A fast, robust and scale-independent approach to estimate vessel diameters in intravital fluorescence microscopy images

O McEnery; L Lucas; YingLiang Ma; P Morrow; C Mitchell; Kurt  Saetzler

doi:10.1109/ISBI.2006.1624862

A fast, robust and scale-independent approach to estimate vessel diameters in intravital fluorescence microscopy images

O McEnery, L Lucas, YingLiang Ma, P Morrow, C Mitchell, Kurt Saetzler

Ulster University

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

Analyzing dynamic biological systems, such as blood vessel growth in healing wounds or tumour development, requires high spatial and temporal resolution. Intravital fluorescence microscopy allows for longitudinal subcellular imaging, but it requires the use of advanced image analysis tools in order to quantitatively extract the relevant parameters or the topology of the underlying network structure to subsequently model and simulate such a system mathematically. We will present a fast and robust approach that estimates the vessel diameter with a low coefficient of error < 6% in settings that are typical for such in-vivo imaging scenarios with a low signal-to-noise ratio and often sub-optimal and uneven background illumination. The generated vessel network is geometrically cleansed for an optimal topological representation

Original language	English
Title of host publication	IEEE International Symposium on Biomedical Imaging
Publisher	IEEE
Pages	101-104
Number of pages	4
ISBN (Print)	0-7803-9576-X
DOIs	https://doi.org/10.1109/ISBI.2006.1624862
Publication status	Published - 8 May 2006
Externally published	Yes
Event	3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006 - , United States Duration: 6 Apr 2006 → 9 Apr 2006

Conference

Conference	3rd IEEE International Symposium on Biomedical Imaging
Country/Territory	United States
Period	6/04/06 → 9/04/06

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10.1109/ISBI.2006.1624862

Cite this

McEnery, O, Lucas, L, Ma, Y, Morrow, P, Mitchell, C & Saetzler, K 2006, A fast, robust and scale-independent approach to estimate vessel diameters in intravital fluorescence microscopy images. in IEEE International Symposium on Biomedical Imaging. IEEE, pp. 101-104, 3rd IEEE International Symposium on Biomedical Imaging, United States, 6/04/06. https://doi.org/10.1109/ISBI.2006.1624862

@inproceedings{35384d01f4054468a765839780cfccfa,

title = "A fast, robust and scale-independent approach to estimate vessel diameters in intravital fluorescence microscopy images",

abstract = "Analyzing dynamic biological systems, such as blood vessel growth in healing wounds or tumour development, requires high spatial and temporal resolution. Intravital fluorescence microscopy allows for longitudinal subcellular imaging, but it requires the use of advanced image analysis tools in order to quantitatively extract the relevant parameters or the topology of the underlying network structure to subsequently model and simulate such a system mathematically. We will present a fast and robust approach that estimates the vessel diameter with a low coefficient of error < 6% in settings that are typical for such in-vivo imaging scenarios with a low signal-to-noise ratio and often sub-optimal and uneven background illumination. The generated vessel network is geometrically cleansed for an optimal topological representation",

author = "O McEnery and L Lucas and YingLiang Ma and P Morrow and C Mitchell and Kurt Saetzler",

year = "2006",

month = may,

day = "8",

doi = "10.1109/ISBI.2006.1624862",

language = "English",

isbn = "0-7803-9576-X",

pages = "101--104",

booktitle = "IEEE International Symposium on Biomedical Imaging",

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address = "United States",

note = "3rd IEEE International Symposium on Biomedical Imaging : Nano to Macro, 2006 ; Conference date: 06-04-2006 Through 09-04-2006",

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T1 - A fast, robust and scale-independent approach to estimate vessel diameters in intravital fluorescence microscopy images

AU - McEnery, O

AU - Lucas, L

AU - Ma, YingLiang

AU - Morrow, P

AU - Mitchell, C

AU - Saetzler, Kurt

PY - 2006/5/8

Y1 - 2006/5/8

N2 - Analyzing dynamic biological systems, such as blood vessel growth in healing wounds or tumour development, requires high spatial and temporal resolution. Intravital fluorescence microscopy allows for longitudinal subcellular imaging, but it requires the use of advanced image analysis tools in order to quantitatively extract the relevant parameters or the topology of the underlying network structure to subsequently model and simulate such a system mathematically. We will present a fast and robust approach that estimates the vessel diameter with a low coefficient of error < 6% in settings that are typical for such in-vivo imaging scenarios with a low signal-to-noise ratio and often sub-optimal and uneven background illumination. The generated vessel network is geometrically cleansed for an optimal topological representation

AB - Analyzing dynamic biological systems, such as blood vessel growth in healing wounds or tumour development, requires high spatial and temporal resolution. Intravital fluorescence microscopy allows for longitudinal subcellular imaging, but it requires the use of advanced image analysis tools in order to quantitatively extract the relevant parameters or the topology of the underlying network structure to subsequently model and simulate such a system mathematically. We will present a fast and robust approach that estimates the vessel diameter with a low coefficient of error < 6% in settings that are typical for such in-vivo imaging scenarios with a low signal-to-noise ratio and often sub-optimal and uneven background illumination. The generated vessel network is geometrically cleansed for an optimal topological representation

U2 - 10.1109/ISBI.2006.1624862

DO - 10.1109/ISBI.2006.1624862

M3 - Conference proceeding

SN - 0-7803-9576-X

SP - 101

EP - 104

BT - IEEE International Symposium on Biomedical Imaging

PB - IEEE

T2 - 3rd IEEE International Symposium on Biomedical Imaging

Y2 - 6 April 2006 through 9 April 2006

ER -

A fast, robust and scale-independent approach to estimate vessel diameters in intravital fluorescence microscopy images

Abstract

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