Publication detail

Regularized Image Reconstruction for Ultrasound Attenuation Transmission Tomography

PETERLÍK, I. JIŘÍK, R. RUITER, N. JAN, J.

Original Title

Regularized Image Reconstruction for Ultrasound Attenuation Transmission Tomography

Czech Title

Regularizovaná rekonstrukce obrazů pro útlumovou průzvučnou ultrazvukovou tomografii

English Title

Regularized Image Reconstruction for Ultrasound Attenuation Transmission Tomography

Type

journal article

Language

en

Original Abstract

The paper is focused on ultrasonic transmission tomography as a potential medical imaging modality, namely for breast cancer diagnosis. Ultrasound attenuation coefficient is one of the tissue parameters which are related to the pathological tissue state. A technique to reconstruct images of attenuation distribution is presented. Furthermore, an alternative to the commonly used filtered backprojection or algebraic reconstruction techniques is proposed. It is based on regularization of the image reconstruction problem which imposes smoothness in the resulting images while preserving edges. The approach is analyzed on synthetic data sets. The results show that it stabilizes the image restoration by compensating for main sources of estimation errors in this imaging modality.

Czech abstract

Regularizace rekonstrukce obrazů z projekcí aplikovaná v průzvučné ultrazvukové tomografii.

English abstract

The paper is focused on ultrasonic transmission tomography as a potential medical imaging modality, namely for breast cancer diagnosis. Ultrasound attenuation coefficient is one of the tissue parameters which are related to the pathological tissue state. A technique to reconstruct images of attenuation distribution is presented. Furthermore, an alternative to the commonly used filtered backprojection or algebraic reconstruction techniques is proposed. It is based on regularization of the image reconstruction problem which imposes smoothness in the resulting images while preserving edges. The approach is analyzed on synthetic data sets. The results show that it stabilizes the image restoration by compensating for main sources of estimation errors in this imaging modality.

Keywords

Ultrasonography ,transmission tomography, attenuation coefficient

RIV year

2008

Released

01.01.2008

Pages from

125

Pages to

132

Pages count

8

BibTex


@article{BUT48774,
  author="Igor {Peterlík} and Radovan {Jiřík} and Nicole {Ruiter} and Jiří {Jan}",
  title="Regularized Image Reconstruction for Ultrasound Attenuation Transmission Tomography",
  annote="The paper is focused on ultrasonic transmission
tomography as a potential medical imaging modality,
namely for breast cancer diagnosis. Ultrasound attenuation
coefficient is one of the tissue parameters which are related
to the pathological tissue state. A technique to reconstruct
images of attenuation distribution is presented. Furthermore,
an alternative to the commonly used filtered backprojection
or algebraic reconstruction techniques is proposed.
It is based on regularization of the image reconstruction
problem which imposes smoothness in the resulting images
while preserving edges. The approach is analyzed on synthetic
data sets. The results show that it stabilizes the image
restoration by compensating for main sources of estimation
errors in this imaging modality.",
  chapter="48774",
  journal="Radioengineering",
  number="2",
  volume="12",
  year="2008",
  month="january",
  pages="125--132",
  type="journal article"
}