A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images

Haoyan GUO; Changyong GUO; Yuanzhi CHENG; Shinichi TAMURA

doi:10.1587/transinf.2014EDP7205

A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images

Haoyan GUO, Changyong GUO, Yuanzhi CHENG, Shinichi TAMURA

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Summary :

To determine the thickness from MR images, segmentation, that is, boundary detection, of the two adjacent thin structures (e.g., femoral cartilage and acetabular cartilage in the hip joint) is needed before thickness determination. Traditional techniques such as zero-crossings of the second derivatives are not suitable for the detection of these boundaries. A theoretical simulation analysis reveals that the zero-crossing method yields considerable biases in boundary detection and thickness measurement of the two adjacent thin structures from MR images. This paper studies the accurate detection of hip cartilage boundaries in the image plane, and a new method based on a model of the MR imaging process is proposed for this application. Based on the newly developed model, a hip cartilage boundary detection algorithm is developed. The in-plane thickness is computed based on the boundaries detected using the proposed algorithm. In order to correct the image plane thickness for overestimation due to oblique slicing, a three-dimensional (3-D) thickness computation approach is introduced. Experimental results show that the thickness measurement obtained by the new thickness computation approach is more accurate than that obtained by the existing thickness computation approaches.

Publication: IEICE TRANSACTIONS on Information Vol.E98-D No.2 pp.412-428

Publication Date: 2015/02/01

Publicized: 2014/10/29

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2014EDP7205

Type of Manuscript: PAPER

Category: Biological Engineering

Authors

Haoyan GUO
  Harbin Institute of Technology
Changyong GUO
  Harbin Institute of Technology
Yuanzhi CHENG
  Harbin Institute of Technology
Shinichi TAMURA
  Osaka University

Keyword

boundary detection, cartilage, magnetic resonance imaging, osteoarthritis, segmentation

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Haoyan GUO, Changyong GUO, Yuanzhi CHENG, Shinichi TAMURA, "A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images" in IEICE TRANSACTIONS on Information, vol. E98-D, no. 2, pp. 412-428, February 2015, doi: 10.1587/transinf.2014EDP7205.
Abstract: To determine the thickness from MR images, segmentation, that is, boundary detection, of the two adjacent thin structures (e.g., femoral cartilage and acetabular cartilage in the hip joint) is needed before thickness determination. Traditional techniques such as zero-crossings of the second derivatives are not suitable for the detection of these boundaries. A theoretical simulation analysis reveals that the zero-crossing method yields considerable biases in boundary detection and thickness measurement of the two adjacent thin structures from MR images. This paper studies the accurate detection of hip cartilage boundaries in the image plane, and a new method based on a model of the MR imaging process is proposed for this application. Based on the newly developed model, a hip cartilage boundary detection algorithm is developed. The in-plane thickness is computed based on the boundaries detected using the proposed algorithm. In order to correct the image plane thickness for overestimation due to oblique slicing, a three-dimensional (3-D) thickness computation approach is introduced. Experimental results show that the thickness measurement obtained by the new thickness computation approach is more accurate than that obtained by the existing thickness computation approaches.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.2014EDP7205/_p

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@ARTICLE{e98-d_2_412,
author={Haoyan GUO, Changyong GUO, Yuanzhi CHENG, Shinichi TAMURA, },
journal={IEICE TRANSACTIONS on Information},
title={A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images},
year={2015},
volume={E98-D},
number={2},
pages={412-428},
abstract={To determine the thickness from MR images, segmentation, that is, boundary detection, of the two adjacent thin structures (e.g., femoral cartilage and acetabular cartilage in the hip joint) is needed before thickness determination. Traditional techniques such as zero-crossings of the second derivatives are not suitable for the detection of these boundaries. A theoretical simulation analysis reveals that the zero-crossing method yields considerable biases in boundary detection and thickness measurement of the two adjacent thin structures from MR images. This paper studies the accurate detection of hip cartilage boundaries in the image plane, and a new method based on a model of the MR imaging process is proposed for this application. Based on the newly developed model, a hip cartilage boundary detection algorithm is developed. The in-plane thickness is computed based on the boundaries detected using the proposed algorithm. In order to correct the image plane thickness for overestimation due to oblique slicing, a three-dimensional (3-D) thickness computation approach is introduced. Experimental results show that the thickness measurement obtained by the new thickness computation approach is more accurate than that obtained by the existing thickness computation approaches.},
keywords={},
doi={10.1587/transinf.2014EDP7205},
ISSN={1745-1361},
month={February},}

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TY - JOUR
TI - A Novel Method for Boundary Detection and Thickness Measurement of Two Adjacent Thin Structures from 3-D MR Images
T2 - IEICE TRANSACTIONS on Information
SP - 412
EP - 428
AU - Haoyan GUO
AU - Changyong GUO
AU - Yuanzhi CHENG
AU - Shinichi TAMURA
PY - 2015
DO - 10.1587/transinf.2014EDP7205
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2015
AB - To determine the thickness from MR images, segmentation, that is, boundary detection, of the two adjacent thin structures (e.g., femoral cartilage and acetabular cartilage in the hip joint) is needed before thickness determination. Traditional techniques such as zero-crossings of the second derivatives are not suitable for the detection of these boundaries. A theoretical simulation analysis reveals that the zero-crossing method yields considerable biases in boundary detection and thickness measurement of the two adjacent thin structures from MR images. This paper studies the accurate detection of hip cartilage boundaries in the image plane, and a new method based on a model of the MR imaging process is proposed for this application. Based on the newly developed model, a hip cartilage boundary detection algorithm is developed. The in-plane thickness is computed based on the boundaries detected using the proposed algorithm. In order to correct the image plane thickness for overestimation due to oblique slicing, a three-dimensional (3-D) thickness computation approach is introduced. Experimental results show that the thickness measurement obtained by the new thickness computation approach is more accurate than that obtained by the existing thickness computation approaches.
ER -