Photoacoustic imaging of human inflammatory arthritis

Wang, X.; Jo, Janggun; Xu, Guan; Marquardt, April; Francis, Sheeja V.; Girish, Gandikota; Yuan, Jie

doi:10.1109/ultsym.2015.0394

Cited by 1 publication

(2 citation statements)

References 19 publications

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“…The skin signal (a 9 ) caused by the melanin is evident as a bright line at z = 15 mm. Three bright features (a 10 , a 11 , and a 12 ) are visible just underneath the skin signal, which may be three superficial blood vessels. Apart from these, the PA image contains plenty of diffuse features (a 1 to a 8 ) just below the skin and deeper inside the tissue.…”

Section: In Vivo Measurements On Human Forearmmentioning

confidence: 99%

“…PA imaging holds promise in functional imaging of the vasculature [3], in particular for differentiating oxygen levels based on the different optical absorption characteristics of oxy and deoxy-hemoglobin [4][5][6][7]. This technique has potential to diagnose vascular diseases, inflammations and cancer at an early stage [8][9][10][11][12], and for monitoring the disease response to specific medications/treatments [13]. In addition to the tissue chromophores, external contrast agents functionalized for specific biochemical targets hold potential in early detection of diseases [14].…”

Section: Introductionmentioning

confidence: 99%

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In vivo demonstration of reflection artifact reduction in photoacoustic imaging using synthetic aperture photoacoustic-guided focused ultrasound (PAFUSion)

Singh

Jaeger

Frenz

et al. 2016

Biomed. Opt. Express

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Reflection artifacts caused by acoustic inhomogeneities are a critical problem in epi-mode biomedical photoacoustic imaging. High light fluence beneath the probe results in photoacoustic transients, which propagate into the tissue and reflect back from echogenic structures. These reflection artifacts cause problems in image interpretation and significantly impact the contrast and imaging depth. We recently proposed a method called PAFUSion (Photoacoustic-guided focused ultrasound) to identify such reflection artifacts in photoacoustic imaging. In its initial version, PAFUSion mimics the inward-travelling wavefield from small blood vessel-like PA sources by applying ultrasound pulses focused towards these sources, and thus provides a way to identify the resulting reflection artifacts. In this work, we demonstrate reduction of reflection artifacts in phantoms and in vivo measurements on human volunteers. In view of the spatially distributed PA sources that are found in clinical applications, we implemented an improved version of PAFUSion where photoacoustic signals are backpropagated to imitate the inward travelling wavefield and thus the reflection artifacts. The backpropagation is performed in a synthetic way based on the pulse-echo acquisitions after transmission on each single element of the transducer array. The results provide a direct confirmation that reflection artifacts are prominent in clinical epiphotoacoustic imaging, and that PAFUSion can strongly reduce these artifacts to improve deep-tissue photoacoustic imaging.

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Section: In Vivo Measurements On Human Forearmmentioning

confidence: 99%