Acoustical structured illumination for super-resolution ultrasound imaging

Ilovitsh, Tali; Ilovitsh, Asaf; Foiret, Josquin; Fite, Brett Z.; Ferrara, Katherine W.

doi:10.1038/s42003-017-0003-5

Cited by 41 publications

(14 citation statements)

References 42 publications

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“…The proposed physical models for the pulse-echo measurement process and the syntheses of the incident waves provide the flexibility to investigate alternative types of incident waves, e.g. superpositions of multiple individually coded quasi-(d − 1)-spherical waves [108], random focused beams, structured waves [109], and even arbitrary experimentally measured waves. The author is currently investigating the superpositions of multiple individually coded quasi-(d − 1)spherical waves to further decorrelate the pulse echoes.…”

Section: Discussionmentioning

confidence: 99%

Notice of Removal: Random incident sound waves for fast compressed pulse-echo ultrasound imaging

Schiffner

Schmitz

2017

2017 IEEE International Ultrasonics Symposium (IUS)

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Established image recovery methods in fast ultrasound imaging, e.g. delay-and-sum, trade the image quality for the high frame rate. Cutting-edge inverse scattering methods based on compressed sensing (CS) disrupt this tradeoff via a priori information. They iteratively recover a high-quality image from only a few sequential pulse-echo measurements or less echo signals, if (i) a known dictionary of structural building blocks represents the image almost sparsely, and (ii) their individual pulse echoes, which are predicted by a linear model, are sufficiently uncorrelated. The exclusive modeling of the incident waves as steered plane waves or cylindrical waves, however, has so far limited the convergence speed, the image quality, and the potential to meet condition (ii).Motivated by the benefits of randomness in CS, a novel method for the fast compressed acquisition and the subsequent recovery of images is proposed to overcome these limitations. It recovers the spatial compressibility fluctuations in weakly-scattering soft tissue structures, where an orthonormal basis meets condition (i), by a sparsity-promoting ℓq-minimization method, q ∈ [0; 1]. A realistic d-dimensional model, d ∈ {2, 3}, accounting for diffraction, single monopole scattering, the combination of powerlaw absorption and dispersion, and the specifications of a planar transducer array, predicts the pulse echoes of the individual basis functions. Three innovative types of incident waves, whose syntheses leverage random apodization weights, time delays, or combinations thereof, aid in meeting condition (ii).In two-dimensional numerical simulations, single realizations of these waves outperform the prevalent quasi-plane wave for both the canonical and the Fourier bases. They significantly decorrelate the pulse echoes, e.g. they reduce the full extents at half maximum of the point spread functions by up to 73.7 %. For a tissue-mimicking phantom and q ∈ {1, 0.5}, they improve the convergence speed and the image quality in terms of the mean structural similarity indices and the relative root meansquared errors by up to {2.7 %, 22.9 %}, {44.1 %, 55.5 %}, and {42 %, 60.5 %}, respectively.Index Terms-random incident waves, inverse scattering, compressed sensing, sparse regularization, ultrafast ultrasound imaging, computational ultrasound imaging, fast multipole method, GPU computing

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Section: Discussionmentioning

confidence: 99%

Notice of Removal: Random incident sound waves for fast compressed pulse-echo ultrasound imaging

Schiffner

Schmitz

2017

2017 IEEE International Ultrasonics Symposium (IUS)

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“…Depending on the desired image fidelity, this in turn places a substantial lower bound on the acquisition time, typically being on the order of minutes Dencks et al 2018Dencks et al , 2019Hingot et al 2019). By introducing other trade-offs, super-resolution ultrasound can be performed faster through different strategies exploiting structured illumination (Ilovitsh et al 2018) or the signal structure.…”

Section: Super-resolution Ultrasound Without Localizationmentioning

confidence: 99%

Super-resolution Ultrasound Imaging

Christensen-Jeffries¹,

Couture²,

Dayton³

et al. 2020

Ultrasound in Medicine & Biology

315

173

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The majority of exchanges of oxygen and nutrients are performed around vessels smaller than 100 mm, allowing cells to thrive everywhere in the body. Pathologies such as cancer, diabetes and arteriosclerosis can profoundly alter the microvasculature. Unfortunately, medical imaging modalities only provide indirect observation at this scale. Inspired by optical microscopy, ultrasound localization microscopy has bypassed the classic compromise between penetration and resolution in ultrasonic imaging. By localization of individual injected microbubbles and tracking of their displacement with a subwavelength resolution, vascular and velocity maps can be produced at the scale of the micrometer. Super-resolution ultrasound has also been performed through signal fluctuations with the same type of contrast agents, or through switching on and off nano-sized phase-change contrast agents. These techniques are now being applied pre-clinically and clinically for imaging of the microvasculature of the brain, kidney, skin, tumors and lymph nodes.

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“…For instance, Clement et al [56] described an experiment where known single wires could be measured with a thickness much smaller than the wavelength. An approach exploiting the Moiré effect from multiple ultrasonic beam was also introduced as acoustical structured illumination by Ilovitsch et al [57]. With multiple emissions of shifted patterns, they were able to improve the resolution of the image by a factor of 2.…”

Section: A Better Resolved Ultrasoundmentioning

confidence: 99%

Ultrasound Localization Microscopy and Super-Resolution: A State of the Art

Couture

Hingot

Heiles

et al. 2018

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

249

140

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Because it drives the compromise between resolution and penetration, the diffraction limit has long represented an unreachable summit to conquer in ultrasound imaging. Within a few years after the introduction of optical localization microscopy, we proposed its acoustic alter ego that exploits the micrometric localization of microbubble contrast agents to reconstruct the finest vessels in the body in-depth. Various groups now working on the subject are optimizing the localization precision, microbubble separation, acquisition time, tracking, and velocimetry to improve the capacity of ultrasound localization microscopy (ULM) to detect and distinguish vessels much smaller than the wavelength. It has since been used in vivo in the brain, the kidney, and tumors. In the clinic, ULM is bound to improve drastically our vision of the microvasculature, which could revolutionize the diagnosis of cancer, arteriosclerosis, stroke, and diabetes.

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Acoustical structured illumination for super-resolution ultrasound imaging

Cited by 41 publications

References 42 publications

Notice of Removal: Random incident sound waves for fast compressed pulse-echo ultrasound imaging

Notice of Removal: Random incident sound waves for fast compressed pulse-echo ultrasound imaging

Super-resolution Ultrasound Imaging

Ultrasound Localization Microscopy and Super-Resolution: A State of the Art

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