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Rotational-invariant speckle-scanning ultrasonography through thick bones
- Source :
- Scientific Reports, Vol 11, Iss 1, Pp 1-6 (2021), Scientific Reports
- Publication Year :
- 2021
- Publisher :
- Nature Portfolio, 2021.
-
Abstract
- Ultrasonography is a major medical imaging technique that has been broadly applied in many disease diagnoses. However, due to strong aberration and scattering in the human skull, high-resolution transcranial ultrasonic imaging remains a grand challenge. Here, we explore the rotational-invariant property of ultrasonic speckle and develop high-resolution speckle-scanning ultrasonography to image sub-millimeter-sized features through thick bones. We experimentally validate the rotational invariance of ultrasonic speckle. Based on this property, we scan a random ultrasonic speckle pattern across an object sandwiched between two thick bones so that the object features can be encoded to the ultrasonic waves. After receiving the transmitted ultrasonic waves, we reconstruct the image of the object using an iterative phase retrieval algorithm. We successfully demonstrate imaging of hole and tube features sized as fine as several hundreds of microns between two 0.5 ~ 1-cm-thick bones. With 2.5-MHz excitation and the third-harmonic detection, we measure the spatial resolution as 352 µm. Rotational-invariant speckle-scanning ultrasonography offers a new approach to image through thick bones and paves an avenue towards high-resolution ultrasonic imaging of the human brain.
- Subjects :
- Materials science
Science
01 natural sciences
Bone and Bones
Article
030218 nuclear medicine & medical imaging
03 medical and health sciences
Speckle pattern
0302 clinical medicine
Optics
0103 physical sciences
Medical imaging
Humans
Invariant (mathematics)
010306 general physics
Image resolution
Ultrasonography
Multidisciplinary
business.industry
Scattering
Skull
Image Enhancement
Applied physics
Rotational invariance
Medicine
Ultrasonic sensor
business
Phase retrieval
Biomedical engineering
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 11
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....7a0506ca7b1a9ccaf24615c1d38b198d