Detection of follicles in ultrasound videos of bovine ovaries

Alvaro Gómez, Guillermo Carbajal, Magdalena Fuentes, Carolina Viñoles

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


Ultrasound imaging is a veterinarian standard procedure for the monitoring of ovarian structures in cattle. Recent studies, suggest that the number of antral follicles can give a cue of the future fertility of a specimen. Therefore, there has been a growing interest in counting the number of antral follicles at early stages in life. In the most typical procedure, the operator performs a trans-rectal ultrasound scan and counts the follicles on the live video that is seen in the ultrasound machine. This is a challenging task and requires highly trained experts that can reliably detect and count the follicles in a quick sweep of a few seconds. This work presents the integration of several signal processing techniques to the problem of automatically detecting follicles in ultrasound videos of bovine cattle ovaries. The approach starts from an ultrasound video that traverses the ovary from end to end. Putative follicle regions are detected on each frame with a cascade of boosted classifiers. In order to impose temporal coherence, the detections are tracked across the frames with multiple Kalman filters. The tracks are analyzed to separate follicle detections from other false detections. The method is tested on a phantom dataset of ovaries in gelatin with dissection ground truth. Results are promising and encourage further extension to in-vivo ultrasound videos.

Original languageEnglish (US)
Title of host publicationProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 21st Iberoamerican Congress, CIARP 2016, Proceedings
EditorsCesar Beltran-Castanon, Fazel Famili, Ingela Nystrom
PublisherSpringer Verlag
Number of pages8
ISBN (Print)9783319522760
StatePublished - 2017
Event21st Iberoamerican Congress on Pattern Recognition, CIARP 2016 - Lima, Peru
Duration: Nov 8 2016Nov 11 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10125 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st Iberoamerican Congress on Pattern Recognition, CIARP 2016
City Lima


  • Cascade classifier
  • Follicle detection
  • Multitracking

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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