Texture analysis in non-contrast enhanced CT: Impact of malignancy on texture in apparently disease-free areas of the liver

被引:113
作者
Ganeshan, Balaji [1 ]
Miles, Kenneth A. [2 ]
Young, Rupert C. D. [1 ]
Chatwin, Chris R. [1 ]
机构
[1] Univ Sussex, Dept Engn & Design, Brighton BN1 9QT, E Sussex, England
[2] Univ Sussex, Div Clin & Lab Sci, Brighton & Sussex Med Sch, Brighton BN1 9PX, E Sussex, England
关键词
Colorectal cancer; Computed tomography (CT); Image processing; Computed-assisted; Texture analysis; COLORECTAL-CANCER; HEPATIC ENHANCEMENT; CLASSIFICATION; SEGMENTATION; ANGIOGRAPHY; METASTASES; PERFUSION; LESIONS;
D O I
10.1016/j.ejrad.2007.12.005
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objectives: To determine whether texture analysis of non-contrast enhanced computed tomography (CT) images in apparently disease-free areas of the liver is altered by the presence of extra- and intra-hepatic malignancy in colorectal cancer patients. Materials and methods: Hepatic attenuation and texture were assessed from non-contrast enhanced CT in three groups of colorectal cancer patients: (A) 15 controls with no malignancy; (B) nine patients with extra-hepatic malignancy but no liver involvement; (C) eight patients with hepatic metastases. Regions of interest were manually constructed only over apparently normal areas of liver tissue excluding major blood vessels and areas of intra-hepatic fat, which may otherwise alter CT texture irrespective of the presence of malignancy. Texture was analysed on unfiltered images and following band-pass image filtration to highlight image features at different spatial frequencies (fine: 2 pixels/1.68 mm in width, medium: 6 pixels/5.04 mm and coarse: 12 pixels/10.08 mm). The relative contributions made to the image by features at two different spatial frequencies were expressed as filter ratios (fine/medium, fine/coarse and medium/coarse). Texture was quantified as mean grey-level intensity, entropy and uniformity. Results: Texture was not altered on unfiltered images whereas relative texture analysis following image filtration identified differences in fine to medium texture ratios in apparently disease-free areas of the liver in patients with hepatic metastases as compared to patients with no tumour (entropy, p = 0.0257) and patients with extra-hepatic disease (uniformity, p = 0.0143). Conclusions: Relative texture analysis of unenhanced hepatic CT can reveal changes in apparently disease-free areas of the liver that have previously required more complex perfusion measurements for detection. (C) 2007 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:101 / 110
页数:10
相关论文
共 42 条
[1]   Toward a better understanding of texture in vascular CT scan simulated images [J].
Bézy-Wendling, J ;
Kretowski, M ;
Rolland, Y ;
Le Bidon, W .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2001, 48 (01) :120-124
[2]   Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT [J].
Bilello, M ;
Gokturk, SB ;
Desser, T ;
Napel, S ;
Jeffrey, RB ;
Beaulieu, CF .
MEDICAL PHYSICS, 2004, 31 (09) :2584-2593
[3]   CLASSIFICATION OF TEXTURES USING GAUSSIAN MARKOV RANDOM-FIELDS [J].
CHELLAPPA, R ;
CHATTERJEE, S .
IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1985, 33 (04) :959-963
[4]   THE POWER SPECTRAL DENSITY AS A TEXTURE MEASURE IN COMPUTED TOMOGRAPHIC SCANS OF THE LIVER [J].
COLEMAN, AJ ;
TONGE, KA ;
RANKIN, SC .
BRITISH JOURNAL OF RADIOLOGY, 1982, 55 (656) :601-603
[5]   A THEORETICAL COMPARISON OF TEXTURE ALGORITHMS [J].
CONNERS, RW ;
HARLOW, CA .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1980, 2 (03) :204-222
[6]   MARKOV RANDOM FIELD TEXTURE MODELS [J].
CROSS, GR ;
JAIN, AK .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1983, 5 (01) :25-39
[7]   MODELING AND SEGMENTATION OF NOISY AND TEXTURED IMAGES USING GIBBS RANDOM-FIELDS [J].
DERIN, H ;
ELLIOTT, H .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1987, 9 (01) :39-55
[8]   Colorectal cancer surveillance: 2005 update of an American Society of Clinical Oncology practice guideline [J].
Desch, CE ;
Benson, A ;
Somerfield, MR ;
Flynn, PJ ;
Krause, C ;
Loprinzi, CL ;
Minsky, BD ;
Pfister, DG ;
Virgo, KS ;
Petrelli, NJ .
JOURNAL OF CLINICAL ONCOLOGY, 2005, 23 (33) :8512-8519
[9]   Hepatic entropy and uniformity: additional parameters that can potentially increase the effectiveness of contrast enhancement during abdominal CT [J].
Ganeshan, B. ;
Miles, K. A. ;
Young, R. C. D. ;
Chatwin, C. R. .
CLINICAL RADIOLOGY, 2007, 62 (08) :761-768
[10]   Hepatic enhancement in colorectal cancer: Texture analysis correlates with hepatic hemodynamics and patient survival [J].
Ganeshan, Balaji ;
Miles, Kenneth A. ;
Young, Rupert C. D. ;
Chatwin, Chris R. .
ACADEMIC RADIOLOGY, 2007, 14 (12) :1520-1530