Automatic landmark detection for cervical image registration validation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03134570" target="_blank" >RIV/68407700:21230/07:03134570 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Automatic landmark detection for cervical image registration validation

Original language description

Many cervical Computer-Aided Diagnosis (CAD) methods rely on measuring gradual appearance changes on the cervix after the application of a contrast agent. Image registration has been used to ensure pixel correspondence to the same tissue location throughout the whole temporal sequence but, to date, there is no reliable mean of testing its accuracy to compensate for patient and tissue movement. We present an independent system to use automatically extracted and matched features from a colposcopic image sequence in order to generate position landmarks. These landmarks may be used either to measure the accuracy of a registration method to align any pair of images from the colposcopic sequence or as a cue for registration. The algorithm selects sets of matched features that extend through the whole image sequence allowing to locate, in a reliable and unbiased way, a tissue point throughout the whole image sequence.

Czech name

Automatic landmark detection for cervical image registration validation

Czech description

Many cervical Computer-Aided Diagnosis (CAD) methods rely on measuring gradual appearance changes on the cervix after the application of a contrast agent. Image registration has been used to ensure pixel correspondence to the same tissue location throughout the whole temporal sequence but, to date, there is no reliable mean of testing its accuracy to compensate for patient and tissue movement. We present an independent system to use automatically extracted and matched features from a colposcopic image sequence in order to generate position landmarks. These landmarks may be used either to measure the accuracy of a registration method to align any pair of images from the colposcopic sequence or as a cue for registration. The algorithm selects sets of matched features that extend through the whole image sequence allowing to locate, in a reliable and unbiased way, a tissue point throughout the whole image sequence.

Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

<a href="/en/project/1ET101050403" target="_blank" >1ET101050403: Artificial inteligence methods in diagnostics from medical images</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SPIE 2007, Medical Imaging 2007: Computer-Aided Diagnosis

ISBN

978-0-8194-6630-3

ISSN

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e-ISSN

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Number of pages

10

Pages from-to

54-63

Publisher name

SPIE

Place of publication

Bellingham

Event location

San Diego, California

Event date

Feb 17, 2007

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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