Niloufar Saharkhiz
Papers
1
Total Citations
4
H-Index
1
About
Niloufar Saharkhiz is a biomedical engineer whose research centers on advancing ultrasound-based elastography for cancer detection and characterization. Her primary focus is Harmonic Motion Imaging (HMI), a technique that measures tissue stiffness to differentiate between normal and abnormal tissues. Saharkhiz’s major contribution is the translation of HMI from a laboratory tool to a clinical system, as demonstrated in her highly cited 2018 study, "A Harmonic Motion Imaging (HMI) Clinical System for Detection and Characterization of In Vivo Human Breast Masses – Initial Feasibility." This work established the first clinical feasibility of using HMI to assess breast masses in living patients, showing that the technique could reliably measure relative tissue stiffness—a key biomarker for malignancy. With over 4 citations, this paper has laid the groundwork for non-invasive, real-time tumor evaluation. Saharkhiz’s research has the potential to reduce unnecessary biopsies and improve early diagnosis, making her a rising figure in the field of medical imaging and cancer diagnostics.
Research Focus
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Top Papers
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