Relationship between ultrasound texture classification images and histology of atherosclerotic plaque

被引:40
|
作者
Rakebrandt, F
Crawford, DC
Havard, D
Coleman, D
Woodcock, JP
机构
[1] Cardiff Univ, Dept Med Phys & Clin Engn, Cardiff CF4 4XN, S Glam, Wales
[2] Univ Wales Hosp, Dept Med Phys & Clin Engn, Cardiff CF4 4XW, S Glam, Wales
[3] Univ Wales Hosp, Dept Histopathol, Cardiff CF4 4XW, S Glam, Wales
[4] Vale NHS Trust, Cardiff, S Glam, Wales
来源
ULTRASOUND IN MEDICINE AND BIOLOGY | 2000年 / 26卷 / 09期
关键词
carotid plaque; atherosclerosis; tissue characterisation; B-scan; texture analysis; histology mapping; parametric images;
D O I
10.1016/S0301-5629(00)00314-8
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Structure and content of atherosclerotic plaque varies between patients and may be indicative of their risk for embolisation. This study aimed to construct parametric images of B-scan texture and assess their potential for predicting plaque morphology. Sequential transverse in vitro scans of 10 carotid plaques, excised during endarterectomy, were compared with macrohistology maps of plaque content. Multidiscriminant analysis combined the output of 157 statistical and textural algorithms into five separate texture classes, displayed as ultrasound (US) texture classification images (UTCI). Visual comparison between corresponding UTCI and histology maps found the five texture classes matched with the location of fibrin, elastin, calcium, haemorrhage or lipid. However, histology preparation removes calcium and lipid and, so, can affect the structural integrity of atherosclerotic plaques. Soft tissue regions smaller than the UTCI kernel, (0.87 mm x 0.85 mm x 3.9 mm), such as blood clots, are also difficult to detect by UTCI. These factors demonstrate limitations in the use of histology as a "gold standard" for US tissue characterisation. (C) 2001 World Federation for Ultrasound in Medicine & Biology.
引用
收藏
页码:1393 / 1402
页数:10
相关论文
共 50 条
  • [31] Texture based segmentation method to detect atherosclerotic plaque from optical tomography images
    Prakash, Ammu
    Hewko, Mark
    Sowa, Michael
    Sherif, Sherif
    OPTICAL COHERENCE TOMOGRAPHY AND COHERENCE TECHNIQUES VI, 2013, 8802
  • [32] AN AUTOMATED METHOD FOR ATHEROSCLEROTIC PLAQUE CHARACTERIZATION AND QUANTIFICATION USING INTRAVASCULAR ULTRASOUND IMAGES
    Athanasiou, L. S.
    Fotiadis, D. I.
    Tsakanikas, V. D.
    Naka, K. K.
    Michalis, L. K.
    ADVANCED TOPICS IN SCATTERING THEORY AND BIOMEDICAL ENGINEERING, 2010, : 63 - 78
  • [33] A method to create reference maps for evaluation of ultrasound images of carotid atherosclerotic plaque
    Wilhjelm, JE
    Jensen, MS
    Gammelmark, KL
    Sahl, B
    Martinsen, K
    Hansen, JU
    Brandt, T
    Jespersen, SK
    Falk, E
    Fredfeldt, KE
    Sillesen, H
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2004, 30 (09): : 1119 - 1131
  • [34] Variability in the measurement of intracoronary ultrasound images: Implications for the identification of atherosclerotic plaque regression
    Foster, GP
    Mittleman, MA
    Koch, M
    Abela, G
    Zarich, SW
    CLINICAL CARDIOLOGY, 1997, 20 (01) : 11 - 15
  • [35] IMPACT OF HYPERCHOLESTEROLEMIA ON ATHEROSCLEROTIC PLAQUE COMPOSITION: A VIRTUAL HISTOLOGY INTRAVASCULAR ULTRASOUND ANALYSIS FROM PROSPECT
    Caixeta, Adriano M.
    Weisz, Giora
    Maehara, Akiko
    Mintz, Gary S.
    Cristea, Ecaterina
    Mehran, Roxana
    Fahy, Martin
    Xu, Ke
    Lansky, Alexandra J.
    McPherson, John
    De Bruyne, Bernard
    Serruys, Patrick W.
    Stone, Gregg W.
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2011, 57 (14) : E1678 - E1678
  • [36] Identification of atherosclerotic plaque components using cluster analysis of multispectral MR images: comparison with histology
    Clarke, S
    Rutt, B
    Lucas, A
    Lownie, S
    Hammond, R
    Mitchell, JR
    MEDICAL IMAGING 2000: PHYSIOLOGY AND FUNCTION FORM MULTIDIMENSIONAL IMAGES, 2000, 3978 : 304 - 311
  • [37] The differences between plaque compositions in ruptured and non-ruptured atherosclerotic plaques. Study with intravascular ultrasound and virtual histology
    Kovarnik, Tomas
    Horak, Jan
    Dostal, Ondrej
    Aschermann, Michael
    Linhart, Ales
    AMERICAN JOURNAL OF CARDIOLOGY, 2007, 100 (8A): : 232L - 232L
  • [38] Texture Analysis on Thyroid Ultrasound Images for the Classification of Hashimoto Thyroiditis
    Kohila, S.
    Malliga, G. Sankara
    COMPUTER AIDED INTERVENTION AND DIAGNOSTICS IN CLINICAL AND MEDICAL IMAGES, 2019, 31 : 271 - 279
  • [39] RELATIONSHIP BETWEEN VALVULAR CALCIFICATIONS AND PLAQUE MORPHOLOGY IN CORONARY ARTERY DISEASE: A VIRTUAL HISTOLOGY INTRAVASCULAR ULTRASOUND STUDY
    Senguttuvan, Nagendra Boopathy
    Kim, Sang-Wook
    Mintz, Gary
    Mishra, Sundeep
    Lee, Wang S.
    Kwon, Jee-Eun
    Hyun, Sung H.
    Kim, Hyang Kyung
    Seo, Jae S.
    Seok, Ju W.
    Kim, Eun Y.
    Hong, Joon H.
    Lee, Kwang J.
    Kim, Chee J.
    Kim, Tae H.
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2013, 61 (10) : E1191 - E1191
  • [40] The Relationship Between Progression of Coronary Artery Plaques and Plaque Composition-Virtual Histology Intravascular Ultrasound Analysis
    Miyai, Nobuyuki
    Yamada, Takeshi
    Nakamura, Reo
    Irie, Hidekazu
    Kinoshita, Noriyuki
    AMERICAN JOURNAL OF CARDIOLOGY, 2008, 102 (8A): : 196I - 196I