The Impulse Response of Negatively Focused Spherical Ultrasound Detectors and Its Effect on Tomographic Optoacoustic Reconstruction

Drozdov, Gilad; Levi, Ahiad; Rosenthal, Amir

doi:10.1109/tmi.2019.2897588

Cited by 7 publications

(6 citation statements)

References 47 publications

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“…This compensation was achieved by experimentally measuring the spatial transfer function and applying it as a multiplicative weighting function in the frequency domain inversion scheme of the acquired RSOM data. Although incorporating the PSF has been shown to successfully improve the quality of reconstructed optoacoustic images 30,46,47 and detector sensitivity fields have been included in reconstruction algorithms to account for negatively focused ultrasound transducers 48,49 , these studies were performed in the time-domain and suffered from long processing times. Here we incorporate the PSF correction factor in the reconstruction problem in the Fourier domain to avoid sacrificing computational time.…”

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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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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“…Alternatively, a joint optimization approach can solve this issue. 36,37 The measured EIR is refined with a variable projection method to recover the optical deposition by exploiting the bi-linearity of the imaging model. 32,33 This approach enables low-cost and adequate compensation for the model mismatch.…”

Section: Model-based Image Reconstructionmentioning

confidence: 99%

“…Later, various methods for numerically compensating for the transducer effects in image reconstruction algorithms were explored. 12,[29][30][31][32][33][34][35][36][37][38] These methods are generally computationally burdensome because of their nature of iterative least-squares minimization. However, incorporating far-field approximation into the forward model can reduce the computational complexity.…”

Section: Introductionmentioning

confidence: 99%

Image reconstruction for endoscopic photoacoustic tomography including effects of detector responses

Sun

2022

Exp Biol Med (Maywood)

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In photoacoustic tomography (PAT), conventional image reconstruction methods are generally based on the assumption of an ideal point-like ultrasonic detector. This assumption is appropriate when the receiving surface of the detector is sufficiently small and/or the distance between the imaged object and the detector is large enough. However, it does not hold in endoscopic applications of PAT. In this study, we propose a model-based image reconstruction method for endoscopic photoacoustic tomography (EPAT), considering the effect of detector responses on image quality. We construct a forward model to physically describe the imaging process of EPAT, including the generation of the initial pressure due to optical absorption and thermoelastic expansion, the propagation of photoacoustic waves in tissues, and the acoustic measurement. The model outputs the theoretical sampling voltage signal, which is the response of the ultrasonic detector to the acoustic pressure reaching its receiving surface. The images representing the distribution map of the optical absorption energy density on cross-sections of the imaged luminal structures are reconstructed from the sampling voltage signals output by the detector through iterative inversion of the forward model. Compared with the conventional approaches based on back-projection and other imaging models, our method improved the quality and spatial resolution of the resulting images.

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“…MB inversion in the time domain is arguably the most accurate approach to account for the finite size and shape of US sensors. [34,35,36] Additionally, the performance of iterative inversion can be enhanced by properly choosing constraints or regularization terms. [37,38,39,40,41,42] However, implementation of this method for the dense grid of voxels required for high-resolution volumetric imaging has remained challenging due to extremely high computational costs, even when considering efficient parallel implementations in graphics processing units (GPUs).…”

Section: Introductionmentioning

confidence: 99%

Broadband Model‐Based Optoacoustic Mesoscopy Enables Deep‐Tissue Imaging beyond the Acoustic Diffraction Limit

Hofmann

Rebling

et al. 2022

Laser & Photonics Reviews

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Optoacoustic mesoscopy (OAM) retrieves anatomical and functional contrast in vivo at depths not resolvable with optical microscopy. Recent progress on reconstruction algorithms have further advanced its imaging performance to provide high lateral resolution ultimately limited by acoustic diffraction. In this work, a new broadband model‐based OAM (MB‐OAM) framework efficiently exploiting scanning symmetries for an enhanced performance is presented. By capitalizing on the large detection bandwidth of a spherical polyvinylidene difluoride film while accurately accounting for its spatial impulse response, the new approach significantly outperforms standard OAM implementations in terms of contrast and resolution, as validated by functional in vivo experiments in mice and human volunteers. Furthermore, L1‐norm regularization enables resolving structures separated by less than the theoretical diffraction‐limited resolution. This unique label‐free angiographic performance demonstrates the general applicability of MB‐OAM as a super‐resolution deep‐tissue imaging method capable of breaking through the limits imposed by acoustic diffraction.

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The Impulse Response of Negatively Focused Spherical Ultrasound Detectors and Its Effect on Tomographic Optoacoustic Reconstruction

Cited by 7 publications

References 47 publications

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

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

Image reconstruction for endoscopic photoacoustic tomography including effects of detector responses

Broadband Model‐Based Optoacoustic Mesoscopy Enables Deep‐Tissue Imaging beyond the Acoustic Diffraction Limit

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