Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography

Deán‐Ben, Xosé Luís; Buehler, Andreas; Ntziachristos, Vasilis; Razansky, Daniel

doi:10.1109/tmi.2012.2208471

Cited by 190 publications

(146 citation statements)

References 27 publications

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“…It can also be verified that the adjoint operator H † sph is given by (24) where the superscript "*" denotes the complex conjugate. Unlike the unmatched backprojection operators 46 that are obtained by discretization of the continuous adjoint operator, utilization of the exact adjoint operator facilitates the convergence of iterative image reconstruction algorithms.…”

Section: Iib3 Adjoints Of the System Matricesmentioning

confidence: 97%

“…To overcome these limitations, iterative image reconstruction algorithms have been proposed. [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24] Although the optoacoustic wave intrinsically propagates in 3D space, when applying to experimental data, most studies have employed twodimensional (2D) imaging models by making certain assumptions on the transducer responses and/or the object structures. 10,13,15,16,19,25 An important reason is because the computation required for 3D OAT image reconstruction is excessively burdensome.…”

Section: Introductionmentioning

confidence: 99%

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Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units

et al. 2013

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Purpose: Optoacoustic tomography (OAT) is inherently a three-dimensional (3D) inverse problem. However, most studies of OAT image reconstruction still employ two-dimensional imaging models. One important reason is because 3D image reconstruction is computationally burdensome. The aim of this work is to accelerate existing image reconstruction algorithms for 3D OAT by use of parallel programming techniques. Methods: Parallelization strategies are proposed to accelerate a filtered backprojection (FBP) algorithm and two different pairs of projection/backprojection operations that correspond to two different numerical imaging models. The algorithms are designed to fully exploit the parallel computing power of graphics processing units (GPUs). In order to evaluate the parallelization strategies for the projection/backprojection pairs, an iterative image reconstruction algorithm is implemented. Computer simulation and experimental studies are conducted to investigate the computational efficiency and numerical accuracy of the developed algorithms. Results: The GPU implementations improve the computational efficiency by factors of 1000, 125, and 250 for the FBP algorithm and the two pairs of projection/backprojection operators, respectively. Accurate images are reconstructed by use of the FBP and iterative image reconstruction algorithms from both computer-simulated and experimental data. Conclusions: Parallelization strategies for 3D OAT image reconstruction are proposed for the first time. These GPU-based implementations significantly reduce the computational time for 3D image reconstruction, complementing our earlier work on 3D OAT iterative image reconstruction.

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Section: Iib3 Adjoints Of the System Matricesmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units

et al. 2013

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“…Nevertheless, for best quantitative performance in processing of the multispectral data, optoacoustic image reconstruction for the spectrally unmixed images presented here was instead performed offline with a 3D model-based inversion algorithm. 24 In vivo human imaging Human imaging experiments were done in full accordance with work safety regulations of Helmholtz Center Munich. The pulse repetition rate of the laser and the per-pulse energy are selected in a way so that laser safety standards for clinical measurements are fulfilled at all times.…”

Section: Image Reconstruction Methodsmentioning

confidence: 99%

Adding fifth dimension to optoacoustic imaging: volumetric time-resolved spectrally enriched tomography

2014

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Optoacoustics provides a unique set of capabilities for bioimaging, associated with the intrinsic combination of ultrasound-and light-related advantages, such as high spatial and temporal resolution as well as powerful spectrally enriched imaging contrast in biological tissues. We demonstrate here, for the first time, the acquisition, processing and visualization of five-dimensional optoacoustic data, thus offering unparallel imaging capacities among the current bioimaging modalities. The newly discovered performance is enabled by simultaneous volumetric detection and processing of multispectral data and is further showcased here by attaining time-resolved volumetric blood oxygenation maps in deep human vessels and real-time tracking of contrast agent distribution in a murine model in vivo.

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“…PAT data were acquired at the specific excitation wavelengths (see Table S3) with 10 time frames averaging and at 5 scan locations separated by a 1 mm step size for averaging over position. A model-based reconstruction algorithm 48 …”

Section: Photoacoustic Tomography (Pat) Measurements and Calculationsmentioning

confidence: 99%

Photoacoustic molecular rulers based on DNA nanostructures

Joseph

Köehler

Zuehlsdorff

et al. 2017

Preprint

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Molecular rulers that rely on the Förster resonance energy transfer (FRET) mechanism are widely used to investigate dynamic molecular processes that occur on the nanometer scale. However, the capabilities of these fluorescence molecular rulers are fundamentally limited to shallow imaging depths by light scattering in biological samples. Photoacoustic tomography (PAT) has recently emerged as a high resolution modality for in vivo imaging, coupling optical excitation with ultrasound detection. In this paper, we report the capability of PAT to probe distance-dependent FRET at centimeter depths. Using DNA nanotechnology we created several nanostructures with precisely positioned fluorophore-quencher pairs over a range of nanoscale separation distances. PAT of the DNA nanostructures showed distancedependent photoacoustic signal generation and experimentally demonstrated the ability of PAT to reveal the FRET process deep within tissue mimicking phantoms. Further, we experimentally validated these DNA nanostructures as providing a novel and biocompatible strategy to augment the intrinsic photoacoustic signal generation capabilities of small molecule fluorescent dyes.

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Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography

Cited by 190 publications

References 27 publications

Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units

Accelerating image reconstruction in three-dimensional optoacoustic tomography on graphics processing units

Adding fifth dimension to optoacoustic imaging: volumetric time-resolved spectrally enriched tomography

Photoacoustic molecular rulers based on DNA nanostructures

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