Quantitative comparison of frequency-domain and delay-and-sum optoacoustic image reconstruction including the effect of coherence factor weighting

Spadin, Florentin; Jaeger, Michael; Nuster, Robert; Subochev, Pavel; Frenz, Martin

doi:10.1016/j.pacs.2019.100149

Cited by 34 publications

(34 citation statements)

References 27 publications

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“…This is consistent with the observation that the use of the coherence factor weighting does not improve the lateral resolution of an image as stated in Ref. [28]. However, with the help of the coherence factor, the x-artefacts, as well as the background noise could be reduced, which is illustrated by the difference between the two B scans shown in Fig.…”

Section: Resultssupporting

confidence: 92%

“…5(c). We would like to emphasize that the FWHM calculated after the reconstruction method does not provide a direct information about the possible resolution based on the sensor geometry, as it was also pointed out in [28]. Since the microsphere measurements have shown that the FWHM with and without the use of coherence factor weighting hardly changes, we will in the following use the FWHM after the complete reconstruction to interpret the performance of the array.…”

Section: Resultsmentioning

confidence: 96%

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Conical ring array detector for large depth of field photoacoustic macroscopy

Torke¹,

Nuster²,

Paltauf³

2020

Biomed. Opt. Express

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Photoacoustic microscopy and macroscopy (PAM) using focused detector scanning are emerging imaging methods for biological tissue, providing high resolution and high sensitivity for structures with optical absorption contrast. However, achieving a constant lateral resolution over a large depth of field for deeply penetrating photoacoustic macroscopy is still a challenge. In this work, a detector design for scanning photoacoustic macroscopy is presented. Based on simulation results, a sensor array geometry is developed and fabricated that consists of concentric ring elements made of polyvinylidene fluoride (PVDF) film in a geometry that combines a centered planar ring with several inclined outer ring elements. The reconstruction algorithm, which uses dynamic focusing and coherence weighting, is explained and its capability to reduce artefacts occurring for single element conical sensors is demonstrated. Several phantoms are manufactured to evaluate the performance of the array in experimental measurements. The sensor array provides a constant axial and lateral resolution of 95 µm and 285 µm, respectively, over a depth of field of 20 mm. The depth of field corresponds approximately to the maximum imaging depth in biological tissue, estimated from the sensitivity of the array. With its ability to achieve the maximum resolution even with a very small scanning range, the array is believed to have applications in the imaging of limited regions of interest buried in biological tissue.

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Section: Resultssupporting

confidence: 92%

Section: Resultsmentioning

confidence: 96%

Conical ring array detector for large depth of field photoacoustic macroscopy

Torke¹,

Nuster²,

Paltauf³

2020

Biomed. Opt. Express

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“…Reconstruction speeds have been previously accelerated using standard frequency domain reconstruction with experimental optoacoustic data, with a 53 s-reconstruction time for a data size of 200 x 200 x 100 voxels in Fourier domain, compared to nearly 3 hours in time-domain based reconstruction for the same data set 27 , representing a 200-fold faster reconstruction. Recently, Fourier reconstruction times of 0.25 s were reported for B scans with 600 x 751 pixels 44 and of 0.7 s for multi-layer volumetric reconstruction of a 40 x 40 x 2000 voxel-data set 45 . Here we achieve reconstruction times of 6 s for over 40 times larger data sizes than previously demonstrated.…”

Section: Discussionmentioning

confidence: 99%

In Vivo Three-Dimensional Raster Scan Optoacoustic Mesoscopy Using Frequency Domain Inversion

Mustafa

Omar

Prade

et al. 2021

IEEE Trans. Med. Imaging

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Optoacoustic signals are typically reconstructed into images using inversion algorithms applied in the time-domain. However, time-domain reconstructions can be computationally intensive and therefore slow when large amounts of raw data are collected from an optoacoustic scan. Here we consider a fast weighted -(FWOK) algorithm operating in the frequency domain to accelerate the inversion in raster-scan optoacoustic mesoscopy (RSOM), while seamlessly incorporating impulse response correction with minimum computational burden. We investigate the FWOK performance with RSOM measurements from phantoms and mice in vivo and obtained 360-fold speed improvement over inversions based on the back-projection algorithm in the time-domain. This previously unexplored inversion of in vivo optoacoustic data with impulse response correction in frequency domain reconstructions points to a promising strategy of accelerating optoacoustic imaging computations, toward video-rate tomography.

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“…21,[39][40][41][42] Acoustic-resolution OA mesoscopy (AR-OAM -Figure 1D, middle) and OA tomography (OAT -Figure 1F, right) are the methods of choice for imaging deeper tissues. AR-OAM is commonly based on raster scanning of a single broadband focused ultrasound sensor, 24,[43][44][45][46][47] whereas OAT is realized with a parallel detection using ultrasound arrays, typically resulting in high imaging speed but inferior spatial resolution due to narrower bandwidth. [48][49][50][51][52][53][54] High-resolution (bandwidth) measurements in the acoustic-resolution regime however come to the detriment of stronger attenuation of ultrasound at high frequencies, which limits the achievable depth.…”

Section: Lis Tening To the S K In With O P Toacous Ti C Smentioning

confidence: 99%

Optoacoustic imaging of the skin

Deán‐Ben

Razansky

2021

Experimental Dermatology

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Optoacoustic (OA, photoacoustic) imaging capitalizes on the synergistic combination of light excitation and ultrasound detection to empower biological and clinical investigations with rich optical contrast while effectively bridging the gap between micro and macroscopic imaging realms. State-of-the-art OA embodiments consistently provide images at micron-scale resolution through superficial tissue layers by means of focused illumination that can be smoothly exchanged for acoustic-resolution images at diffuse light depths of several millimetres to centimetres via ultrasound beamforming or tomographic reconstruction. Taken together, this unique multi-scale imaging capacity opens unprecedented capabilities for high-resolution in vivo interrogations of the skin at scalable depths. Moreover, diverse anatomical and functional information is retrieved via dynamic mapping of endogenous chromophores such as haemoglobin, melanin, lipids, collagen, water and others. This, along with the use of non-ionizing radiation, facilitates a clinical translation of the OA modalities. We review recent progress in OA imaging of the skin in preclinical and clinical studies exploiting the rich contrast provided by endogenous substances in tissues. The imaging capabilities of existing approaches are discussed in the context of initial translational studies on skin cancer, inflammatory skin diseases, wounds and other conditions.

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Quantitative comparison of frequency-domain and delay-and-sum optoacoustic image reconstruction including the effect of coherence factor weighting

Cited by 34 publications

References 27 publications

Conical ring array detector for large depth of field photoacoustic macroscopy

Conical ring array detector for large depth of field photoacoustic macroscopy

In Vivo Three-Dimensional Raster Scan Optoacoustic Mesoscopy Using Frequency Domain Inversion

Optoacoustic imaging of the skin

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