Semi-automatic assessment of pediatric hydronephrosis severity in 3D ultrasound

Juan J. Cerrolaza, Hansel Otero, Peter Yao, Elijah Biggs, Awais Mansoor, Roberto Ardon, James Jago, Craig A Peters, Marius George Linguraru

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

4 Scopus citations

Abstract

Hydronephrosis is the most common abnormal finding in pediatric urology. Thanks to its non-ionizing nature, ultrasound (US) imaging is the preferred diagnostic modality for the evaluation of the kidney and the urinary track. However, due to the lack of correlation of US with renal function, further invasive and/or ionizing studies might be required (e.g., diuretic renograms). This paper presents a computer-aided diagnosis (CAD) tool for the accurate and objective assessment of pediatric hydronephrosis based on morphological analysis of kidney from 3DUS scans. The integration of specific segmentation tools in the system, allows to delineate the relevant renal structures from 3DUS scans of the patients with minimal user interaction, and the automatic computation of 90 anatomical features. Using the washout half time (T1/2) as indicative of renal obstruction, an optimal subset of predictive features is selected to differentiate, with maximum sensitivity, those severe cases where further attention is required (e.g., in the form of diuretic renograms), from the noncritical ones. The performance of this new 3DUS-based CAD system is studied for two clinically relevant T1/2 thresholds, 20 and 30 min. Using a dataset of 20 hydronephrotic cases, pilot experiments show how the system outperforms previous 2D implementations by successfully identifying all the critical cases (100% of sensitivity), and detecting up to 100% (T1/2 = 20 min) and 67% (T1/2 = 30 min) of non-critical ones for T1/2 thresholds of 20 and 30 min, respectively.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2016
Subtitle of host publicationComputer-Aided Diagnosis
PublisherSPIE
Volume9785
ISBN (Electronic)9781510600201
DOIs
StatePublished - Jan 1 2016
EventMedical Imaging 2016: Computer-Aided Diagnosis - San Diego, United States
Duration: Feb 28 2016Mar 2 2016

Other

OtherMedical Imaging 2016: Computer-Aided Diagnosis
CountryUnited States
CitySan Diego
Period2/28/163/2/16

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Keywords

  • Computer-aided diagnosis
  • Hydronephrosis
  • Kidney
  • Quantification
  • Ultrasound imaging

ASJC Scopus subject areas

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

Cite this

Cerrolaza, J. J., Otero, H., Yao, P., Biggs, E., Mansoor, A., Ardon, R., Jago, J., Peters, C. A., & Linguraru, M. G. (2016). Semi-automatic assessment of pediatric hydronephrosis severity in 3D ultrasound. In Medical Imaging 2016: Computer-Aided Diagnosis (Vol. 9785). [97851Q] SPIE. https://doi.org/10.1117/12.2216830