Segmentation and Shape Tracking of Whole Fluorescent Cells
Based on the Chan-Vese Model

J 2013

Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model

MAŠKA, Martin, Ondřej DANĚK, Saray GARASA, Ana ROUZAUT, Arrate MUÑOZ-BARRUTIA et. al.

Základní údaje

Originální název

Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model

Autoři

MAŠKA, Martin (203 Česká republika, garant, domácí), Ondřej DANĚK (203 Česká republika, domácí), Saray GARASA (724 Španělsko), Ana ROUZAUT (724 Španělsko), Arrate MUÑOZ-BARRUTIA (724 Španělsko) a Carlos ORTIZ-DE-SOLÓRZANO (724 Španělsko)

Vydání

IEEE Transactions on Medical Imaging, 2013, 0278-0062

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.799

Kód RIV

RIV/00216224:14330/13:00081861

Organizační jednotka

Fakulta informatiky

DOI

http://dx.doi.org/10.1109/TMI.2013.2243463

UT WoS

000319701800003

Klíčová slova anglicky

Cell tracking;Chan–Vese model;fluorescence microscopy;graph cut optimization;level set framework

Štítky

cbia-web

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 4. 2018 14:55, doc. RNDr. Martin Maška, Ph.D.

Anotace

V originále

We present a fast and robust approach to tracking the evolving shape of whole fluorescent cells in time-lapse series. The proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise and enhance flow-like structures. Second, the cell boundaries are detected by minimizing the Chan–Vese model in the fast level set-like and graph cut frameworks. To allow simultaneous tracking of multiple cells over time, both frameworks have been integrated with a topological prior exploiting the object indication function. The potential of the proposed tracking scheme and the advantages and disadvantages of both frameworks are demonstrated on 2-D and 3-D time-lapse series of rat adipose-derived mesenchymal stem cells and human lung squamous cell carcinoma cells, respectively.

Návaznosti

EE2.3.30.0009, projekt VaV

Název: Zaměstnáním čerstvých absolventů doktorského studia k vědecké excelenci

Citovat

MAŠKA, Martin, Ondřej DANĚK, Saray GARASA, Ana ROUZAUT, Arrate MUÑOZ-BARRUTIA a Carlos ORTIZ-DE-SOLÓRZANO. Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model. IEEE Transactions on Medical Imaging. 2013, roč. 32, č. 6, s. 995-1006. ISSN 0278-0062. Dostupné z: https://dx.doi.org/10.1109/TMI.2013.2243463.

@article{1094754,
   author = {Maška, Martin and Daněk, Ondřej and Garasa, Saray and Rouzaut, Ana and MuñozandBarrutia, Arrate and OrtizanddeandSolórzano, Carlos},
   article_number = {6},
   doi = {http://dx.doi.org/10.1109/TMI.2013.2243463},
   keywords = {Cell tracking;Chan–Vese model;fluorescence microscopy;graph cut optimization;level set framework},
   language = {eng},
   issn = {0278-0062},
   journal = {IEEE Transactions on Medical Imaging},
   title = {Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model},
   url = {http://dx.doi.org/10.1109/TMI.2013.2243463},
   volume = {32},
   year = {2013}
}

TY  - JOUR
ID  - 1094754
AU  - Maška, Martin - Daněk, Ondřej - Garasa, Saray - Rouzaut, Ana - Muñoz-Barrutia, Arrate - Ortiz-de-Solórzano, Carlos
PY  - 2013
TI  - Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model
JF  - IEEE Transactions on Medical Imaging
VL  - 32
IS  - 6
SP  - 995-1006
EP  - 995-1006
SN  - 02780062
KW  - Cell tracking;Chan–Vese model;fluorescence microscopy;graph cut optimization;level set framework
UR  - http://dx.doi.org/10.1109/TMI.2013.2243463
N2  - We present a fast and robust approach to tracking the evolving shape of whole fluorescent cells in time-lapse series. The proposed tracking scheme involves two steps. First, coherence-enhancing diffusion filtering is applied on each frame to reduce the amount of noise and enhance flow-like structures. Second, the cell boundaries are detected by minimizing the Chan–Vese model in the fast level set-like and graph cut frameworks. To allow simultaneous tracking of multiple cells over time, both frameworks have been integrated with a topological prior exploiting the object indication function. The potential of the proposed tracking scheme and the advantages and disadvantages of both frameworks are demonstrated on 2-D and 3-D time-lapse series of rat adipose-derived mesenchymal stem cells and human lung squamous cell carcinoma cells, respectively.
ER  -

MAŠKA, Martin, Ondřej DANĚK, Saray GARASA, Ana ROUZAUT, Arrate MUÑOZ-BARRUTIA a Carlos ORTIZ-DE-SOLÓRZANO. Segmentation and Shape Tracking of Whole Fluorescent Cells Based on the Chan-Vese Model. \textit{IEEE Transactions on Medical Imaging}. 2013, roč.~32, č.~6, s.~995-1006. ISSN~0278-0062. Dostupné z: https://dx.doi.org/10.1109/TMI.2013.2243463.

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