Artifact-free imaging through a bone-like layer by using an ultrasonic-guided photoacoustic microscopy

Chen, Wentian; Tao, Chao; Liu, Xiaojun

doi:10.1364/ol.44.001273

Cited by 11 publications

(7 citation statements)

References 24 publications

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“…Some methods have been reported to reduce the reflection artifacts induced by acoustic reflection layers. [33][34][35][36][37] By mimicking PA wave fields using an US wave, the artifacts of the optical absorbers above the one-layer-reflector are reduced in a PA tomography. [33,34] Convolutional neural network has also been trained to locate both sources and reflection artifacts, and suppress the artifacts in the PA channel data.…”

Section: Introductionmentioning

confidence: 99%

“…[36] Also, our previous work presented an US-guided PAM to reduce the reflection artifacts induced by a bone-like layer. [37] However, the problem of artifacts induced by multilayered media above the optical absorbers in PAM has not been well addressed. Multilayered scattering is still a significant factor that restricts the performance of brain imaging.…”

Section: Introductionmentioning

confidence: 99%

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Non-invasive and low-artifact in vivo brain imaging by using a scanning acoustic-photoacoustic dual mode microscopy

Chen

Tao

et al. 2022

Chinese Phys. B

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Photoacoustic imaging is a potential candidate for in-vivo brain imaging, whereas, its imaging performance could be degraded by inhomogeneous multi-layered media, consisted of scalp and skull. In this work, we propose a low-artifact photoacoustic microscopy (LAPAM) scheme, which combines conventional acoustic-resolution photoacoustic microscopy with scanning acoustic microscopy to suppress the reflection artifacts induced by multi-layers. Based on similar propagation characteristics of photoacoustic signals and ultrasonic echoes, the ultrasonic echoes can be employed as the filters to suppress the reflection artifacts to obtain low-artifact photoacoustic images. Phantom experiment is used to validate the effectiveness of this method. Furthermore, LAPAM is applied for in-vivo imaging mouse brain without removing the scalp and the skull. Experimental results show that the proposed method successfully achieves the low-artifact brain image, which demonstrates the practical applicability of LAPAM. This work might improve the photoacoustic imaging quality in many biomedical applications, which involve tissue with complex acoustic properties, such as brain imaging through scalp and skull.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-invasive and low-artifact in vivo brain imaging by using a scanning acoustic-photoacoustic dual mode microscopy

Chen

Tao

et al. 2022

Chinese Phys. B

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“…The skull bone has much higher acoustic impedance than soft tissue. A severe acoustic impedance mismatch could cause amplitude and phase distortion, and decrease the resolution and contrast of the transcranial imaging, significantly reducing the brain image quality [19][20][21][22]. Traditional approaches to overcome the limitation of acoustic scattering have mostly relied on a priori knowledge of the properties of tissue inhomogeneity or need to involve additional acoustic measurements, evidenced in the statistical reconstruction method [23], coherence factor optimization [24], and the interferometry method [25].…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Photoacoustic Tomography Inside a Scattering Layer Using a Matrix Filtering Method

et al. 2019

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Photoacoustic (PA) tomography (PAT) has potential for use in brain imaging due to its rich optical contrast, high acoustic resolution in deep tissue, and good biosafety. However, the skull often poses challenges for transcranial brain imaging. The skull can cause severe distortion and attenuation of the phase and amplitude of PA waves, which leads to poor resolution, low contrast, and strong noise in the images. In this study, we propose an image reconstruction method to recover the PA image insider a skull-like scattering layer. This method reduces the scattering artifacts by combining a correlation matrix filter and a time reversal operator. Both numerical simulations and PA imaging experiments demonstrate that the proposed approach effectively improves the image quality with less speckle noise and better signal-to-noise ratio. The proposed method may improve the quality of PAT in a complex acoustic scattering environment, such as transcranial brain imaging.

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“…PAM can provide a resolution of micron-scale level with a penetration depth of up to one millimeter (optical-resolution PAM, OR-PAM), [1][2][3][4][5][6][7][8] or a resolution of a few tens or hundreds of microns with a penetration depth of a few millimeters (acoustic-resolution PAM, AR-PAM). [9][10][11][12][13][14] Moreover, PAM has rich optical absorption contrasts and good bio-safety. These merits promise PAM great potentials in biomedical imaging such as in vivo brain monitoring, 9,[15][16][17] cancer detection, 18,19) microvasculature visualization, 5,20) endometriosis imaging, 21) cell imaging, 22,23) oxygen saturation measurement, 2,9,24) and so on.…”

mentioning

confidence: 99%

“…Figure 1 illustrates the experimental setup of AR-PAM, where a spherically focused US transducer (V375-SU, Olympus Corp.) with a central frequency of 30 MHz, a focal length of ∼19 mm, a diameter of 6.3 mm, and a −6 dB bandwidth of 78.3% was used to detect the photoacoustic signals. The imaging system has a lateral resolution of about 180 µm 14) and was used to imaging the phantom made of agar and four hairs in different depths. Due to the low laser energy used in the experiment, the detected photoacoustic signals are weak and noise is relatively strong.…”

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confidence: 99%

Enhancement of photoacoustic microscopy by using a non-negative constrained pulse decomposition method

Dai

Tao

Gao

et al. 2019

Appl. Phys. Express

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According to the physical mechanism of photoacoustic excitation, we demonstrate that the signals detected by a photoacoustic microscopy can be considered as the superposition of a series of pulses with non-negative weight. Based on this factor, we decompose the photoacoustic signals as a series of basis and employ a non-negative constrained least squares criterion to determine their weights. Since the signal components are highly correlated with the basis but noise is not, the process will keep the signal components, but remove the noise and finally enhance the image. Phantom and in vivo animal experiments validate this method.

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Artifact-free imaging through a bone-like layer by using an ultrasonic-guided photoacoustic microscopy

Cited by 11 publications

References 24 publications

Non-invasive and low-artifact in vivo brain imaging by using a scanning acoustic-photoacoustic dual mode microscopy

Non-invasive and low-artifact in vivo brain imaging by using a scanning acoustic-photoacoustic dual mode microscopy

Reconstruction of Photoacoustic Tomography Inside a Scattering Layer Using a Matrix Filtering Method

Enhancement of photoacoustic microscopy by using a non-negative constrained pulse decomposition method

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