Lung segmentation in CT for thoracic PET-CT registration through visual study

Siti Salasiah Mokri, M. I. Saripan, M. H. Marhaban, A. J. Nordin

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

6 Citations (Scopus)

Abstract

Hybrid Positron Emission Tomography (PET)/Computer Tomography (CT) is a combined device that merges the anatomical and functional information of a patient used most commonly in cancer diagnosis and staging. This device is said to improve co-registration of both the anatomical and functional information. However, in real clinical practices, voluntary and involuntary patient motions are inevitable during scanning resulting in registration errors. In our study, feature based registration algorithm is to be used to solve such problem focusing on the thoracic region. Thus, segmentation method is chosen as a preliminary step to segment significant anatomical regions such as the lungs. Lungs segmentation in CT image is implemented based on optimal thresholding, region growing, connected component labeling as well as morphological operations. Satisfactory lung boundary segmentation results are obtained through visual inspection for our current dataset; that are deemed agreeable to devise a solution for PET-CT thoracic misregistration.

Original languageEnglish
Title of host publication2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
Pages550-554
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 - Langkawi, Malaysia
Duration: 17 Dec 201219 Dec 2012

Other

Other2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012
CountryMalaysia
CityLangkawi
Period17/12/1219/12/12

Fingerprint

Positron emission tomography
Tomography
Labeling
Inspection
Scanning

Keywords

  • CT lung segmentation
  • morphology
  • multi-modality PET-CT registration
  • region growing
  • threshold

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Mokri, S. S., Saripan, M. I., Marhaban, M. H., & Nordin, A. J. (2012). Lung segmentation in CT for thoracic PET-CT registration through visual study. In 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 (pp. 550-554). [6498040] https://doi.org/10.1109/IECBES.2012.6498040

Lung segmentation in CT for thoracic PET-CT registration through visual study. / Mokri, Siti Salasiah; Saripan, M. I.; Marhaban, M. H.; Nordin, A. J.

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012. 2012. p. 550-554 6498040.

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

Mokri, SS, Saripan, MI, Marhaban, MH & Nordin, AJ 2012, Lung segmentation in CT for thoracic PET-CT registration through visual study. in 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012., 6498040, pp. 550-554, 2012 2nd IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012, Langkawi, Malaysia, 17/12/12. https://doi.org/10.1109/IECBES.2012.6498040
Mokri SS, Saripan MI, Marhaban MH, Nordin AJ. Lung segmentation in CT for thoracic PET-CT registration through visual study. In 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012. 2012. p. 550-554. 6498040 https://doi.org/10.1109/IECBES.2012.6498040
Mokri, Siti Salasiah ; Saripan, M. I. ; Marhaban, M. H. ; Nordin, A. J. / Lung segmentation in CT for thoracic PET-CT registration through visual study. 2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012. 2012. pp. 550-554
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