Spatiospectral denoising framework for multispectral optoacoustic imaging based on sparse signal representation

Tzoumas, Stratis; Rosenthal, Amir; Lutzweiler, Christian; Razansky, Daniel; Ntziachristos, Vasilis

doi:10.1118/1.4893530

Cited by 18 publications

(24 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As with wavelet denoising [15, 20], SVD could also be used to reduce residual noise, for instance by performing a second truncation of the singular value matrix in which diagonal elements of the singular value matrix that are below a certain threshold are zeroed [15–17]. Examples of artifact reduction methods that have recently shown promise include localised vibration tagging [11], short-lag spatial coherence weighting [12, 21,22], and synthetic aperture PA-guided focused US [13].…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition

Hill¹,

Xia²,

Clarkson³

et al. 2016

Biomed. Opt. Express

View full text Add to dashboard Cite

Singular value decomposition (SVD) was used to identify and remove laser-induced noise in photoacoustic images acquired with a clinical ultrasound scanner. This noise, which was prominent in the radiofrequency data acquired in parallel from multiple transducer elements, was induced by the excitation light source. It was modelled by truncating the SVD matrices so that only the first few largest singular value components were retained, and subtracted prior to image reconstruction. The dependency of the signal amplitude and the number of the largest singular value components used for noise modeling was investigated for different photoacoustic source geometries. Validation was performed with simulated data and measured noise, and with photoacoustic images acquired from the human forearm and finger in vivo using L14-5/38 and L40-8/12 linear array clinical imaging probes. The use of only one singular value component was found to be sufficient to achieve near-complete removal of laser-induced noise from reconstructed images. This method has strong potential to increase image quality for a wide range of photoacoustic imaging systems with parallel data acquisition.

show abstract

Section: Discussionmentioning

confidence: 99%

“…Denoising was performed by subtracting the modelled noise from the acquired data matrices. Whereas SVD has been used in previous studies to obtain a sparse representation of the signal [15–17], it was used here to obtain a sparse representation of the noise.…”

Section: Introductionmentioning

confidence: 99%

Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition

Hill¹,

Xia²,

Clarkson³

et al. 2016

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…(6) , various amounts of zero mean white Gaussian random noise were generated and added to the reconstructed PA spectrum. In this study, we used the simple noise model by assuming the frequency response of the transducer is ideally flat as typically adopted in other studies for brevity [ 30 , 31 ]. Here, the standard deviations (STD) of noise ranged from 0.0 to 0.1, which results in a reasonably wide range of the signal-to-noise ratio (SNR) in the PA spectrum (about 10.7 dB to 85.1 dB.…”

Section: Methodsmentioning

confidence: 99%

Impact of depth-dependent optical attenuation on wavelength selection for spectroscopic photoacoustic imaging

Luke

Emelianov

2018

Photoacoustics

View full text Add to dashboard Cite

An optical wavelength selection method based on the stability of the absorption cross-section matrix to improve spectroscopic photoacoustic (sPA) imaging was recently introduced. However, spatially-varying chromophore concentrations cause the wavelength- and depth-dependent variations of the optical fluence, which degrades the accuracy of quantitative sPA imaging. This study introduces a depth-optimized method that determines an optimal wavelength set minimizing an inverse of the multiplication of absorption cross-section matrix and fluence matrix to minimize the errors in concentration estimation. This method assumes that the optical fluence distribution is known or can be attained otherwise. We used a Monte Carlo simulation of light propagation in tissue with various depths and concentrations of deoxy-/oxy-hemoglobin. We quantitatively compared the developed and current approaches, indicating that the choice of wavelength is critical and our approach is effective especially when quantifying deeper imaging targets.

show abstract

“…Although a dual-wavelength acquisition was adapted to discriminate between two absorbers with very different absorption spectra, our approach can easily be extended to a large number of wavelengths. Multi-wavelength un-mixing algorithms have been developed for discrimination between absorbers (50), and can even be used to perform denoising of the PA images (51). Imaging the complex distributions of multiple contrast agents with our system is beyond the scope of this paper, but will be investigated in the near future.…”

Section: Model-based Reconstructions Incorporating the Sir Of The Detmentioning

confidence: 99%

Single-side access, isotropic resolution, and multispectral three-dimensional photoacoustic imaging with rotate-translate scanning of ultrasonic detector array

et al. 2015

View full text Add to dashboard Cite

(200 words).Photoacoustic imaging can achieve high-resolution three-dimensional visualization of optical absorbers at penetration depths ~ 1 cm in biological tissues by detecting optically-induced high ultrasound frequencies. Tomographic acquisition with ultrasound linear arrays offers an easy implementation of single-side access, parallelized and high-frequency detection, but usually comes with an image quality impaired by the directionality of the detectors. Indeed, a simple translation of the array perpendicularly to its median imaging plane is often used, but results both in a poor resolution in the translation direction and in strong limited view artifacts. To improve the spatial resolution and the visibility of complex structures while keeping a planar detection geometry, we introduce, in this paper, a novel rotate-translate scanning scheme, and investigate the performance of a scanner implemented at 15 MHz center frequency. The developed system achieved a quasi-isotropic uniform 3D resolution of ~170 µm over a cubic volume of side length 8.5 mm, i.e. an improvement in the resolution in the translation direction by almost one order of magnitude. Dual wavelength imaging was also demonstrated with ultrafast wavelength shifting. The validity of our approach was shown in vitro. We discuss the ability to enable in vivo imaging for preclinical and clinical studies. Keywords: photoacoustics, ultrasound array, tomography, multispectral.This manuscript has been published as : J Gateau, M Gesnik, JM Chassot, E Bossy; "Single-side access, isotropic resolution, and multispectral three-dimensional photoacoustic imaging with rotate-translate scanning of ultrasonic detector array," J. Biomed. Opt., 20(5), 056004 (2015). The journal version is the definitive version. This manuscript has been published as : J Gateau, M Gesnik, JM Chassot, E Bossy; "Single-side access, isotropic resolution, and multispectral three-dimensional photoacoustic imaging with rotate-translate scanning of ultrasonic detector array," J. Biomed. Opt., 20(5), 056004 (2015). The journal version is the definitive version.3

show abstract

Spatiospectral denoising framework for multispectral optoacoustic imaging based on sparse signal representation

Abstract: The suggested denoising methodology can achieve noise suppression with minimal signal loss and considerably outperforms previously proposed denoising strategies, holding promise for advancing the dynamic capabilities of multispectral optoacoustic imaging while retaining image quality.

Cited by 18 publications

References 40 publications

Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition

Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition

Impact of depth-dependent optical attenuation on wavelength selection for spectroscopic photoacoustic imaging

Single-side access, isotropic resolution, and multispectral three-dimensional photoacoustic imaging with rotate-translate scanning of ultrasonic detector array

Contact Info

Product

Resources

About