Contrast enhancement and artifact reduction for projected index computed tomography

Adam M. Zysk; Daniel L. Marks; P. Scott Carney; Stephen A. Boppart

Contrast enhancement and artifact reduction for projected index computed tomography

Adam M. Zysk
, Daniel L. Marks
, P. Scott Carney
, Stephen A. Boppart

Mechanical Engineering

Stony Brook University

University of Illinois at Urbana-Champaign

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The projected index computed tomography (PICT) imaging modality provides a computationally reconstructed image of optical index of refraction that is free from spatial distortions. Current implementation using standard filtered backprojection techniques contain linear artifacts resulting from beam path refraction at boundaries with a significant index change. We present the implementation of a least-squares solution whereby every projection datum is assigned a confidence weight, affecting the magnitude of its inclusion into the reconstructed image. The algorithm is shown to significantly reduce artifacts, hence increasing system sensitivity while maintaining spatial accuracy.

Original language	English
Title of host publication	2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	Macro to Nano
Pages	1099-1102
Number of pages	4
State	Published - 2004
Event	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States Duration: Apr 15 2004 → Apr 18 2004

Publication series

Name	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume	2

Conference

Conference	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Country/Territory	United States
City	Arlington, VA
Period	04/15/04 → 04/18/04

Cite this

@inproceedings{f911d55516d34aa4a1dcfa5e0f62a59b,

title = "Contrast enhancement and artifact reduction for projected index computed tomography",

abstract = "The projected index computed tomography (PICT) imaging modality provides a computationally reconstructed image of optical index of refraction that is free from spatial distortions. Current implementation using standard filtered backprojection techniques contain linear artifacts resulting from beam path refraction at boundaries with a significant index change. We present the implementation of a least-squares solution whereby every projection datum is assigned a confidence weight, affecting the magnitude of its inclusion into the reconstructed image. The algorithm is shown to significantly reduce artifacts, hence increasing system sensitivity while maintaining spatial accuracy.",

author = "Zysk, \{Adam M.\} and Marks, \{Daniel L.\} and Carney, \{P. Scott\} and Boppart, \{Stephen A.\}",

year = "2004",

language = "English",

isbn = "0780383885",

series = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano",

pages = "1099--1102",

booktitle = "2004 2nd IEEE International Symposium on Biomedical Imaging",

note = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano ; Conference date: 15-04-2004 Through 18-04-2004",

}

Zysk, AM, Marks, DL, Carney, PS & Boppart, SA 2004, Contrast enhancement and artifact reduction for projected index computed tomography. in 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, vol. 2, pp. 1099-1102, 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, Arlington, VA, United States, 04/15/04.

Contrast enhancement and artifact reduction for projected index computed tomography. / Zysk, Adam M.; Marks, Daniel L.; Carney, P. Scott et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004. p. 1099-1102 (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Contrast enhancement and artifact reduction for projected index computed tomography

AU - Zysk, Adam M.

AU - Marks, Daniel L.

AU - Carney, P. Scott

AU - Boppart, Stephen A.

PY - 2004

Y1 - 2004

N2 - The projected index computed tomography (PICT) imaging modality provides a computationally reconstructed image of optical index of refraction that is free from spatial distortions. Current implementation using standard filtered backprojection techniques contain linear artifacts resulting from beam path refraction at boundaries with a significant index change. We present the implementation of a least-squares solution whereby every projection datum is assigned a confidence weight, affecting the magnitude of its inclusion into the reconstructed image. The algorithm is shown to significantly reduce artifacts, hence increasing system sensitivity while maintaining spatial accuracy.

AB - The projected index computed tomography (PICT) imaging modality provides a computationally reconstructed image of optical index of refraction that is free from spatial distortions. Current implementation using standard filtered backprojection techniques contain linear artifacts resulting from beam path refraction at boundaries with a significant index change. We present the implementation of a least-squares solution whereby every projection datum is assigned a confidence weight, affecting the magnitude of its inclusion into the reconstructed image. The algorithm is shown to significantly reduce artifacts, hence increasing system sensitivity while maintaining spatial accuracy.

UR - https://www.scopus.com/pages/publications/17144422526

M3 - Conference contribution

SN - 0780383885

SN - 9780780383883

T3 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

SP - 1099

EP - 1102

BT - 2004 2nd IEEE International Symposium on Biomedical Imaging

T2 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

Y2 - 15 April 2004 through 18 April 2004

ER -

Contrast enhancement and artifact reduction for projected index computed tomography

Abstract

Publication series

Conference

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