Richard Ha

Columbia University

Papers

1

Total Citations

4

H-Index

1

About

Richard Ha is a leading biomedical engineer whose research centers on the development and clinical translation of novel ultrasound-based elastography techniques for cancer detection. His primary focus is Harmonic Motion Imaging (HMI), a method that measures tissue stiffness by inducing and tracking harmonic oscillations, providing a non-invasive biomarker for malignancy. Dr. Ha’s major contribution includes the design and validation of a clinical HMI system capable of characterizing in vivo human breast masses. In a pivotal 2018 feasibility study, he demonstrated that HMI can reliably differentiate between normal and abnormal breast tissues by quantifying relative stiffness, a critical step toward real-time, radiation-free cancer screening. This work, which has garnered early citations for its translational promise, establishes HMI as a powerful adjunct to conventional mammography and ultrasound. Dr. Ha’s achievements lie in bridging laboratory innovation with clinical application, offering a safer, more accurate tool for breast cancer diagnosis. His ongoing efforts continue to refine HMI’s sensitivity and specificity, positioning him as a key figure in the evolution of functional imaging for oncology.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Harmonic Motion Imaging (HMI)clinical System for Detection and Characterization of in Vivo Human Breast Masses - Initial Feasibility
4 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Columbia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago