Interactive visual analysis of contrast-enhanced ultrasound data based on small neighborhood statistics

被引:17
作者
Angelelli, Paolo [1 ]
Nylund, Kim [2 ]
Gilja, Odd Helge [2 ,3 ]
Hauser, Helwig [1 ]
机构
[1] Univ Bergen, Dept Informat, N-5020 Bergen, Norway
[2] Univ Bergen, Inst Med, N-5020 Bergen, Norway
[3] Haukeland Hosp, Natl Ctr Gastroenterol Ultrasonog, N-5021 Bergen, Norway
来源
COMPUTERS & GRAPHICS-UK | 2011年 / 35卷 / 02期
关键词
Medical visualization; Interactive visual analysis; Contrast-enhanced ultrasound; BREAST-LESIONS; LIVER-LESIONS; IMAGES; VISUALIZATION; SEGMENTATION; DIAGNOSIS; US;
D O I
10.1016/j.cag.2010.12.005
中图分类号
TP31 [计算机软件];
学科分类号
081205 [计算机软件];
摘要
Contrast-enhanced ultrasound (CEUS) has recently become an important technology for lesion detection and characterization in cancer diagnosis. CEUS is used to investigate the perfusion kinetics in tissue over time, which relates to tissue vascularization. In this paper we present a pipeline that enables interactive visual exploration and semi-automatic segmentation and classification of CEUS data. For the visual analysis of this challenging data, with characteristic noise patterns and residual movements, we propose a robust method to derive expressive enhancement measures from small spatio-temporal neighborhoods. We use this information in a staged visual analysis pipeline that leads from a more local investigation to global results such as the delineation of anatomic regions according to their perfusion properties. To make the visual exploration interactive, we have developed an accelerated framework based on the OpenCL library, that exploits modern many-cores hardware. Using our application, we were able to analyze datasets from CEUS liver examinations, being able to identify several focal liver lesions, segment and analyze them quickly and precisely, and eventually characterize them. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:218 / 226
页数:9
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