Ken Y. Foo

Oct 11, 2024 | biorxiv.org | Jiayue Li |Ken Y. Foo |Renate R. Zilkens |Rowan W Sanderson

AbstractBy mapping the mechanical properties of tissue, elastography can improve identification of breast cancer. On the macro-scale, ultrasound elastography and magnetic resonance elastography have emerged as effective clinical methods for the diagnosis of tumors. On the micro-scale, optical coherence elastography (OCE) shows promise for intraoperative tumor margin assessment during breast-conserving surgery.

Jun 19, 2024 | arxiv.org | Javier Murgoitio-Esandi |Ken Y. Foo |Runze Li |Harisankar Ramaswamy

[Submitted on 19 Jun 2024 ( v1 ), last revised 29 Aug 2024 (this version, v3)] Title:Conditional score-based diffusion models for solving inverse problems in mechanics View a PDF of the paper titled Conditional score-based diffusion models for solving inverse problems in mechanics, by Agnimitra Dasgupta and Harisankar Ramaswamy and Javier Murgoitio-Esandi and Ken Foo and Runze Li and Qifa Zhou and Brendan Kennedy and Assad Oberai View PDF HTML (experimental) Abstract:We propose a framework to...

Apr 13, 2024 | biorxiv.org | Ken Y. Foo |Matt Hepburn |Bryan Shaddy |Javier Murgoitio-Esandi

AbstractTechniques for imaging the mechanical properties of cells are needed to study how cell mechanics influence cell function and disease progression. Mechano-microscopy (a high-resolution variant of compression optical coherence elastography) generates elasticity images of a sample undergoing compression from the phase difference between optical coherence microscopy (OCM) B-scans.