title: Localization of spots in FISH images of breast cancer using 3-D shape analysis.
abstract: The fluorescence in situ (FISH) belongs to the most often used molecular cytogenetic techniques, applied in many areas of diagnosis and research. The analysis of FISH images relies on localization and counting the red and green spots in order to determine HER2 status of the breast cancer samples. The algorithm of spot localization presented in the paper is based on 3-D shape analysis of the image objects. The subsequent regions of the image are matched to the reference pattern and the results of this matching influence localization of spots. The paper compares different shapes of the reference pattern and their efficiency in spot localization. The numerical experiments have been performed on the basis of 12 cases (patients), each represented by three images. Few thousands of cells have been analysed. The quantitative analyses comparing different versions of algorithm are presented and compared to the expert results. The best version of the procedure provides the absolute relative difference to the expert results smaller than 3%. These results confirm high efficiency of the proposed approach to the spot identification. The proposed method of FISH image analysis improves the efficiency of detecting fluorescent signals in FISH images. The evaluation results are encouraging for further testing of the developed automatic system directed to application in medical practice.
authors.affiliation: Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Poland.
authors.forename: T
authors.initials: T
authors.lastname: Les
authors.affiliation: Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Poland.|Department of Pathomorphology, Military Institute of Medicine, Warsaw, Poland.
authors.forename: T
authors.initials: T
authors.lastname: Markiewicz
authors.affiliation: Faculty of Electrical Engineering, Warsaw University of Technology, Warsaw, Poland.|Faculty of Electronic Engineering, Military University of Technology, Warsaw, Poland.
authors.forename: S
authors.initials: S
authors.lastname: Osowski
authors.affiliation: Department of Pathomorphology, Military Institute of Medicine, Warsaw, Poland.
authors.forename: M
authors.initials: M
authors.lastname: Jesiotr
authors.affiliation: Department of Pathomorphology, Military Institute of Medicine, Warsaw, Poland.
authors.forename: W
authors.initials: W
authors.lastname: Kozlowski
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000235:genetics* / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D017404:In Situ Hybridization, Fluorescence / Q000379:methods*; D018719:Erb-b2 Receptor Tyrosine Kinases / Q000032:analysis / Q000235:genetics
chemical_list: D018719:Erb-b2 Receptor Tyrosine Kinases
keywords: FISH images; image segmentation; object recognition; shape analysis