Robust extraction of the aorta and pulmonary artery from 3D MDCT image data

Pinyo Taeprasartsit, William Evan Higgins

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

5 Scopus citations

Abstract

Accurate definition of the aorta and pulmonary artery from three-dimensional (3D) multi-detector CT (MDCT) images is important for pulmonary applications. This work presents robust methods for defining the aorta and pulmonary artery in the central chest. The methods work on both contrast enhanced and no-contrast 3D MDCT image data. The automatic methods use a common approach employing model fitting and selection and adaptive refinement. During the occasional event that more precise vascular extraction is desired or the method fails, we also have an alternate semi-automatic fail-safe method. The semi-automatic method extracts the vasculature by extending the medial axes into a user-guided direction. A ground-truth study over a series of 40 human 3D MDCT images demonstrates the efficacy, accuracy, robustness, and efficiency of the methods.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2010
Subtitle of host publicationImage Processing
EditionPART 1
DOIs
StatePublished - Dec 1 2010
EventMedical Imaging 2010: Image Processing - San Diego, CA, United States
Duration: Feb 14 2010Feb 16 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
NumberPART 1
Volume7623
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2010: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/14/102/16/10

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Taeprasartsit, P., & Higgins, W. E. (2010). Robust extraction of the aorta and pulmonary artery from 3D MDCT image data. In Medical Imaging 2010: Image Processing (PART 1 ed.). [76230H] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7623, No. PART 1). https://doi.org/10.1117/12.839478