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Oncol Rep. 2006;15 Spec no.:1085-9.

Spatio-temporal modeling of lung images for cancer detection.

Author information

  • 1Department of Computer and Information Science, University of Massachusetts-Dartmouth, North Dartmouth, MA 02747, USA. lshen@umassd.edu

Abstract

Perfusion magnetic resonance imaging (pMRI) is an important tool in assessing tumor angiogenesis for the early detection of lung cancer. This study 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 the nodule boundary, 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, e.g. a time-intensity profile of a nodule region, and be used to capture important angiogenic patterns in the lung that can distinguish between cancer and benign nodules and assist in early detection.

PMID:
16525706
[PubMed - indexed for MEDLINE]
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