Segmentation of Rib Bones From MR Data Using Tracking Approach and Polynomial Parametrization

Harri Pölönen, G. Schubert

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

Segmentation of rib bones from magnetic resonance (MR) data is a challenging task due to the very weak MR signal of the bone tissue. The locations of the rib bones are indicated by the lack of signal between the surrounding soft tissues.
We have developed an automated rib segmentation method, which tracks the bones from a given initial point using a predefined rib cross-section template. The three-dimensional location of the rib midline is parametrized with second order polynomials.
The correct rib midline is determined through numerical optimization of polynomial parameters by maximizing cross-correlation between the template and the MR data.
The segmentation result is a three-dimensional binary segmentation of the ribs, which can be output also as a surface. Comparison between the method's output and a manual segmentation shows that the method works adequately.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication21st European Signal Processing Conference, EUSIPCO 2013
PublisherInstitute of Electrical and Electronic Engineers IEEE
Number of pages5
ISBN (Electronic)978-0-9928626-0-2
Publication statusPublished - 2013
MoE publication typeNot Eligible
Event21st European Signal Processing Conference, EUSIPCO 2013 - Marrakech, Morocco
Duration: 9 Sep 201313 Sep 2013

Conference

Conference21st European Signal Processing Conference, EUSIPCO 2013
Abbreviated titleEUSIPCO 2013
CountryMorocco
CityMarrakech
Period9/09/1313/09/13

Fingerprint

Magnetic resonance
Bone
Polynomials
Tissue

Cite this

Pölönen, H., & Schubert, G. (2013). Segmentation of Rib Bones From MR Data Using Tracking Approach and Polynomial Parametrization. In Proceedings : 21st European Signal Processing Conference, EUSIPCO 2013 Institute of Electrical and Electronic Engineers IEEE.
Pölönen, Harri ; Schubert, G. / Segmentation of Rib Bones From MR Data Using Tracking Approach and Polynomial Parametrization. Proceedings : 21st European Signal Processing Conference, EUSIPCO 2013. Institute of Electrical and Electronic Engineers IEEE, 2013.
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abstract = "Segmentation of rib bones from magnetic resonance (MR) data is a challenging task due to the very weak MR signal of the bone tissue. The locations of the rib bones are indicated by the lack of signal between the surrounding soft tissues. We have developed an automated rib segmentation method, which tracks the bones from a given initial point using a predefined rib cross-section template. The three-dimensional location of the rib midline is parametrized with second order polynomials. The correct rib midline is determined through numerical optimization of polynomial parameters by maximizing cross-correlation between the template and the MR data. The segmentation result is a three-dimensional binary segmentation of the ribs, which can be output also as a surface. Comparison between the method's output and a manual segmentation shows that the method works adequately.",
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Pölönen, H & Schubert, G 2013, Segmentation of Rib Bones From MR Data Using Tracking Approach and Polynomial Parametrization. in Proceedings : 21st European Signal Processing Conference, EUSIPCO 2013. Institute of Electrical and Electronic Engineers IEEE, 21st European Signal Processing Conference, EUSIPCO 2013, Marrakech, Morocco, 9/09/13.

Segmentation of Rib Bones From MR Data Using Tracking Approach and Polynomial Parametrization. / Pölönen, Harri; Schubert, G.

Proceedings : 21st European Signal Processing Conference, EUSIPCO 2013. Institute of Electrical and Electronic Engineers IEEE, 2013.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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AU - Schubert, G.

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N2 - Segmentation of rib bones from magnetic resonance (MR) data is a challenging task due to the very weak MR signal of the bone tissue. The locations of the rib bones are indicated by the lack of signal between the surrounding soft tissues. We have developed an automated rib segmentation method, which tracks the bones from a given initial point using a predefined rib cross-section template. The three-dimensional location of the rib midline is parametrized with second order polynomials. The correct rib midline is determined through numerical optimization of polynomial parameters by maximizing cross-correlation between the template and the MR data. The segmentation result is a three-dimensional binary segmentation of the ribs, which can be output also as a surface. Comparison between the method's output and a manual segmentation shows that the method works adequately.

AB - Segmentation of rib bones from magnetic resonance (MR) data is a challenging task due to the very weak MR signal of the bone tissue. The locations of the rib bones are indicated by the lack of signal between the surrounding soft tissues. We have developed an automated rib segmentation method, which tracks the bones from a given initial point using a predefined rib cross-section template. The three-dimensional location of the rib midline is parametrized with second order polynomials. The correct rib midline is determined through numerical optimization of polynomial parameters by maximizing cross-correlation between the template and the MR data. The segmentation result is a three-dimensional binary segmentation of the ribs, which can be output also as a surface. Comparison between the method's output and a manual segmentation shows that the method works adequately.

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Pölönen H, Schubert G. Segmentation of Rib Bones From MR Data Using Tracking Approach and Polynomial Parametrization. In Proceedings : 21st European Signal Processing Conference, EUSIPCO 2013. Institute of Electrical and Electronic Engineers IEEE. 2013