Inclusion of a priori information in frequency space for quantitative SPECT imaging

Jui Hsi Cheng; Zhengrong Liang; Jian Li; Jinghan Ye; Donald Harrington

Inclusion of a priori information in frequency space for quantitative SPECT imaging

Jui Hsi Cheng
, Zhengrong Liang
, Jian Li
, Jinghan Ye
, Donald Harrington

Radiology

Stony Brook University

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

Abstract

A Wiener filter has been designed for noise suppression in SPECT. To implement this filter, we used a square-root, transform and designed a butterfly window and a weighting window to improve the estimation of the power spectra of the noise, the measurement, and the signal. These two windows were derived based on the frequency distribution of noise-free sinograms. Simulations and experiments were performed using the Hoffman brain phantom. The results show the advantage over the traditional implementation of low pass filter.

Original language	English
Pages	1648-1652
Number of pages	5
State	Published - 1996
Event	Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) - Anaheim, CA, USA Duration: Nov 2 1996 → Nov 9 1996

Conference

Conference	Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3)
City	Anaheim, CA, USA
Period	11/2/96 → 11/9/96

Cite this

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title = "Inclusion of a priori information in frequency space for quantitative SPECT imaging",

abstract = "A Wiener filter has been designed for noise suppression in SPECT. To implement this filter, we used a square-root, transform and designed a butterfly window and a weighting window to improve the estimation of the power spectra of the noise, the measurement, and the signal. These two windows were derived based on the frequency distribution of noise-free sinograms. Simulations and experiments were performed using the Hoffman brain phantom. The results show the advantage over the traditional implementation of low pass filter.",

author = "Cheng, \{Jui Hsi\} and Zhengrong Liang and Jian Li and Jinghan Ye and Donald Harrington",

year = "1996",

language = "English",

pages = "1648--1652",

note = "Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3) ; Conference date: 02-11-1996 Through 09-11-1996",

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TY - CONF

T1 - Inclusion of a priori information in frequency space for quantitative SPECT imaging

AU - Cheng, Jui Hsi

AU - Liang, Zhengrong

AU - Li, Jian

AU - Ye, Jinghan

AU - Harrington, Donald

PY - 1996

Y1 - 1996

N2 - A Wiener filter has been designed for noise suppression in SPECT. To implement this filter, we used a square-root, transform and designed a butterfly window and a weighting window to improve the estimation of the power spectra of the noise, the measurement, and the signal. These two windows were derived based on the frequency distribution of noise-free sinograms. Simulations and experiments were performed using the Hoffman brain phantom. The results show the advantage over the traditional implementation of low pass filter.

AB - A Wiener filter has been designed for noise suppression in SPECT. To implement this filter, we used a square-root, transform and designed a butterfly window and a weighting window to improve the estimation of the power spectra of the noise, the measurement, and the signal. These two windows were derived based on the frequency distribution of noise-free sinograms. Simulations and experiments were performed using the Hoffman brain phantom. The results show the advantage over the traditional implementation of low pass filter.

UR - https://www.scopus.com/pages/publications/0030368158

M3 - Paper

AN - SCOPUS:0030368158

SP - 1648

EP - 1652

T2 - Proceedings of the 1996 IEEE Nuclear Science Symposium. Part 1 (of 3)

Y2 - 2 November 1996 through 9 November 1996

ER -

Inclusion of a priori information in frequency space for quantitative SPECT imaging

Abstract

Conference

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