Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images

Po Hsiang Tsui; Chih Kuang Yeh; Chih Chung Huang

doi:10.1109/TITB.2011.2177851

Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images

Po Hsiang Tsui, Chih Kuang Yeh, Chih Chung Huang

Research output: Contribution to journal › Article › peer-review

19 Citations (Scopus)

Abstract

Ultrasonic Nakagami images can complement conventional B-mode images for scatterer characterization. White noise in anechoic areas leads to artifacts that affect the Nakagami image to characterize tissues. Artifact removal requires rejection of the white noise without deforming the backscattered waveform. This study proposes a noise-assisted correlation algorithm (NCA) and carries out simulations, phantom experiments, and clinical measurements to validate its feasibility and practicality. The simulation results show that the NCA can reject white noise in an anechoic area without any deformation of the backscattered waveforms. The results obtained from phantoms and tissues further demonstrate that the proposed NCA can suppress a Nakagami image artifact without changing the texture of the Nakagami image of the scattering background. The NCA is an essential algorithm to construct artifact-free Nakagami image for correctly reflecting scatterer properties of biological tissues.

Original language	English
Article number	6093969
Pages (from-to)	314-322
Number of pages	9
Journal	IEEE Transactions on Information Technology in Biomedicine
Volume	16
Issue number	3
DOIs	https://doi.org/10.1109/TITB.2011.2177851
Publication status	Published - 2012

All Science Journal Classification (ASJC) codes

Biotechnology
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TITB.2011.2177851

Cite this

@article{5dbcff7e99fb4c399c1e07be55175c62,

title = "Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images",

abstract = "Ultrasonic Nakagami images can complement conventional B-mode images for scatterer characterization. White noise in anechoic areas leads to artifacts that affect the Nakagami image to characterize tissues. Artifact removal requires rejection of the white noise without deforming the backscattered waveform. This study proposes a noise-assisted correlation algorithm (NCA) and carries out simulations, phantom experiments, and clinical measurements to validate its feasibility and practicality. The simulation results show that the NCA can reject white noise in an anechoic area without any deformation of the backscattered waveforms. The results obtained from phantoms and tissues further demonstrate that the proposed NCA can suppress a Nakagami image artifact without changing the texture of the Nakagami image of the scattering background. The NCA is an essential algorithm to construct artifact-free Nakagami image for correctly reflecting scatterer properties of biological tissues.",

author = "Tsui, {Po Hsiang} and Yeh, {Chih Kuang} and Huang, {Chih Chung}",

note = "Funding Information: Manuscript received July 26, 2011; revised November 7, 2011; accepted November 20, 2011. Date of publication December 1, 2011; date of current version May 4, 2012. This work was supported by the National Science Council of the Republic of China (Taiwan) under Grant NSC100-2628-E-182-003-MY2 and Grant NSC99-2218-E-182-009.",

year = "2012",

doi = "10.1109/TITB.2011.2177851",

language = "English",

volume = "16",

pages = "314--322",

journal = "IEEE Transactions on Information Technology in Biomedicine",

issn = "1089-7771",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "3",

}

TY - JOUR

T1 - Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images

AU - Tsui, Po Hsiang

AU - Yeh, Chih Kuang

AU - Huang, Chih Chung

N1 - Funding Information: Manuscript received July 26, 2011; revised November 7, 2011; accepted November 20, 2011. Date of publication December 1, 2011; date of current version May 4, 2012. This work was supported by the National Science Council of the Republic of China (Taiwan) under Grant NSC100-2628-E-182-003-MY2 and Grant NSC99-2218-E-182-009.

PY - 2012

Y1 - 2012

N2 - Ultrasonic Nakagami images can complement conventional B-mode images for scatterer characterization. White noise in anechoic areas leads to artifacts that affect the Nakagami image to characterize tissues. Artifact removal requires rejection of the white noise without deforming the backscattered waveform. This study proposes a noise-assisted correlation algorithm (NCA) and carries out simulations, phantom experiments, and clinical measurements to validate its feasibility and practicality. The simulation results show that the NCA can reject white noise in an anechoic area without any deformation of the backscattered waveforms. The results obtained from phantoms and tissues further demonstrate that the proposed NCA can suppress a Nakagami image artifact without changing the texture of the Nakagami image of the scattering background. The NCA is an essential algorithm to construct artifact-free Nakagami image for correctly reflecting scatterer properties of biological tissues.

AB - Ultrasonic Nakagami images can complement conventional B-mode images for scatterer characterization. White noise in anechoic areas leads to artifacts that affect the Nakagami image to characterize tissues. Artifact removal requires rejection of the white noise without deforming the backscattered waveform. This study proposes a noise-assisted correlation algorithm (NCA) and carries out simulations, phantom experiments, and clinical measurements to validate its feasibility and practicality. The simulation results show that the NCA can reject white noise in an anechoic area without any deformation of the backscattered waveforms. The results obtained from phantoms and tissues further demonstrate that the proposed NCA can suppress a Nakagami image artifact without changing the texture of the Nakagami image of the scattering background. The NCA is an essential algorithm to construct artifact-free Nakagami image for correctly reflecting scatterer properties of biological tissues.

UR - http://www.scopus.com/inward/record.url?scp=84860697132&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84860697132&partnerID=8YFLogxK

U2 - 10.1109/TITB.2011.2177851

DO - 10.1109/TITB.2011.2177851

M3 - Article

C2 - 22155965

AN - SCOPUS:84860697132

SN - 1089-7771

VL - 16

SP - 314

EP - 322

JO - IEEE Transactions on Information Technology in Biomedicine

JF - IEEE Transactions on Information Technology in Biomedicine

IS - 3

M1 - 6093969

ER -

Noise-assisted correlation algorithm for suppressing noise-induced artifacts in ultrasonic Nakagami images

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this