Microbubble ultrasound super-localization imaging (MUSLI)

Couture, Olivier; Besson, Benoit; Montaldo, Gabriel; Fink, Mathias; Tanter, Mickaël

doi:10.1109/ultsym.2011.6293576

Cited by 110 publications

(112 citation statements)

References 3 publications

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“…Using conventional B-mode or contrast-enhanced US (CEUS) imaging at clinical frequencies, subwavelength structures, such as the microvasculature, cannot be resolved due to the fundamental diffraction limit. This limit can, however, be overcome by the method of US super-resolution (SR) techniques, such as US localization microscopy [1], where the final image is formed by localizing spatially isolated microbubbles (MBs) through multiple acquired frames. Viessmann et al [2] demonstrated that it is possible to spatially resolve two touching 200-μm internal diameter tubes using an unmodified clinical CEUS system operating 2 MHz.…”

Section: Introductionmentioning

confidence: 99%

Two-Stage Motion Correction for Super-Resolution Ultrasound Imaging in Human Lower Limb

Harput

Christensen-Jeffries

Brown

et al. 2018

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

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The structure of microvasculature cannot be resolved using conventional ultrasound (US) imaging due to the fundamental diffraction limit at clinical US frequencies. It is possible to overcome this resolution limitation by localizing individual microbubbles through multiple frames and forming a superresolved image, which usually requires seconds to minutes of acquisition. Over this time interval, motion is inevitable and tissue movement is typically a combination of large- and small-scale tissue translation and deformation. Therefore, super-resolution (SR) imaging is prone to motion artifacts as other imaging modalities based on multiple acquisitions are. This paper investigates the feasibility of a two-stage motion estimation method, which is a combination of affine and nonrigid estimation, for SR US imaging. First, the motion correction accuracy of the proposed method is evaluated using simulations with increasing complexity of motion. A mean absolute error of 12.2 was achieved in simulations for the worst-case scenario. The motion correction algorithm was then applied to a clinical data set to demonstrate its potential to enable in vivo SR US imaging in the presence of patient motion. The size of the identified microvessels from the clinical SR images was measured to assess the feasibility of the two-stage motion correction method, which reduced the width of the motion-blurred microvessels to approximately 1.5-fold.

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Section: Introductionmentioning

confidence: 99%

Two-Stage Motion Correction for Super-Resolution Ultrasound Imaging in Human Lower Limb

Harput

Christensen-Jeffries

Brown

et al. 2018

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

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“…By using this knowledge, O'Reilly and Hynynen have been able to obtain high resolution transcranial images of vascular structure [18], [19] that were of similar quality to those acquired by micro-CT. Further, in-vivo imaging of the mouse ear microvasculature with 5-fold resolution gains have been demonstrated by Christensen-Jeffries et al with the additional feature of a super-resolution velocity map [20]. Couture et al demonstrated the ultrasound equivalent of optical localization microscopy, Microbubble Ultrasound Super-Localization Imaging (MUSLI), which can achieve individual MB lateral localization with up to λ/38 accuracy [21], [22]. Similarly, Desailly et al presented the analog of fluorescence PALM (f-PALM) in ultrasound imaging, ultrafast Ultrasound Localization Microscopy (uULM) [23], [24].…”

Section: Introductionmentioning

confidence: 99%

Super-Resolution Axial Localization of Ultrasound Scatter Using Multi-Focal Imaging

Diamantis

Greenaway

Anderson

et al. 2018

IEEE Trans. Biomed. Eng.

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“…The use of ultrasound contrast microbubbles to break the diffraction limit of ultrasound and realize super-resolved microvessel imaging has recently been demonstrated in multiple studies [1–8]. Among these studies, Errico et al .…”

Section: Introductionmentioning

confidence: 99%

Improved Super-Resolution Ultrasound Microvessel Imaging With Spatiotemporal Nonlocal Means Filtering and Bipartite Graph-Based Microbubble Tracking

Song

Trzasko

Manduca

et al. 2018

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

207

210

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Super-resolution ultrasound microvessel imaging with contrast microbubbles has recently been proposed by multiple studies, demonstrating outstanding resolution with high potential for clinical applications. This study aims at addressing the potential noise issue in in vivo human super-resolution imaging with ultrafast plane wave imaging. The rich spatiotemporal information provided by ultrafast imaging presents features that allow microbubble signals to be separated from background noise. In addition, the high frame rate recording of microbubble data enables the implementation of robust tracking algorithms commonly used in particle tracking velocimetry. In this study, we applied the nonlocal means (NLM) denoising filter on the spatiotemporal domain of the microbubble data to preserve the microbubble tracks caused by microbubble movement and suppress random background noise. We then implemented a bipartite graph-based pairing method with the use of persistence control to further improve the microbubble signal quality and microbubble tracking fidelity. In an in vivo rabbit kidney perfusion study, the NLM filter showed effective noise rejection and substantially improved microbubble localization. The bipartite graph pairing and persistence control demonstrated further noise reduction, improved microvessel delineation and a more consistent microvessel blood flow speed measurement. With the proposed methods and freehand scanning on a free-breathing rabbit, a single microvessel cross-section profile with full width at half maximum of 57 μm could be imaged at approximately 2 cm depth (ultrasound transmit center frequency = 8 MHz, theoretical spatial resolution ~200 μm). Cortical microvessels that are 76 μm apart can also be clearly separated. These results suggest that the proposed methods have good potential in facilitating robust in vivo clinical super-resolution microvessel imaging.

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Microbubble ultrasound super-localization imaging (MUSLI)

Cited by 110 publications

References 3 publications

Two-Stage Motion Correction for Super-Resolution Ultrasound Imaging in Human Lower Limb

Two-Stage Motion Correction for Super-Resolution Ultrasound Imaging in Human Lower Limb

Super-Resolution Axial Localization of Ultrasound Scatter Using Multi-Focal Imaging

Improved Super-Resolution Ultrasound Microvessel Imaging With Spatiotemporal Nonlocal Means Filtering and Bipartite Graph-Based Microbubble Tracking

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