Positive delta detection for alpha shape segmentation of 3D ultrasound images of pathologic kidneys

Juan J. Cerrolaza, Christopher Meyer, James Jago, Craig A Peters, Marius George Linguraru

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

2 Scopus citations

Abstract

Ultrasound is the mainstay of imaging for pediatric hydronephrosis, which appears as the dilation of the renal collecting system. However, its potential as diagnostic tool is limited by the subjective visual interpretation of radiologists. As a result, the severity of hydronephrosis in children is evaluated by invasive and ionizing diuretic renograms. In this paper, we present the first complete framework for the segmentation and quantification of renal structures in 3D ultrasound images, a difficult and barely studied challenge. In particular, we propose a new active contour-based formulation for the segmentation of the renal collecting system, which mimics the propagation of fluid inside the kidney. For this purpose, we introduce a new positive delta detector for ultrasound images that allows to identify the fat of the renal sinus surrounding the dilated collecting system, creating an alpha shape-based patient-specific positional map. Finally, we incorporate a Gabor-based semi-automatic segmentation of the kidney to create the first complete ultrasound-based framework for the quantification of hydronephrosis. The promising results obtained over a dataset of 13 pathological cases (dissimilarity of 2.8 percentage points on the computation of the volumetric hydronephrosis index) demonstrate the potential utility of the new framework for the non-invasive and non-ionizing assessment of hydronephrosis severity among the pediatric population.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings
PublisherSpringer Verlag
Pages711-718
Number of pages8
Volume9351
ISBN (Print)9783319245737
DOIs
StatePublished - Jan 1 2015
Event18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015 - Munich, Germany
Duration: Oct 5 2015Oct 9 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9351
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015
CountryGermany
CityMunich
Period10/5/1510/9/15

Keywords

  • 3D ultrasound
  • Alpha shapes
  • Collecting system
  • Hydronephrosis
  • Kidney
  • Monogenic signal
  • Segmentation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Cerrolaza, J. J., Meyer, C., Jago, J., Peters, C. A., & Linguraru, M. G. (2015). Positive delta detection for alpha shape segmentation of 3D ultrasound images of pathologic kidneys. In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 - 18th International Conference, Proceedings (Vol. 9351, pp. 711-718). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9351). Springer Verlag. https://doi.org/10.1007/978-3-319-24574-4_85