Publication detail

Two-dimensional blind iterative deconvolution of medical ultrasound images

JIŘÍK, R. TAXT, T.

Original Title

Two-dimensional blind iterative deconvolution of medical ultrasound images

Type

conference paper

Language

English

Original Abstract

The paper presents a new approach to two-dimensional (2-D) blind deconvolution of ultrasonic images. Homomorphic deconvolution, so far the most successful method in this field, is based on the assumption %The most successful methods, based on homomorphic filtering, assume that the point spread function (PSF) and the tissue signal lie in different bands of the cepstrum domain, which is not completely true. Furthermore, 2-D phase unwrapping is necessary in 2-D homomorphic mapping, which is an ill-posed and noise-sensitive problem. Here, both limitations are avoided using blind iterative deconvolution, namely Van Cittert algorithm with reblurring. Simplified homomorphic deconvolution is used only for initial estimation. The algorithm is applied to the whole radiofrequency image, meaning that only the global spatially invariant component of the PSF is removed. Tests on synthetic and clinical images have shown that the deconvolution gives stable results of clearly higher spatial resolution and better defined tissue structures than in the input images.

Keywords

Medical Ultrasound Imaging, Image Restoration, Itreative Blind Deconvolution, Homomorphic Deconvolution

Authors

JIŘÍK, R.; TAXT, T.

RIV year

2005

Released

1. 1. 2005

Publisher

IEEE UFFC

Location

Piscataway, USA

ISBN

0-7803-8413-X

Book

Proceedings of 2004 IEEE Ultrasonics Symposium

Pages from

1262

Pages to

1265

Pages count

4

BibTex

@inproceedings{BUT15152,
  author="Radovan {Jiřík} and Torfinn {Taxt}",
  title="Two-dimensional blind iterative deconvolution of medical ultrasound images",
  booktitle="Proceedings of 2004 IEEE Ultrasonics Symposium",
  year="2005",
  pages="1262--1265",
  publisher="IEEE UFFC",
  address="Piscataway, USA",
  isbn="0-7803-8413-X"
}