Electrical Impedance Imaging Laboratory
EIT reconstruction algorithms and hardware systems for clinical applications
Dr. Jennifer Mueller is the Albert C. Yates Chair Professor of Mathematics and a Professor of Biomedical Engineering at Colorado State University (CSU). She received her Ph.D. from the University of Nebraska-Lincoln in 1997, and was an NSF Postdoctoral Fellow at Rensselaer Polytechnic Institute before joining the faculty at CSU in 2000. She held the 3-year position of Professor Laureate in the College of Natural Sciences at CSU from 2020 through 2022.
Her research encompasses development of new hardware, reconstruction algorithms, and clinical applications for electrical impedance tomography (EIT) and ultrasound computed tomography (USCT). Supported by the NIH, her work involves close collaborations with mathematicians, engineers, and physicians in the U.S. and abroad. Dr. Mueller serves as an Associate Editor for IEEE Transactions on Medical Imaging and is the co-founding editor of the journal Applied Mathematics for Modern Challenges.
She is co-author with Samuli Siltanen of the book “Linear and Nonlinear Inverse Problems with Practical Applications’’, SIAM, 2012, and they are working on a new book: “Introduction to Inverse Problems: A Data Science Perspective”.
Andre Pigatto is a bioengineer and former Ph.D. student at Colorado State University, where he combined his background in electrical and computer engineering with biomedical research to pioneer new non-ionizing imaging approaches. During his doctorate, he co-developed the first low-frequency ultrasound tomography (LUFT) system for lung imaging and advanced the use of electrical impedance tomography (EIT) in clinical studies with collaborators at Children’s Hospital Colorado.
Building on more than eight years of experience across research and medical device development, Andre has also led industry efforts to design next-generation organ-on-a-chip platforms, contributing multiple patents and driving innovations in fluidics, additive manufacturing, and systems engineering.
Now a Postdoctoral Fellow at CSU, his work continues to bridge clinical needs and laboratory innovation, with the goal of delivering patient-centered diagnostic technologies that directly improve healthcare outcomes.
Kyler got his Bachelors in Biomedical Engineering at George Fox University in Newberg, Oregon. He came out to CSU to pursue his PhD in Biomedical Engineering, with a focus on algorithms and machine learning for medical imaging.
Kyler has been working primarily on simulating 3D EIT data to use as for machine learning datasets and other methods relying on an anatomically correct prior. In his free time, Kyler loves climbing, biking, making cosplays, and serving in his church.
I am researching in iterative real-time reconstruction algorithms for EIT.
I have a specific interest in simple and easily describable algorithms. Much of my current research is in implementing anatomically informed initial conditions into trusted algorithms, allowing the algorithms to perturb from a more accurate estimation of the body.
I am currently interested in heart imaging techniques using both EIT and ECG.
I have also done some work with D-bar algorithms.
Hi! My name is Natalie Wijesinghe and I am a math PhD student at CSU.
My research in our EIT lab has included working with iterative and direct methods for solving the inverse conductivity problem. I also help with data collection at one of our partnering hospitals. Outside of school, I enjoy hiking, playing tennis and soccer, and spending time with friends and family!
Isabella Gravante
I’m a senior biochemistry student minoring in bioinformatics!
My work at the lab has primarily encompassed the creation of an anatomical atlas from CT data, which we hope will improve the resolution of the EIT system.
I’m really interested in the process of using electrical data to learn more about the human body, and I also work with electroencephalography (EEG) at another lab on campus.
Dr. Nilton Barbosa da Rosa Jr. (2025) “Real-Time 2D and 3D Electrical Impedance Tomography and Applications”
Dr. Andre Viera Pigatto (2023) “Non-ionizing tomographic imaging modalties for bedside lung monitoring”
Dr. Emily Heavner (2022) “An Inverse Problem and Multi-Compartment Lung Model for the Estimation of Lung Airway Resistance throughout the Bronchial Tree”
Dr. Scott Ziegler (2022) “Full Waveform Inversion for Ultrasound Computed Tomography in the Deterministic and Bayesian Settings”
Dr. Kwancheol Shin (2020) “Electrical Impedance Tomography with Calderón’s Method in Two and Three Dimensions”
Dr. Michael Capps (2019) “Recovery of Organ Boundaries in Electrical Impedance Tomography Images Using a priori Data, Optimization, and Deep Learning”
Dr. Rashmi Murthy (2018) “Bayesian approach to the anisotropic EIT problem and effect of structural changes on reconstruction algorithm using 2-D D-bar algorithm
Dr. Melody Alsaker (2016) “Computational Advancements in the D-bar Reconstruction Method for 2-D Electrical Impedance Tomography”
Dr. Michelle Mellenthin (2016) “The Active Complex Electrode (ACE1) Electrical Impedance Tomography System”
Dr. Natalia Herrera (2012) “A D-bar method for estimating admittivity in 2-D for electrical impedance tomography” University of Sao Paulo, Brazil, co-advised with Raul Gonzalez Lima
Dr. Miguel Montoya (2012) “Completely non-linear electrical impedance tomography reconstructions using a D-bar method in 2-D” University of Sao Paulo, Brazil, co-advised with Raul Gonzalez Lima”
Dr. Sarah Hamilton (2012) “A direct D-bar reconstruction algorithm for complex admittivities in W^{2,infinity}(Omega) for the 2-D EIT problem”
Dr. Ryan Croke (2012) “The Novikov-Veselov equation, stability of solitary-wave solutions and a numerical solution”
Dr. Alan Von Hermann (2009) “Properties of the reconstruction algorithm and the associated scattering transform for admittivities in the plane”
Dr. Jutta Bikowski (2009) “Electrical impedance tomography reconstructions in two and three dimensions: from Calderon to direct methods”
Dr. Ethan Murphy (2007) “2-D D-bar conductivity reconstructions on non-circular domains”
Dr. Talles Santos (2020 – 2022)
Dr. Sanwar Ahmad (2019 – 2022)
Dr. Peter Muller (2014 – 2017)
Dr. Miguel Montoya (2013)
Dr. Natalia Herrera (2013)
Natalie Wijesinghe (2025)
Emily Heavner (2019)
Scott Ziegler (2018)
Ryan Price (2012)
Shelby Stanhope (2010)
Ashley Swannack (2008)
Jennifer Maple (2006)
Elena Jakubikova (2005)
Jutta Bikowski (2004)