Three-dimensional interpolation for brain MR images

Research output: Contribution to journalConference article

Abstract

In this paper, we propose a new directional 3-dimensional interpolation algorithm for brain magnetic resonance (MR) images. Typically, brain images consist of a number of two-dimensional images. In order to reconstruct 3 dimensional objects from slices of 2 dimensional images, interpolation operation is required. In most interpolation algorithms in the three-dimensional space, the interpolation operation is performed separately in each coordinate that is orthogonal to each other. However, since the shape of the brain is roughly a sphere, interpolation along these three orthogonal coordinates may result in some information loss, particularly when gradients of pixel values have directions similar to the directions of the coordinates. In order to address this problem, we propose a new directional interpolation algorithm. In the proposed algorithm, we first perform the interpolation along two orthogonal coordinates. Typically, the two orthogonal coordinates would be the coordinates of the two dimensional images. And then, in order to find the best interpolation in the remaining coordinate, we search various directions that are not orthogonal to the two orthogonal coordinates using cost functions. Experiments show promising results.

Original languageEnglish
Pages (from-to)77-84
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4044
Publication statusPublished - 2000 Jan 1
EventHybrid Image and Signal Processing VII - Orlando, FL, USA
Duration: 2000 Apr 252000 Apr 25

Fingerprint

Magnetic Resonance Image
Magnetic resonance
brain
interpolation
magnetic resonance
Brain
Interpolation
Interpolate
Three-dimensional
Image Interpolation
Information Loss
Slice
Cost functions
Cost Function
Pixel
Pixels
pixels
Gradient
costs
gradients

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

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abstract = "In this paper, we propose a new directional 3-dimensional interpolation algorithm for brain magnetic resonance (MR) images. Typically, brain images consist of a number of two-dimensional images. In order to reconstruct 3 dimensional objects from slices of 2 dimensional images, interpolation operation is required. In most interpolation algorithms in the three-dimensional space, the interpolation operation is performed separately in each coordinate that is orthogonal to each other. However, since the shape of the brain is roughly a sphere, interpolation along these three orthogonal coordinates may result in some information loss, particularly when gradients of pixel values have directions similar to the directions of the coordinates. In order to address this problem, we propose a new directional interpolation algorithm. In the proposed algorithm, we first perform the interpolation along two orthogonal coordinates. Typically, the two orthogonal coordinates would be the coordinates of the two dimensional images. And then, in order to find the best interpolation in the remaining coordinate, we search various directions that are not orthogonal to the two orthogonal coordinates using cost functions. Experiments show promising results.",
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Three-dimensional interpolation for brain MR images. / Lee, Chulhee; Shin, Huh; Sohn, Kwang Hoon.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 4044, 01.01.2000, p. 77-84.

Research output: Contribution to journalConference article

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