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Segmentation of the temporalis muscle from MR data

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Objective A method for segmenting the temporalis from magnetic resonance (MR) images was developed and tested. The temporalis muscle is one of the muscles of mastication which plays a major role in the mastication system.

Materials and methods The temporalis region of interest (ROI) and the head ROI are defined in reference images, from which the spatial relationship between the two ROIs is derived. This relationship is used to define the temporalis ROI in a study image. Range-constrained thresholding is then employed to remove the fat, bone marrow and muscle tendon in the ROI. Adaptive morphological operations are then applied to first remove the brain tissue, followed by the removal of the other soft tissues surrounding the temporalis. Ten adult head MR data sets were processed to test this method.

Results Using five data sets each for training and testing, the method was applied to the segmentation of the temporalis in 25 MR images (five from each test set). An average overlap index (κ) of 90.2% was obtained. Applying a leave-one-out evaluation method, an average κ of 90.5% was obtained from 50 test images.

Conclusion A method for segmenting the temporalis from MR images was developed and tested on in vivo data sets. The results show that there is consistency between manual and automatic segmentations.

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Authors and Affiliations

  1. NUS Graduate School for Integrative Sciences and Engineering, Singapore, Singapore

    H. P. Ng & K. W. C. Foong

  2. Biomedical Imaging Lab, Agency for Science Technology and Research, Singapore, Singapore

    H. P. Ng, Q. M. Hu, J. Liu & W. L. Nowinski

  3. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    S. H. Ong

  4. Division of Bioengineering, National University of Singapore, Singapore, Singapore

    S. H. Ong

  5. Department of Preventive Dentistry, National University of Singapore, Singapore, Singapore

    K. W. C. Foong

  6. Department of Diagnostic Radiology, National University of Singapore, Singapore, Singapore

    P. S. Goh

Authors
  1. H. P. Ng
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  2. Q. M. Hu
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  3. S. H. Ong
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  4. K. W. C. Foong
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  5. P. S. Goh
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  6. J. Liu
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  7. W. L. Nowinski
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Correspondence to H. P. Ng.

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Ng, H.P., Hu, Q.M., Ong, S.H. et al. Segmentation of the temporalis muscle from MR data. Int J CARS 2, 19–30 (2007). https://doi.org/10.1007/s11548-007-0073-9

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  • DOI: https://doi.org/10.1007/s11548-007-0073-9

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