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

Orla McEnery; Luciano Lucas; Yingliang Ma; Philip Morrow; Christopher Mitchell; Kurt Saetzler

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

Orla McEnery, Luciano Lucas, Yingliang Ma, Philip Morrow, Christopher Mitchell, Kurt Saetzler

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
Publisher	The Institute of Electrical and Electronics Engineers (IEEE)
Pages	101-104
Number of pages	4
Publication status	Published - 2006

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 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 101-104). The Institute of Electrical and Electronics Engineers (IEEE).

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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 = "Orla McEnery and Luciano Lucas and Yingliang Ma and Philip Morrow and Christopher Mitchell and Kurt Saetzler",

year = "2006",

language = "English",

pages = "101--104",

booktitle = "2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings",

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A fast, robust and scale-independent approach to estimate vessel diameters in intravital fluorescence microscopy images. / McEnery, Orla; Lucas, Luciano; Ma, Yingliang et al.
2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. The Institute of Electrical and Electronics Engineers (IEEE), 2006. p. 101-104.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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

AU - McEnery, Orla

AU - Lucas, Luciano

AU - Ma, Yingliang

AU - Morrow, Philip

AU - Mitchell, Christopher

AU - Saetzler, Kurt

PY - 2006

Y1 - 2006

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.

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-33750931608&partnerID=MN8TOARS

M3 - Conference contribution

SP - 101

EP - 104

BT - 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

PB - The Institute of Electrical and Electronics Engineers (IEEE)

ER -

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

Abstract

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