Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction

Jingjing Zhang; Stephen J. McKenna; Jianguo Zhang; Maria Coats; Francis A. Carey

Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction

Jingjing Zhang
, Stephen J. McKenna
, Jianguo Zhang
, Maria Coats
, Francis A. Carey

Computing

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

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Abstract

We present an initial study analysing the surface morphology of colorectal polyps from optical projection tomography. The differential geometry of polyp surfaces, segmented using a level sets method, is explored in terms of local, multi-scale shape index and curvedness descriptors. A surface region of interest can be represented using histograms of these descriptors. An experiment is described investigating the ability to predict pit pattern categories from these histograms using support vector machines.

Original language	English
Title of host publication	Medical Image Understanding and Analysis
Subtitle of host publication	MIUA
Editors	Constantino Reyes-Aldasoro, Greg Slabaugh
Place of Publication	United Kingdom
Publisher	British Machine Vision Association and Society for Pattern Recognition
Pages	67-72
Number of pages	6
ISBN (Print)	1901725510
Publication status	Published - Jul 2014
Event	18th Annual Conference in Medical Image Understanding and Analysis - Moore Complex, Royal Holloway, London, United Kingdom Duration: 9 Jul 2014 → 11 Jul 2014 http://www.city.ac.uk/medical-image-understanding-and-analysis-2014

Conference

Conference	18th Annual Conference in Medical Image Understanding and Analysis
Abbreviated title	MIUA 2014
Country/Territory	United Kingdom
City	London
Period	9/07/14 → 11/07/14
Internet address	http://www.city.ac.uk/medical-image-understanding-and-analysis-2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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http://staff.city.ac.uk/~sbbh653/MIUA2014Proceedings.pdf

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Zhang, J., McKenna, S. J., Zhang, J., Coats, M., & Carey, F. A. (2014). Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction. In C. Reyes-Aldasoro, & G. Slabaugh (Eds.), Medical Image Understanding and Analysis: MIUA (pp. 67-72). British Machine Vision Association and Society for Pattern Recognition. http://staff.city.ac.uk/~sbbh653/MIUA2014Proceedings.pdf

Zhang, Jingjing ; McKenna, Stephen J. ; Zhang, Jianguo et al. / Analysing the Surface Morphology of Colorectal Polyps : Differential Geometry and Pit Pattern Prediction. Medical Image Understanding and Analysis: MIUA. editor / Constantino Reyes-Aldasoro ; Greg Slabaugh. United Kingdom : British Machine Vision Association and Society for Pattern Recognition, 2014. pp. 67-72

@inproceedings{0ddb348b2e9f454babcbb879847f2d84,

title = "Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction",

abstract = "We present an initial study analysing the surface morphology of colorectal polyps from optical projection tomography. The differential geometry of polyp surfaces, segmented using a level sets method, is explored in terms of local, multi-scale shape index and curvedness descriptors. A surface region of interest can be represented using histograms of these descriptors. An experiment is described investigating the ability to predict pit pattern categories from these histograms using support vector machines.",

author = "Jingjing Zhang and McKenna, \{Stephen J.\} and Jianguo Zhang and Maria Coats and Carey, \{Francis A.\}",

year = "2014",

month = jul,

language = "English",

isbn = "1901725510",

pages = "67--72",

editor = "Constantino Reyes-Aldasoro and Greg Slabaugh",

booktitle = "Medical Image Understanding and Analysis",

publisher = "British Machine Vision Association and Society for Pattern Recognition",

note = "18th Annual Conference in Medical Image Understanding and Analysis , MIUA 2014 ; Conference date: 09-07-2014 Through 11-07-2014",

url = "http://www.city.ac.uk/medical-image-understanding-and-analysis-2014",

}

Zhang, J, McKenna, SJ, Zhang, J, Coats, M & Carey, FA 2014, Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction. in C Reyes-Aldasoro & G Slabaugh (eds), Medical Image Understanding and Analysis: MIUA. British Machine Vision Association and Society for Pattern Recognition, United Kingdom, pp. 67-72, 18th Annual Conference in Medical Image Understanding and Analysis , London, United Kingdom, 9/07/14. <http://staff.city.ac.uk/~sbbh653/MIUA2014Proceedings.pdf>

Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction. / Zhang, Jingjing; McKenna, Stephen J.; Zhang, Jianguo et al.
Medical Image Understanding and Analysis: MIUA. ed. / Constantino Reyes-Aldasoro; Greg Slabaugh. United Kingdom: British Machine Vision Association and Society for Pattern Recognition, 2014. p. 67-72.

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

TY - GEN

T1 - Analysing the Surface Morphology of Colorectal Polyps

T2 - 18th Annual Conference in Medical Image Understanding and Analysis

AU - Zhang, Jingjing

AU - McKenna, Stephen J.

AU - Zhang, Jianguo

AU - Coats, Maria

AU - Carey, Francis A.

PY - 2014/7

Y1 - 2014/7

N2 - We present an initial study analysing the surface morphology of colorectal polyps from optical projection tomography. The differential geometry of polyp surfaces, segmented using a level sets method, is explored in terms of local, multi-scale shape index and curvedness descriptors. A surface region of interest can be represented using histograms of these descriptors. An experiment is described investigating the ability to predict pit pattern categories from these histograms using support vector machines.

AB - We present an initial study analysing the surface morphology of colorectal polyps from optical projection tomography. The differential geometry of polyp surfaces, segmented using a level sets method, is explored in terms of local, multi-scale shape index and curvedness descriptors. A surface region of interest can be represented using histograms of these descriptors. An experiment is described investigating the ability to predict pit pattern categories from these histograms using support vector machines.

M3 - Conference contribution

SN - 1901725510

SP - 67

EP - 72

BT - Medical Image Understanding and Analysis

A2 - Reyes-Aldasoro, Constantino

A2 - Slabaugh, Greg

PB - British Machine Vision Association and Society for Pattern Recognition

CY - United Kingdom

Y2 - 9 July 2014 through 11 July 2014

ER -

Analysing the Surface Morphology of Colorectal Polyps: Differential Geometry and Pit Pattern Prediction

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UN SDGs

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