Cover Image
QR Code

Three-dimensional segmentation of the tumor in computed tomographic images of neuroblastoma.

Segmentation of the tumor in neuroblastoma is complicated by the fact that the mass is almost always heterogeneous in nature; furthermore, viable tumor, necrosis, and normal tissue are often intermixed. Tumor definition and diagnosis require the analysis of the spatial distribution and Hounsfield un...

Full description

Published in:Journal of Digital Imaging Vol. 20; no. 1; pp. 72 - 88
Main Authors: Deglint HJ, Rangayyan RM, Ayres FJ, Boag GS, Zuffo MK
Format: diagnostic images equations & formulas tables/charts Journal Article
Published: Springer Nature Mar2007
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106150723&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 106150723
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        08971889
        DOQ
      jtl: Journal of Digital Imaging
      issn: 08971889
      maglogo: N
    pubinfo:
      dt: Mar2007
      vid: 20
      iid: 1
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        106150723
        2009654854
        10.1007/10278-006-0769-3
        106150723
      ppf: 72
      ppct: 16
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Three-dimensional segmentation of the tumor in computed tomographic images of neuroblastoma.
      aug:
        au:
          Deglint HJ
          Rangayyan RM
          Ayres FJ
          Boag GS
          Zuffo MK
        affil: Schulich School of Engineering, Department of Electrical and Computer Engineering, University of Calgary, 2500 University Drive, N.W., Calgary, T2N 1N4 Alberta, Canada
      sug:
        subj:
          Diagnosis, Computer Assisted Methods
          Neuroblastoma Diagnosis
          Neuroblastoma Radiography
          Algorithms
          Artifacts
          Funding Source
          Tomography, X-Ray Computed
      ab: Segmentation of the tumor in neuroblastoma is complicated by the fact that the mass is almost always heterogeneous in nature; furthermore, viable tumor, necrosis, and normal tissue are often intermixed. Tumor definition and diagnosis require the analysis of the spatial distribution and Hounsfield unit (HU) values of voxels in computed tomography (CT) images, coupled with a knowledge of normal anatomy. Segmentation and analysis of the tissue composition of the tumor can assist in quantitative assessment of the response to therapy and in the planning of delayed surgery for resection of the tumor. We propose methods to achieve 3-dimensional segmentation of the neuroblastic tumor. In our scheme, some of the normal structures expected in abdominal CT images are delineated and removed from further consideration; the remaining parts of the image volume are then examined for the tumor mass. Mathematical morphology, fuzzy connectivity, and other image processing tools are deployed for this purpose. Expert knowledge provided by a radiologist in the form of the expected structures and their shapes, HU values, and radiological characteristics are incorporated into the segmentation algorithm. In this preliminary study, the methods were tested with 10 CT exams of four cases from the Alberta Children's Hospital. False-negative error rates of less than 12% were obtained in eight of the 10 exams; however, seven of the exams had falsepositive error rates of more than 20% with respect to manual segmentation of the tumor by a radiologist.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N