Imaging beyond ultrasonically-impenetrable objects

Tali Ilovitsh, Asaf Ilovitsh, Josquin Foiret, Katherine W. Ferrara

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Ultrasound images are severely degraded by the presence of obstacles such as bones and air gaps along the beam path. This paper describes a method for imaging structures that are distal to obstacles that are otherwise impenetrable to ultrasound. The method uses an optically-inspired holographic algorithm to beam-shape the emitted ultrasound field in order to bypass the obstacle and place the beam focus beyond the obstruction. The resulting performance depends on the transducer aperture, the size and position of the obstacle, and the position of the target. Improvement compared to standard ultrasound imaging is significant for obstacles for which the width is larger than one fourth of the transducer aperture and the depth is within a few centimeters of the transducer. For such cases, the improvement in focal intensity at the location of the target reaches 30-fold, and the improvement in peak-to-side-lobe ratio reaches 3-fold. The method can be implemented in conventional ultrasound systems, and the entire process can be performed in real time. This method has applications in the fields of cancer detection, abdominal imaging, imaging of vertebral structure and ultrasound tomography. Here, its effectiveness is demonstrated using wire targets, tissue mimicking phantoms and an ex vivo biological sample.

Original languageEnglish
Article number5759
JournalScientific Reports
Volume8
Issue number1
DOIs
StatePublished - 10 Apr 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 The Author(s).

Funding

This work was supported by the National Institutes of Health (NIHR01CA112356, NIHR01CA199658, NIHR01CA211602, NIHR01CA210553, and NIHR01CA134659). The authors appreciate the contributions of Susannah Bloch to the manuscript.

FundersFunder number
National Institutes of HealthNIHR01CA134659, NIHR01CA112356, NIHR01CA199658, NIHR01CA211602
National Cancer InstituteR01CA210553

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