A novel non-registration based segmentation approach of 4D dynamic upper airway MR images: Minimally interactive fuzzy connectedness

Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Sanghun Sin, Mark E. Wagshul, Raanan Arens

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

There are several disease conditions that lead to upper airway restrictive disorders. In the study of these conditions, it is important to take into account the dynamic nature of the upper airway. Currently, dynamic MRI is the modality of choice for studying these diseases. Unfortunately, the contrast resolution obtainable in the images poses many challenges for an effective segmentation of the upper airway structures. No viable methods have been developed to date to solve this problem. In this paper, we demonstrate the adaptation of the iterative relative fuzzy connectedness (IRFC) algorithm for this application as a potential practical tool. After preprocessing to correct for background image non-uniformities and the non-standardness of MRI intensities, seeds are specified for the airway and its crucial background tissue components in only the 3D image corresponding to the first time instance of the 4D volume. Subsequently the process runs without human interaction and completes segmenting the whole 4D volume in 10 sec. Our evaluations indicate that the segmentations are of very good quality achieving true positive and false positive volume fractions and boundary distance with respect to reference manual segmentations of about 93%, 0.1%, and 0.5 mm, respectively.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
PublisherSPIE
Volume9038
ISBN (Print)9780819498311
DOIs
StatePublished - 2014
EventMedical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging - San Diego, CA, United States
Duration: Feb 16 2014Feb 18 2014

Other

OtherMedical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CitySan Diego, CA
Period2/16/142/18/14

Fingerprint

Magnetic resonance imaging
Seeds
preprocessing
nonuniformity
seeds
disorders
Seed
Volume fraction
evaluation
Tissue
interactions

Keywords

  • 4D MR imaging
  • Fuzzy connectedness
  • Segmentation
  • Upper airway

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Tong, Y., Udupa, J. K., Odhner, D., Sin, S., Wagshul, M. E., & Arens, R. (2014). A novel non-registration based segmentation approach of 4D dynamic upper airway MR images: Minimally interactive fuzzy connectedness. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 9038). [90380Z] SPIE. https://doi.org/10.1117/12.2044473

A novel non-registration based segmentation approach of 4D dynamic upper airway MR images : Minimally interactive fuzzy connectedness. / Tong, Yubing; Udupa, Jayaram K.; Odhner, Dewey; Sin, Sanghun; Wagshul, Mark E.; Arens, Raanan.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9038 SPIE, 2014. 90380Z.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tong, Y, Udupa, JK, Odhner, D, Sin, S, Wagshul, ME & Arens, R 2014, A novel non-registration based segmentation approach of 4D dynamic upper airway MR images: Minimally interactive fuzzy connectedness. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 9038, 90380Z, SPIE, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, CA, United States, 2/16/14. https://doi.org/10.1117/12.2044473
Tong, Yubing ; Udupa, Jayaram K. ; Odhner, Dewey ; Sin, Sanghun ; Wagshul, Mark E. ; Arens, Raanan. / A novel non-registration based segmentation approach of 4D dynamic upper airway MR images : Minimally interactive fuzzy connectedness. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 9038 SPIE, 2014.
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