Superresolution of Ultrasound Images Using the 1st and 2nd Harmonic Signal

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F04%3APU37534" target="_blank" >RIV/00216305:26220/04:PU37534 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Superresolution of Ultrasound Images Using the 1st and 2nd Harmonic Signal

Original language description

This paper presents a new method of blind 2-D homomorphic deconvolution and speckle reduction applied to medical ultrasound images. The deconvolution technique is based on an improved 2-D phase unwrapping scheme for pulse estimation. The input images aredecomposed into minimum-phase and allpass components. The 2-D phase unwrapping is applied only to the allpass component. The 2-D phase of the minimum-phase component is derived by a Hilbert transform. The accuracy of 2-D phase unnwrapping is also improved by processing small (16x16 pixels) overlapping subimages separately. This takes the spatial variance of the ultrasound pulse into account. The deconvolution algorithm is applied separately to the 1st and 2nd harmonic images, producing much sharper images of approximately the same resolution and different speckle patterns. Speckle reduction is made by adding the envelope images of the deconvolved 1st and 2nd harmonic images. It does neither decrease the

Czech name

Vysoká rozlišovací schopnost ultrazvukových obrazů pomocí signálu 1. a 2. harmonické

Czech description

This paper presents a new method of blind 2-D homomorphic deconvolution and speckle reduction applied to medical ultrasound images. The deconvolution technique is based on an improved 2-D phase unwrapping scheme for pulse estimation. The input images aredecomposed into minimum-phase and allpass components. The 2-D phase unwrapping is applied only to the allpass component. The 2-D phase of the minimum-phase component is derived by a Hilbert transform. The accuracy of 2-D phase unwrapping is also improveed by processing small (16x16 pixels) overlapping subimages separately. This takes the spatial variance of the ultrasound pulse into account. The deconvolution algorithm is applied separately to the 1st and 2nd harmonic images, producing much sharper images of approximately the same resolution and different speckle patterns. Speckle reduction is made by adding the envelope images of the deconvolved 1st and 2nd harmonic images. It does neither decrease the spatial resolution nor the frame

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/GA102%2F02%2F0890" target="_blank" >GA102/02/0890: Analysis od medical ultrasonographic data aimed at 3D imaging in cardiology</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2004

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

IEEE Transactions on Ultrasonocs, Ferroelectrics, and Frequency Control

ISSN

0885-3010

e-ISSN

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Volume of the periodical

51

Issue of the periodical within the volume

2

Country of publishing house

US - UNITED STATES

Number of pages

13

Pages from-to

163-175

UT code for WoS article

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EID of the result in the Scopus database

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