| About this Abstract |
| Meeting |
2022 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Real Time Imaging
|
| Presentation Title |
NOW ON-DEMAND ONLY - Evaluating Cellular-level Inhomogeneity through High-frequency Ultrasound -- A Computational Study |
| Author(s) |
Koushik Paul, Leila Ladani |
| On-Site Speaker (Planned) |
Leila Ladani |
| Abstract Scope |
Ultrasound analysis is a commonly used instantaneous method to analyze tissue pathology. Immediate detection of positive tumor margins can potentially decrease the local recurrence rate of breast cancer. While transmitting through tissues, ultrasound scattering in high frequencies from the cellular level can be evaluated through various response parameters. In this study, a histology-based computational model was developed to assess various breast tumor grades. The tumor grades were specified through malignant cell density and its nucleus diameter. Ultrasound with a frequency range of 22 to 41 MHz was sent through the cell-based model. The transmitted signals frequency spectrum was analyzed by peak density and Mean Peak to Valley Distance (MPVD) parameters. From the full factorial analysis, it was observed that the malignant cell density was more dominant in changing the ultrasound parameters. Peak density and MPVD responded in an increasing and decreasing manner, respectively with increasing malignant cell properties. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Biomaterials, Modeling and Simulation |