Automatic mammographic registration: Towards the detection of abnormalities

R. Marti; R. Zwiggelaar; C. M. E. Rubin

Automatic mammographic registration: Towards the detection of abnormalities

R. Marti, R. Zwiggelaar, C. M. E. Rubin

School of Computing Sciences

Research output: Contribution to conference › Poster

Abstract

A novel method to obtain correspondence between landmarks when comparing pairs of mammographic images from the same patient is presented. Our approach is based on automatically establishing correspondence between linear structures (i.e. ducts and vessels) which appear in mammograms using robust features such as orientation, width and curvature extracted from those structures. Registration results are presented which show the potential use of the developed approach for the detection of abnormalities in mammograms

Original language	English
Pages	149-152
Number of pages	4
Publication status	Published - Jul 2001
Event	Medical Image Understanding Analysis - University of Birmingham, Birmingham, United Kingdom Duration: 16 Jul 2001 → 17 Jul 2001

Conference

Conference	Medical Image Understanding Analysis
Abbreviated title	MIUA'01
Country/Territory	United Kingdom
City	Birmingham
Period	16/07/01 → 17/07/01

Cite this

@conference{dcf5b962bd9f45828bf0cd9eff49637a,

title = "Automatic mammographic registration: Towards the detection of abnormalities",

abstract = "A novel method to obtain correspondence between landmarks when comparing pairs of mammographic images from the same patient is presented. Our approach is based on automatically establishing correspondence between linear structures (i.e. ducts and vessels) which appear in mammograms using robust features such as orientation, width and curvature extracted from those structures. Registration results are presented which show the potential use of the developed approach for the detection of abnormalities in mammograms",

author = "R. Marti and R. Zwiggelaar and Rubin, {C. M. E.}",

year = "2001",

month = jul,

language = "English",

pages = "149--152",

note = "Medical Image Understanding Analysis, MIUA'01 ; Conference date: 16-07-2001 Through 17-07-2001",

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TY - CONF

T1 - Automatic mammographic registration: Towards the detection of abnormalities

AU - Marti, R.

AU - Zwiggelaar, R.

AU - Rubin, C. M. E.

PY - 2001/7

Y1 - 2001/7

N2 - A novel method to obtain correspondence between landmarks when comparing pairs of mammographic images from the same patient is presented. Our approach is based on automatically establishing correspondence between linear structures (i.e. ducts and vessels) which appear in mammograms using robust features such as orientation, width and curvature extracted from those structures. Registration results are presented which show the potential use of the developed approach for the detection of abnormalities in mammograms

AB - A novel method to obtain correspondence between landmarks when comparing pairs of mammographic images from the same patient is presented. Our approach is based on automatically establishing correspondence between linear structures (i.e. ducts and vessels) which appear in mammograms using robust features such as orientation, width and curvature extracted from those structures. Registration results are presented which show the potential use of the developed approach for the detection of abnormalities in mammograms

M3 - Poster

SP - 149

EP - 152

T2 - Medical Image Understanding Analysis

Y2 - 16 July 2001 through 17 July 2001

ER -