An optimal rotator for iterative reconstruction

Jerold W. Wallis; Tom R. Miller

doi:10.1109/42.552061

An optimal rotator for iterative reconstruction

Jerold W. Wallis, Tom R. Miller

Division of Nuclear Medicine

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

49 Scopus citations

Abstract

For implementations of iterative reconstruction algorithms that rotate the image matrix, the characteristics of the rotator may affect the reconstruction quality. Desirable qualities for the rotator include: 1) preservation of global and local image counts; 2) accurate count positioning; 3) a uniform and predictable amount of blurring due to the rotation. A new rotation method for iterative reconstruction is proposed which employs Gaussian interpolation. This method was compared to standard rotation techniques and is shown to be superior to standard techniques when measured by these qualities. The computational cost was demonstrated to be only slightly more than bilinear interpolation.

Original language	English
Pages (from-to)	118-123
Number of pages	6
Journal	IEEE Transactions on Medical Imaging
Volume	16
Issue number	1
DOIs	https://doi.org/10.1109/42.552061
State	Published - 1997

Keywords

Interpolation
Reconstruction
Rotation
Rotator

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10.1109/42.552061

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title = "An optimal rotator for iterative reconstruction",

abstract = "For implementations of iterative reconstruction algorithms that rotate the image matrix, the characteristics of the rotator may affect the reconstruction quality. Desirable qualities for the rotator include: 1) preservation of global and local image counts; 2) accurate count positioning; 3) a uniform and predictable amount of blurring due to the rotation. A new rotation method for iterative reconstruction is proposed which employs Gaussian interpolation. This method was compared to standard rotation techniques and is shown to be superior to standard techniques when measured by these qualities. The computational cost was demonstrated to be only slightly more than bilinear interpolation.",

keywords = "Interpolation, Reconstruction, Rotation, Rotator",

author = "Wallis, {Jerold W.} and Miller, {Tom R.}",

note = "Funding Information: Manuscript received February 8, 1996; revised October 30, 1996. This work was supported in part by Siemens Medical Systems. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was M. W. Vannier. Asterisk indicates corresponding author. *J. W. Wallis is with the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd., St. Louis, MO 63110 USA (e-mail: [email protected]).",

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N1 - Funding Information: Manuscript received February 8, 1996; revised October 30, 1996. This work was supported in part by Siemens Medical Systems. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was M. W. Vannier. Asterisk indicates corresponding author. *J. W. Wallis is with the Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd., St. Louis, MO 63110 USA (e-mail: [email protected]).

PY - 1997

Y1 - 1997

N2 - For implementations of iterative reconstruction algorithms that rotate the image matrix, the characteristics of the rotator may affect the reconstruction quality. Desirable qualities for the rotator include: 1) preservation of global and local image counts; 2) accurate count positioning; 3) a uniform and predictable amount of blurring due to the rotation. A new rotation method for iterative reconstruction is proposed which employs Gaussian interpolation. This method was compared to standard rotation techniques and is shown to be superior to standard techniques when measured by these qualities. The computational cost was demonstrated to be only slightly more than bilinear interpolation.

AB - For implementations of iterative reconstruction algorithms that rotate the image matrix, the characteristics of the rotator may affect the reconstruction quality. Desirable qualities for the rotator include: 1) preservation of global and local image counts; 2) accurate count positioning; 3) a uniform and predictable amount of blurring due to the rotation. A new rotation method for iterative reconstruction is proposed which employs Gaussian interpolation. This method was compared to standard rotation techniques and is shown to be superior to standard techniques when measured by these qualities. The computational cost was demonstrated to be only slightly more than bilinear interpolation.

KW - Interpolation

KW - Reconstruction

KW - Rotation

KW - Rotator

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An optimal rotator for iterative reconstruction

Abstract

Keywords

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