Abstract
As an innovative optical absorption microscopy technology, Photoacoustic Microscopy (PAM) can provide high-sensitivity and high-resolution image of tissue samples in vivo. For the conventional scanning PAM system, intensive spatial sampling is required to obtain higher-resolution images result in a long acquisition time and high-cost system. Thus, a new PAM data acquisition and image recovery method, called non-uniform sampling PAM based on low rank matrix completion, is proposed in this paper to make low sampling rate and high-resolution PAM image possible. In the system, a non-uniform sampling scheme is utilized to dramatically decrease the total sampling points while keep a relatively high resolution. Besides, the corresponding image recovery problem is perfectly solved by low rank matrix completion. Both numerical and experimental results from real PAM system have shown the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | I2MTC 2016 - 2016 IEEE International Instrumentation and Measurement Technology Conference |
| Subtitle of host publication | Measuring the Pulse of Industries, Nature and Humans, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467392204 |
| DOIs | |
| State | Published - 22 Jul 2016 |
| Event | 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 - Taipei, Taiwan, Province of China Duration: 23 May 2016 → 26 May 2016 |
Publication series
| Name | Conference Record - IEEE Instrumentation and Measurement Technology Conference |
|---|---|
| Volume | 2016-July |
| ISSN (Print) | 1091-5281 |
Conference
| Conference | 2016 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016 |
|---|---|
| Country/Territory | Taiwan, Province of China |
| City | Taipei |
| Period | 23/05/16 → 26/05/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Breast Cancer Detection
- Low Rank Matrix Completion
- Non-uniform Sampling
- Photoacoustic Microscopy
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