process automation); and rapid prototype development. Collaborations result in the design of first-of-a-kind biomedical/clinical research systems, instrumentation, and methodologies.