Quantitative Magnetic Resonance Imaging (MRI) of Neurological Diseases

picture of a large magnetic resonance imaging machine.

Contribute to our ongoing clinical and pre-clinical research and develop emerging biomedical imaging technologies that help improve the understanding, diagnosis, and treatment of neurological diseases.

Project description

Our lab develops and applies emerging biomedical imaging methodologies based on magnetic resonance imaging (MRI). The focus of our research lies in signal mechanisms related to magnetically inhomogeneous tissues. Our primary goal is to gain insights into the poorly understood role of brain iron in neurological diseases and aging. You will support our ongoing research. Depending on your interest and existing skills, you will implement or evaluate image processing algorithms, solve physics-based equations using experimental data, or use high-level image analysis strategies to understand pathological tissue alterations better.

Our lab is part of the Buffalo Neuroimaging Analysis Center (BNAC) and affiliated with the Center for Biomedical Imaging.

BNAC is a leader in the development of new analysis techniques geared toward obtaining a complete understanding of underlying disease processes. Since its inception, BNAC has been establishing itself as a world leader in global and regional quantitative brain atrophy research in multiple sclerosis (MS) as well as other neurodegenerative disorders such as Parkinson's and Alzheimer's. The BNAC strives to improve the investigation of neurological diseases and disorders as well as to accurately identify these illnesses using improved diagnostic tools as well as its clinical, MRI, and genetic correlates. Numerous peer-reviewed publications, books, and book chapters, as well as awards, reflect our high-quality of research. Since the beginning, BNAC research projects have involved international collaboration with a variety of clinicians and scientists pursuing the use of quantitative magnetic resonance imaging (MRI) to study brain disorders.

The CBI provides infrastructure and advanced imaging expertise that is entirely dedicated to performing research imaging. It is located on the 7th floor of the Clinical and Translational Research Center (CTRC). The CBI is a world leader in conducting advanced imaging research using lesional, atrophy, magnetization transfer, diffusion imaging, spectroscopy, susceptibility, perfusion imaging, and other advanced MRI techniques, with clinical and experimental biomarker outcomes in preclinical and clinical research models.

We are seeking students to work on research projects during the summer break or throughout the calendar year. Students who have a strong background in neuroscience, physics, computer science, and mathematics (particularly numerical approaches) and would like to work on the implementation of processing techniques in research and clinical settings are welcome. Students that will be considered include Ph.D., Masters, Medical Students, Graduate, and Undergraduate. Ideally, candidates will also have some image processing experience and be skilled in Matlab, Python, bash scripting, or C/C++ and SPSS. Some projects include advanced machine learning concepts, such as deep learning.

Working in our lab, you will obtain excellent hands-on training in these generalizable skill areas!

Project outcome

The specific outcomes of this project will be identified by the faculty mentor at the beginning of your collaboration. 

Project details

Timing, eligibility and other details
Length of commitment To be determined by student/mentor
Start time Fall, Spring, Summer
In-person, remote, or hybrid?
Level of collaboration To be determined by student/mentor
Benefits Academic Credit, Salary/Stipend, Volunteer, Work Study
Who is eligible Experience with at least one modern computer language; Ability to work independently; Enthusiasm about the application of computer science/nature sciences/engineering in the medical field; At least 10 hours commitment per week
Goldwater and the National Science Foundation

Students participating in this project might be interested in and eligible for the Goldwater Scholarship and the National Science Foundation Graduate Research Fellowship. Connect with the Office of Fellowships and Scholarships to learn more.

Project mentor

Ferdinand Schweser

Assistant Professor

Computer Science and Engineering

Clinical and Translational Research Center, 875 Ellicott St.

Phone: (716) 999-4718

Email: schweser@buffalo.edu

Start the project

  1. Email the project mentor using the contact information above to express your interest and get approval to work on the project. (Here are helpful tips on how to contact a project mentor.)
  2. After you receive approval from the mentor to start this project, click the button to start the digital badge. (Learn more about ELN's digital badge options.) 

Preparation activities

The specific preparation activities for this project will be customized through discussions between you and your project mentor. Please be sure to ask them for the instructions to complete the required preparation activities.


Computer Science and Engineering