4D vessel segmentation and tracking in Ultrasound

Kedar A. Patwardhan, Yongjian Yu, Sandeep Gupta, Aaron Dentinger, David Mills

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

2 Scopus citations


In this paper we describe a fast method to segment and track a vessel of interest in 4D (i.e. 3D + time) Ultrasound images. An initial 2D seed is used to initialize a single spatial Kalman-Filter tracker which tracks the vessel center-line in 3D. The 3D vessel is then segmented using a fast area weighted active contour method. This segmented 3D vessel is then tracked across multiple time-points using a set of temporal Kalman- Filters which track the movement of the center of the vessel in each 2D slice. The vessel boundaries are estimated by growing an area weighted active contour outward from the centerline. Based on qualitative as well as quantitative performance measures, the proposed method shows promising tracking results on numerous phantom as well as patient datasets.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Image Processing, ICIP
Number of pages4
StatePublished - 2012
Externally publishedYes
Event2012 19th IEEE International Conference on Image Processing, ICIP 2012 - Lake Buena Vista, FL, United States
Duration: Sep 30 2012Oct 3 2012


Other2012 19th IEEE International Conference on Image Processing, ICIP 2012
Country/TerritoryUnited States
CityLake Buena Vista, FL


  • 4D
  • Kalman filter
  • real-time 3D
  • segmentation
  • tracking
  • ultrasound
  • vessel

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems


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