A new method for registration-based medical image interpolation

David H. Frakes; Lakshmi P. Dasi; Kerem Pekkan; Hiroumi D. Kitajima; Kartik Sundareswaran; Ajit P. Yoganathan; Mark J.T. Smith

doi:10.1109/TMI.2007.907324

A new method for registration-based medical image interpolation

David H. Frakes, Lakshmi P. Dasi, Kerem Pekkan, Hiroumi D. Kitajima, Kartik Sundareswaran, Ajit P. Yoganathan, Mark J.T. Smith

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

55 Scopus citations

Abstract

A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid interpolation algorithm that selectively accepts displacement field updates in a manner optimized for performance. A cubic interpolator is then applied to pixel intensities correlated by the displacement fields. Special considerations are made for efficiency, interpolation quality, and compression in the implementation of the algorithm. Experimental results show that the new method achieves good quality, while offering dramatic improvement in efficiency relative to the best competing method.

Original language	English (US)
Article number	4359065
Pages (from-to)	370-377
Number of pages	8
Journal	IEEE Transactions on Medical Imaging
Volume	27
Issue number	3
DOIs	https://doi.org/10.1109/TMI.2007.907324
State	Published - Mar 2008
Externally published	Yes

Keywords

Interpolation
Reconstruction
Registration

ASJC Scopus subject areas

Software
Radiological and Ultrasound Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TMI.2007.907324

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title = "A new method for registration-based medical image interpolation",

abstract = "A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid interpolation algorithm that selectively accepts displacement field updates in a manner optimized for performance. A cubic interpolator is then applied to pixel intensities correlated by the displacement fields. Special considerations are made for efficiency, interpolation quality, and compression in the implementation of the algorithm. Experimental results show that the new method achieves good quality, while offering dramatic improvement in efficiency relative to the best competing method.",

keywords = "Interpolation, Reconstruction, Registration",

author = "Frakes, {David H.} and Dasi, {Lakshmi P.} and Kerem Pekkan and Kitajima, {Hiroumi D.} and Kartik Sundareswaran and Yoganathan, {Ajit P.} and Smith, {Mark J.T.}",

note = "Funding Information: Manuscript received November 15, 2005; revised July 5, 2007. This work was supported by the U.S. National Institutes of Health, specifically the National Heart, Lung, and Blood Institute, under Grant R01HL67622. Asterisk indicates corresponding author. *D. H. Frakes is with 4-D Imaging, Inc., Atlanta, GA 30332 USA and with the Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA (e-mail: frakules@mac.com).",

year = "2008",

month = mar,

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language = "English (US)",

volume = "27",

pages = "370--377",

journal = "IEEE Transactions on Medical Imaging",

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T1 - A new method for registration-based medical image interpolation

AU - Frakes, David H.

AU - Dasi, Lakshmi P.

AU - Pekkan, Kerem

AU - Kitajima, Hiroumi D.

AU - Sundareswaran, Kartik

AU - Yoganathan, Ajit P.

AU - Smith, Mark J.T.

N1 - Funding Information: Manuscript received November 15, 2005; revised July 5, 2007. This work was supported by the U.S. National Institutes of Health, specifically the National Heart, Lung, and Blood Institute, under Grant R01HL67622. Asterisk indicates corresponding author. *D. H. Frakes is with 4-D Imaging, Inc., Atlanta, GA 30332 USA and with the Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA (e-mail: frakules@mac.com).

PY - 2008/3

Y1 - 2008/3

N2 - A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid interpolation algorithm that selectively accepts displacement field updates in a manner optimized for performance. A cubic interpolator is then applied to pixel intensities correlated by the displacement fields. Special considerations are made for efficiency, interpolation quality, and compression in the implementation of the algorithm. Experimental results show that the new method achieves good quality, while offering dramatic improvement in efficiency relative to the best competing method.

AB - A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid interpolation algorithm that selectively accepts displacement field updates in a manner optimized for performance. A cubic interpolator is then applied to pixel intensities correlated by the displacement fields. Special considerations are made for efficiency, interpolation quality, and compression in the implementation of the algorithm. Experimental results show that the new method achieves good quality, while offering dramatic improvement in efficiency relative to the best competing method.

KW - Interpolation

KW - Reconstruction

KW - Registration

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A new method for registration-based medical image interpolation

Abstract

Keywords

ASJC Scopus subject areas

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