Image Analysis of Nailfold Capillary Patterns From Video Sequences

Philip Allen; C J Taylor; A L Herrick; T Moore

doi:10.1007/10704282_76

Image Analysis of Nailfold Capillary Patterns From Video Sequences

Philip Allen, C J Taylor, A L Herrick, T Moore

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

Abstract

Video capillaroscopy is a widely used technique to assess the condition of the blood capillaries in the nailfold of patients suffering from reduced peripheral circulation (Raynaud’s phenomenon). This approach is complicated by the fact that gaps in the flow of blood can render capillaries incomplete in any single video frame. This paper describes a computer based system in which sequences of video frames are registered and combined to provide a composite image for analysis. We show that the images can be registered to an accuracy of approximately 2 μm, and that temporally variable features can be enhanced significantly by subtracting one standard deviation from the mean value for each pixel position in the video sequence.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention
Place of Publication	Cambridge
Publisher	Springer Nature
Pages	698-705
Number of pages	8
DOIs	https://doi.org/10.1007/10704282_76
Publication status	Published - 1999
Event	Medical Image Computing and Computer-Assisted Intervention - Cambridge, United Kingdom Duration: 19 Sept 1999 → 22 Sept 1999

Conference

Conference	Medical Image Computing and Computer-Assisted Intervention
Abbreviated title	MICCAI 1999
Country/Territory	United Kingdom
City	Cambridge
Period	19/09/99 → 22/09/99

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10.1007/10704282_76

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@inproceedings{171f24246b8447b7acb7d2e951e5aeab,

title = "Image Analysis of Nailfold Capillary Patterns From Video Sequences",

abstract = "Video capillaroscopy is a widely used technique to assess the condition of the blood capillaries in the nailfold of patients suffering from reduced peripheral circulation (Raynaud{\textquoteright}s phenomenon). This approach is complicated by the fact that gaps in the flow of blood can render capillaries incomplete in any single video frame. This paper describes a computer based system in which sequences of video frames are registered and combined to provide a composite image for analysis. We show that the images can be registered to an accuracy of approximately 2 μm, and that temporally variable features can be enhanced significantly by subtracting one standard deviation from the mean value for each pixel position in the video sequence.",

author = "Philip Allen and Taylor, {C J} and Herrick, {A L} and T Moore",

year = "1999",

doi = "10.1007/10704282_76",

language = "English",

pages = "698--705",

booktitle = "Medical Image Computing and Computer-Assisted Intervention",

publisher = "Springer Nature",

address = "United States",

note = " Medical Image Computing and Computer-Assisted Intervention , MICCAI 1999 ; Conference date: 19-09-1999 Through 22-09-1999",

}

TY - GEN

T1 - Image Analysis of Nailfold Capillary Patterns From Video Sequences

AU - Allen, Philip

AU - Taylor, C J

AU - Herrick, A L

AU - Moore, T

PY - 1999

Y1 - 1999

N2 - Video capillaroscopy is a widely used technique to assess the condition of the blood capillaries in the nailfold of patients suffering from reduced peripheral circulation (Raynaud’s phenomenon). This approach is complicated by the fact that gaps in the flow of blood can render capillaries incomplete in any single video frame. This paper describes a computer based system in which sequences of video frames are registered and combined to provide a composite image for analysis. We show that the images can be registered to an accuracy of approximately 2 μm, and that temporally variable features can be enhanced significantly by subtracting one standard deviation from the mean value for each pixel position in the video sequence.

AB - Video capillaroscopy is a widely used technique to assess the condition of the blood capillaries in the nailfold of patients suffering from reduced peripheral circulation (Raynaud’s phenomenon). This approach is complicated by the fact that gaps in the flow of blood can render capillaries incomplete in any single video frame. This paper describes a computer based system in which sequences of video frames are registered and combined to provide a composite image for analysis. We show that the images can be registered to an accuracy of approximately 2 μm, and that temporally variable features can be enhanced significantly by subtracting one standard deviation from the mean value for each pixel position in the video sequence.

U2 - 10.1007/10704282_76

DO - 10.1007/10704282_76

M3 - Conference contribution

SP - 698

EP - 705

BT - Medical Image Computing and Computer-Assisted Intervention

PB - Springer Nature

CY - Cambridge

T2 - Medical Image Computing and Computer-Assisted Intervention

Y2 - 19 September 1999 through 22 September 1999

ER -

Image Analysis of Nailfold Capillary Patterns From Video Sequences

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Conference

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