Abstract
A deep-learning (DL) model for handheld diffuse optical tomography is presented. The fully convolutional network can reconstruct 3D absorption and scattering from arbitrarily undersampled scan data at a rate of 18.5Hz, enabling real-time imaging.
| Original language | English |
|---|---|
| Title of host publication | Optical Coherence Tomography 2024 |
| Publisher | Optica Publishing Group (formerly OSA) |
| ISBN (Electronic) | 9781957171340 |
| DOIs | |
| Publication status | Published - Apr 2024 |
| Event | Clinical and Translational Biophotonics 2024 - Fort Lauderdale, United States Duration: 7 Apr 2024 → 10 Apr 2024 |
Conference
| Conference | Clinical and Translational Biophotonics 2024 |
|---|---|
| Country/Territory | United States |
| City | Fort Lauderdale |
| Period | 7/04/24 → 10/04/24 |
Bibliographical note
Publisher Copyright:© 2024 The Author(s)
ASJC Scopus subject areas
- Instrumentation
- General Computer Science
- Space and Planetary Science
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics