Automated segmentation of three dimensional sagittal brain MR images by masking and restoration operations

Research output: Contribution to journalConference article

Abstract

In this paper, we present an automated segmentation algorithm for three-dimensional sagittal brain MR images. We start the segmentation from a midsagittal brain MR image utilizing some landmarks, anatomical information and a connectivity-based threshold segmentation algorithm. Since the brain in adjacent slices has a similar size and shape, we propose to use the segmentation result of the midsagittal brain MR image as a mask to guide segmentation of the adjacent slices in lateral direction. The masking operation may truncate some region of the brain. In order to restore the truncated region, we find the end points of the boundary of the truncated region by comparing the boundaries of the mask image and the masked image. Then, we restore the truncated region using the connectivity-based threshold segmentation algorithm with the end points. The resulting segmented image is then used as a mask for the subsequent slice.

Original languageEnglish
Pages (from-to)48-57
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4115
DOIs
Publication statusPublished - 2000 Dec 1

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Masking
masking
Restoration
restoration
brain
Brain
Segmentation
Three-dimensional
Masks
Slice
Mask
masks
End point
Connectivity
Adjacent
Truncate
landmarks
thresholds
Landmarks
Lateral

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Condensed Matter Physics

Cite this

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title = "Automated segmentation of three dimensional sagittal brain MR images by masking and restoration operations",
abstract = "In this paper, we present an automated segmentation algorithm for three-dimensional sagittal brain MR images. We start the segmentation from a midsagittal brain MR image utilizing some landmarks, anatomical information and a connectivity-based threshold segmentation algorithm. Since the brain in adjacent slices has a similar size and shape, we propose to use the segmentation result of the midsagittal brain MR image as a mask to guide segmentation of the adjacent slices in lateral direction. The masking operation may truncate some region of the brain. In order to restore the truncated region, we find the end points of the boundary of the truncated region by comparing the boundaries of the mask image and the masked image. Then, we restore the truncated region using the connectivity-based threshold segmentation algorithm with the end points. The resulting segmented image is then used as a mask for the subsequent slice.",
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