False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry

Ju Lynn Ong; Abd Krim Seghouane

doi:10.1109/ISBI.2009.5192990

False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry

Ju Lynn Ong, Abd Krim Seghouane

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

5 Citations (Scopus)

Abstract

Existing polyp detection methods rely heavily on curvaturebased characteristics to differentiate between lesions. However, as curvature is a local feature and a second order differential quantity, noise caused by small bumpy structures and incoherent curvature fields of a discretized volume or surface can greatly increase the number of false positives (FPs) detected. This paper investigates a spectral compression and curvature tensor smoothing algorithm with the aim to reduce the number of FPs detected while preserving true positives. Simulation results give 96% sensitivity for polyps >10mm while reducing FPs by 92%.

Original language	English
Title of host publication	Proceedings - 2009 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2009
Pages	89-92
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2009.5192990
Publication status	Published - 2009
Event	2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States Duration: 28 Jun 2009 → 1 Jul 2009

Publication series

Name	Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Conference

Conference	2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Country/Territory	United States
City	Boston, MA
Period	28/06/09 → 1/07/09

Access to Document

10.1109/ISBI.2009.5192990

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Ong, J. L., & Seghouane, A. K. (2009). False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 (pp. 89-92). Article 5192990 (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009). https://doi.org/10.1109/ISBI.2009.5192990

Ong, Ju Lynn ; Seghouane, Abd Krim. / False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry. Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. pp. 89-92 (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

@inproceedings{815071a4ddf24a8291f5e00a6090d356,

title = "False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry",

abstract = "Existing polyp detection methods rely heavily on curvaturebased characteristics to differentiate between lesions. However, as curvature is a local feature and a second order differential quantity, noise caused by small bumpy structures and incoherent curvature fields of a discretized volume or surface can greatly increase the number of false positives (FPs) detected. This paper investigates a spectral compression and curvature tensor smoothing algorithm with the aim to reduce the number of FPs detected while preserving true positives. Simulation results give 96% sensitivity for polyps >10mm while reducing FPs by 92%.",

keywords = "CAD, Computed tomography (CT), Curvature, Geometry processing, Polyp detection",

author = "Ong, {Ju Lynn} and Seghouane, {Abd Krim}",

year = "2009",

doi = "10.1109/ISBI.2009.5192990",

language = "English",

isbn = "9781424439324",

series = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009",

pages = "89--92",

booktitle = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging",

note = "2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 ; Conference date: 28-06-2009 Through 01-07-2009",

}

Ong, JL & Seghouane, AK 2009, False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry. in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009., 5192990, Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp. 89-92, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, Boston, MA, United States, 28/06/09. https://doi.org/10.1109/ISBI.2009.5192990

False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry. / Ong, Ju Lynn; Seghouane, Abd Krim.
Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 89-92 5192990 (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009).

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

TY - GEN

T1 - False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry

AU - Ong, Ju Lynn

AU - Seghouane, Abd Krim

PY - 2009

Y1 - 2009

N2 - Existing polyp detection methods rely heavily on curvaturebased characteristics to differentiate between lesions. However, as curvature is a local feature and a second order differential quantity, noise caused by small bumpy structures and incoherent curvature fields of a discretized volume or surface can greatly increase the number of false positives (FPs) detected. This paper investigates a spectral compression and curvature tensor smoothing algorithm with the aim to reduce the number of FPs detected while preserving true positives. Simulation results give 96% sensitivity for polyps >10mm while reducing FPs by 92%.

AB - Existing polyp detection methods rely heavily on curvaturebased characteristics to differentiate between lesions. However, as curvature is a local feature and a second order differential quantity, noise caused by small bumpy structures and incoherent curvature fields of a discretized volume or surface can greatly increase the number of false positives (FPs) detected. This paper investigates a spectral compression and curvature tensor smoothing algorithm with the aim to reduce the number of FPs detected while preserving true positives. Simulation results give 96% sensitivity for polyps >10mm while reducing FPs by 92%.

KW - CAD

KW - Computed tomography (CT)

KW - Curvature

KW - Geometry processing

KW - Polyp detection

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U2 - 10.1109/ISBI.2009.5192990

DO - 10.1109/ISBI.2009.5192990

M3 - Conference contribution

SN - 9781424439324

T3 - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

SP - 89

EP - 92

BT - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging

T2 - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

Y2 - 28 June 2009 through 1 July 2009

ER -

Ong JL, Seghouane AK. False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 89-92. 5192990. (Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009). doi: 10.1109/ISBI.2009.5192990

False positive reduction in CT colonography using spectral compression and curvature tensor smoothing of surface geometry

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