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Welcome to the Center For Advanced Metabolic Imaging in Precision Medicine (CAMIPM), a National Center for Biomedical Imaging and Bioengineering (NCBIB) in the Perelman School of Medicine at the University of Pennsylvania.
Principal Investigator: Ravinder Reddy, Ph.D., Director and Professor of Radiology
The CAMIPM develops and translates cutting edge noninvasive metabolic imaging biomarkers for use in biomedical research. Technology development is focused in four major application areas: Oncology, Cardiovascular disease, Neuropsychiatry, and Musculoskeletal disorders. These technologies will have substantial impact on the fundamental understanding of disease mechanisms, early diagnosis, and development of novel therapies for several diseases such as Alzheimer’s disease, Epilepsy, Arthritis, Cancer, Stroke, and heart disease, and thus contribute to precision medicine and enhanced patient care. The facility’s core sections provide research and computing resources for numerous user, collaborative, and training projects.
The focus of this center is on developing instrumentation, methodologies, and data analysis techniques for the quantitative assessment of functional, structural, and metabolic parameters in humans with the use of chemical exchange weighted molecular magnetic resonance imaging (MRI), MRI of oxygen consumption, down field spectroscopy, and diffuse optical imaging techniques.
We are supported by the NIBIB under Grant No. P41 EB029460.
CAMIPM Seminar Series
"Mapping human cerebral blood flow and brain function using speckle contrast optical spectroscopy"
Xiaojun Cheng, PhD
Research Assistant Professor of Biomedical Engineering
Boston University
URL: https://www.bu.edu/eng/profile/xiaojun-cheng-ph-d/
Abstract:
The development of speckle contrast optical spectroscopy (SCOS) has emerged as a promising tool for measuring human cerebral blood flow (CBF) and brain function. In this presentation, we will show the design and validation of a SCOS system tailored for human brain measurements, emphasizing its potential to outperform traditional diffuse correlation spectroscopy (DCS) systems in terms of contrast-to-noise ratio (CNR) and cost-effectiveness. Through extensive numerical analysis and experimental data, we demonstrate the system's ability to measure both cardiac and brain activation signals, with a focus on overcoming noise-related biases. Additionally, we introduce a high-density, multi-channel SCOS setup capable of generating activation maps for brain function assessment. The results of human measurements, including brain activation during cognitive tasks, are discussed. This work lays the foundation for future applications of SCOS in clinical and research settings for real-time, non-invasive monitoring of cerebral hemodynamics.
Date: Thursday, April 17, 2025
Location: Room 1412 BRB2
Time: 3:00 PM
Zoom link:
https://pennmedicine.zoom.us/j/93435730386?pwd=YmxHa2I5Ny9wWWlZNzBPU3ZJR05sQT09
Meeting ID: 934 3573 0386
Passcode: 897997