Stochastic Extraction of Elongated Curvilinear Structures in Mammographic Images

被引：0

作者：

Krylov, Vladimir A. ^{[1
]}

Taylor, Stuart ^{[2
]}

Nelson, James D. B. ^{[1
]}

机构：

[1] UCL, Dept Stat Sci, Mortimer St, London WC1E 6BT, England

[2] UCL, Ctr Med Imaging, London WC1E 6BT, England

来源：

IMAGE ANALYSIS AND RECOGNITION | 2013年 / 7950卷

基金：

英国工程与自然科学研究理事会;

关键词：

Curvilinear structure; mammogram; localized Radon transform; Markov chain Monte Carlo; LINEAR STRUCTURES;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The extraction of elongated curvilinear structure in mammographic images is an important objective for the automated detection of breast cancers. We develop an approach which relies on a fixed-grid, localized Radon transform for line segment extraction and a Markov random field model to incorporate local interactions and refine the line structure. The energy of the resulting distribution is minimized stochastically via a Markov chain Monte Carlo iterative procedure. Experimental results demonstrate that the method can accurately extract blurred and low-contrast elongated continuous curvilinear structures, including those radiating from cancerous masses.

引用

页码：475 / 484

页数：10

共 50 条

[21] Feature extraction from mammographic images using fast marching methods
Bottigli, U
Golosio, B
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2002, 487 (1-2): : 209 - 215
[22] Detection of curvilinear structures and reconstruction of their regions in gray-scale images
Jang, JH
Hong, KS
PATTERN RECOGNITION, 2002, 35 (04) : 807 - 824
[23] An unbiased algorithm for detection of curvilinear structures in urban remote sensing images
Peng, J.
Jin, Y. -Q.
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2007, 28 (23) : 5377 - 5395
[24] Morphological filtering and stochastic modeling-based segmentation of masses on mammographic images
Li, H
Liu, KJR
Wang, Y
Lo, SCB
1996 IEEE NUCLEAR SCIENCE SYMPOSIUM - CONFERENCE RECORD, VOLS 1-3, 1997, : 1792 - 1796
[25] CURVILINEAR STRUCTURES EXTRACTION IN CLUTTERED BIOIMAGING DATA WITH DISCRETE OPTIMIZATION METHODS
Honnorat, Nicolas
Vaillant, Regis
Duncan, James S.
Paragios, Nikos
2011 8TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, 2011, : 1353 - 1357
[26] Automatic and Semi-automatic Extraction of Curvilinear Features from SAR Images
Akyilmaz, Emre
Okman, O. Erman
Nar, Fatih
Cetin, Mujdat
SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XII, 2012, 8536
[27] Extraction of Virtual Baselines from Distorted Document Images Using Curvilinear Projection
Meng, Gaofeng
Huang, Zuming
Song, Yonghong
Xiang, Shiming
Pan, Chunhong
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2015, : 3925 - 3933
[28] Comparing mammographic images
Angelo, Michele F.
Patrocinio, Ana C.
Schiabel, Homero
Medeiros, Regina Bitelli
Pires, Silvio R.
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE, 2008, 27 (03): : 74 - 81
[29] Detection of elongated structures by using invertible angular representations of scalar images.
Kalitzin, SN
Romeny, BMT
Viergever, MA
1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3, 1998, : 60 - 64
[30] Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis
Bas, E.
Erdogmus, D.
Draft, R. W.
Lichtman, J. W.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2012, 23 (08) : 1260 - 1271

← 1 2 3 4 5 →