期刊
BIOMEDICAL OPTICS EXPRESS
卷 11, 期 5, 页码 2533-2547出版社
OPTICAL SOC AMER
DOI: 10.1364/BOE.387364
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资金
- National Institutes of Health [1R21AG065776-01, 1R21DE029025-01, 3DP2HL137187-01S1]
- National Science Foundation [1842387]
- Division Of Materials Research
- Direct For Mathematical & Physical Scien [1842387] Funding Source: National Science Foundation
There has been growing interest in low-cost light sources such as light-emitting diodes (LEDs) as an excitation source in photoacoustic imaging. However, LED-based photoacoustic imaging is limited by low signal due to low energy per pulse-the signal is easily buried in noise leading to low quality images. Here, we describe a signal dc-noising approach for LED-based photoacoustic signals based on dictionary learning with an alternating direction method of multipliers. This signal enhancement method is then followed by a simple reconstruction approach delay and sum. This approach leads to sparse representation of the main components of the signal. The main improvements of this approach are a 38% higher contrast ratio and a 43% higher axial resolution versus the averaging method but with only 4% of the frames and consequently 49.5% less computational time. This makes it an appropriate option for real-time LED-based photoacoustic imaging. (C) 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
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