Pulmonary lobe segmentation in CT examinations using implicit surface fitting

Jiantao Pu, Bin Zheng, Joseph K. Leader, Carl Fuhrman, Friedrich D Knollmann, Amy Klym, David Gur

Research output: Contribution to journalArticle

67 Scopus citations

Abstract

Lobe identification in computed tomography (CT) examinations is often an important consideration during the diagnostic process as well as during treatment planning because of their relative independence of each other in terms of anatomy and function. In this paper, we present a new automated scheme for segmenting lung lobes depicted on 3-D CT examinations. The unique characteristic of this scheme is the representation of fissures in the form of implicit functions using Radial Basis Functions (RBFs), capable of seamlessly interpolating holes in the detected fissures and smoothly extrapolating the fissure surfaces to the lung boundaries resulting in a natural segmentation of lung lobes. A previously developed statistically based approach is used to detect pulmonary fissures and the constraint points for implicit surface fitting are selected from detected fissure surfaces in a greedy manner to improve fitting efficiency. In a preliminary assessment study, lobe segmentation results of 65 chest CT examinations, five of which were reconstructed with three section thicknesses of 0.625 mm, 1.25 mm, and 2.5 mm, were subjectively and independently evaluated by two experienced chest radiologists using a five category rating scale (i.e., excellent, good, fair, poor, and unacceptable). Thirty-three of 65 examinations (50.8%) with a section thickness of 0.625 mm were rated as either excellent or good by both radiologists and only one case (1.5%) was rated by both radiologists as poor or unacceptable. Comparable performance was obtained with a slice thickness of 1.25 mm, but substantial performance deterioration occurred in examinations with a section thickness of 2.5 mm. The advantages of this scheme are its full automation, relative insensitivity to fissure completeness, and ease of implementation.

Original languageEnglish (US)
Article number5170058
Pages (from-to)1986-1996
Number of pages11
JournalIEEE Transactions on Medical Imaging
Volume28
Issue number12
DOIs
StatePublished - Dec 2009
Externally publishedYes

Keywords

  • Computed tomography (CT)
  • Computer-aided diagnosis
  • Lobe segmentation
  • Radial basis function (RBF)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software

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