Projects

FireVoxel: Interactive Software for Multi-Modality Analysis of Dynamic Medical Images

FireVoxel is a freely distributed medical imaging analysis software developed at NYU Langone that provides powerful quantitative tools—especially for dynamic abdominal and genitourinary studies—and has become widely adopted in MRI research worldwide.

QUANTITATIVE MRI   SOFTWARE

GRASP MRI

This project focuses on the ongoing development and clinical translation of GRASP MRI—a fast, motion-robust dynamic imaging method combining golden-angle radial sampling, compressed sensing, and parallel imaging—which has been widely adopted in clinical practice, expanded into advanced variants, and increasingly applied in both diagnostic and therapeutic settings.

BRAIN   RAPID MRI

Longitudinal Single-Center Study with Rapid Quantitative Assessment of Knee Joint with Compressed Sensing

This study uses compressive sensing (CS) techniques to accelerate knee MRI and track osteoarthritis (OA) progression by measuring T2 and T1rho relaxation times, enabling faster detection of cartilage degeneration and changes associated with advancing disease.

MSK   QUANTITATIVE MRI

Breast cancer Intravoxel Incoherent Motion Multisite (BRIMM) Project

The BRIMM project is a multi-site breast cancer study using intravoxel incoherent motion (IVIM) MRI to develop a robust, cross-platform imaging biomarker that noninvasively characterizes the tumor microenvironment and predicts response to neoadjuvant chemotherapy.

BREAST   DIFFUSION MRI

Imaging and Therapeutic Targeting of Tissue Crosstalk in the Injured Knee

This project investigates the interplay between inflammation and apoptosis in post-traumatic osteoarthritis (PTOA) using in vitro and in vivo methods to develop therapeutic strategies that target both pathways and prevent disease progression.

MOLECULAR IMAGING   MSK
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Researchers at the Center for Biomedical Imaging at NYU Langone Health develop transformative imaging technologies to advance basic science and address unsolved clinical problems.

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