Comparison of threshold-based and watershed-based segmentation for the truncation compensation of PET/MR images

Thomas Blaffert, Steffen Renisch, Jing Tang, Manoj Narayanan, Zhiqiang Hu

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

Abstract

Recently introduced combined PET/MR scanners need to handle the specific problem that a limited MR field of view sometimes truncates arm or body contours, which prevents an accurate calculation of PET attenuation correction maps. Such maps of attenuation coefficients over body structures are required for a quantitatively correct PET image reconstruction. This paper addresses this problem by presenting a method that segments a preliminary reconstruction type of PET images, time of flight non-attenuation corrected (ToF-NAC) images, and outlining a processing pipeline that compensates the arm or body truncation with this segmentation. The impact of this truncation compensation is demonstrated together with a comparison of two segmentation methods, simple gray value threshold segmentation and a watershed algorithm on a gradient image. Our results indicate that with truncation compensation a clinically tolerable quantitative SUV error is robustly achievable.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume8314
DOIs
StatePublished - 2012
Externally publishedYes
EventMedical Imaging 2012: Image Processing - San Diego, CA, United States
Duration: Feb 6 2012Feb 9 2012

Other

OtherMedical Imaging 2012: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/6/122/9/12

Fingerprint

Computer-Assisted Image Processing
Watersheds
thresholds
Image reconstruction
approximation
Pipelines
attenuation coefficients
image reconstruction
scanners
field of view
Processing
attenuation
gradients
Compensation and Redress

Keywords

  • Attenuation correction
  • Image segmentation
  • PET/CT
  • PET/MR
  • Truncation compensation

ASJC Scopus subject areas

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

Cite this

Blaffert, T., Renisch, S., Tang, J., Narayanan, M., & Hu, Z. (2012). Comparison of threshold-based and watershed-based segmentation for the truncation compensation of PET/MR images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 8314). [831403] https://doi.org/10.1117/12.911221

Comparison of threshold-based and watershed-based segmentation for the truncation compensation of PET/MR images. / Blaffert, Thomas; Renisch, Steffen; Tang, Jing; Narayanan, Manoj; Hu, Zhiqiang.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8314 2012. 831403.

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

Blaffert, T, Renisch, S, Tang, J, Narayanan, M & Hu, Z 2012, Comparison of threshold-based and watershed-based segmentation for the truncation compensation of PET/MR images. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 8314, 831403, Medical Imaging 2012: Image Processing, San Diego, CA, United States, 2/6/12. https://doi.org/10.1117/12.911221
Blaffert T, Renisch S, Tang J, Narayanan M, Hu Z. Comparison of threshold-based and watershed-based segmentation for the truncation compensation of PET/MR images. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8314. 2012. 831403 https://doi.org/10.1117/12.911221
Blaffert, Thomas ; Renisch, Steffen ; Tang, Jing ; Narayanan, Manoj ; Hu, Zhiqiang. / Comparison of threshold-based and watershed-based segmentation for the truncation compensation of PET/MR images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 8314 2012.
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