Modeling time-intensity profiles for pulmonary nodules in MR images

Shen Li, Wei Zheng, Ling Gao, Heng Huang, Fillia Makedon, Justin Pearlman

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

Abstract

Perfusion magnetic resonance imaging (pMRI) is an important tool to assess tumor angiogenesis for the early detection of lung cancer. This paper presents a novel integrated framework for spatio-temporal modeling of pulmonary nodules in pMRI image sequences. After localizing a nodule region in each image, we perform segmentation in the region to extract nodule boundary, and then use thin-plate spline interpolation for nodule registration along the temporal dimension. The resulting spatio-temporal model can lead to many types of nodule characterization. Time intensity profiles of nodules region capture important angiogenic patterns in the lung that can distinguish between cancer and benign nodules and help early detection.

Original languageEnglish (US)
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages1359-1362
Number of pages4
StatePublished - Dec 1 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Other

Other2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
CountryChina
CityShanghai
Period9/1/059/4/05

Fingerprint

Magnetic resonance
Imaging techniques
Splines
Tumors
Interpolation

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Li, S., Zheng, W., Gao, L., Huang, H., Makedon, F., & Pearlman, J. (2005). Modeling time-intensity profiles for pulmonary nodules in MR images. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 1359-1362). [1616680] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

Modeling time-intensity profiles for pulmonary nodules in MR images. / Li, Shen; Zheng, Wei; Gao, Ling; Huang, Heng; Makedon, Fillia; Pearlman, Justin.

Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 1359-1362 1616680 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).

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

Li, S, Zheng, W, Gao, L, Huang, H, Makedon, F & Pearlman, J 2005, Modeling time-intensity profiles for pulmonary nodules in MR images. in Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005., 1616680, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 7 VOLS, pp. 1359-1362, 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005, Shanghai, China, 9/1/05.
Li S, Zheng W, Gao L, Huang H, Makedon F, Pearlman J. Modeling time-intensity profiles for pulmonary nodules in MR images. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. p. 1359-1362. 1616680. (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).
Li, Shen ; Zheng, Wei ; Gao, Ling ; Huang, Heng ; Makedon, Fillia ; Pearlman, Justin. / Modeling time-intensity profiles for pulmonary nodules in MR images. Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005. 2005. pp. 1359-1362 (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings).
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