Robust Colon Residue Detection Using Vector Quantization Based Classification for Virtual Colonoscopy

机译：使用基于矢量量化的虚拟结肠镜检查分类进行强大的结肠残留检测

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摘要

We present an automatic and robust tagged-residue detection technique using vector quantization based classification. This technique enables electronic cleansing even on poorly tagged datasets, leading to more effective virtual colonoscopy. In order to reduce the sensitivity towards intensity variation among the tagged residual material, we use a multi-step technique. First, we apply classification using an unsupervised and self-adapting vector quantization algorithm. Then, we sort the resultant classes by their average intensities. We apply thresholding on these classes based on a conservative threshold. This helps us in differentiating soft tissue inside tagged material from poorly tagged region or noise.

机译：我们提出了一种自动和鲁棒的标记残留检测技术，使用基于矢量量化的分类。该技术甚至可以在标记较差的数据集上进行电子清洗，从而实现更有效的虚拟结肠镜检查。为了降低对标记残留材料之间的强度变化的敏感性，我们使用了多步技术。首先，我们使用无监督且自适应的矢量量化算法进行分类。然后，我们根据所得类别的平均强度对其进行排序。我们基于保守的阈值对这些类别应用阈值。这有助于我们区分标记材料内部的软组织和标记不良的区域或噪声。

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来源
《Conference on Physiology and Function: Methods, Systems, and Applications Feb 16-18, 2003 San Diego, California, USA》|2003年|p.515-520|共6页
会议地点 San Diego CA(US)
作者
Sarang Lakare; Dongqing Chen; Lihong Li; Arie Kaufman; Mark Wax; Zhengrong Liang;
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作者单位

Department of Computer Science and Radiology, Stony Brook University, Stony Brook, NY 11794, USA;

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原文格式 PDF
正文语种 eng
中图分类基础医学;
关键词
virtual colonoscopy; vector quantization; segmentation; electronic cleansing;

机译：虚拟结肠镜;矢量量化;分割;电子清洗;

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专利

1. Unsupervised vector quantization-based target subspace projection approach to mixed pixel detection and classification in unknown background for remotely sensed imagery [J] . Brumbley Clark, Chang Chein-I Pattern Recognition: The Journal of the Pattern Recognition Society . 1999,第7期

机译：基于无监督矢量量化的目标子空间投影方法在遥感图像未知背景下的混合像素检测与分类
2. Multidetector CT colonoscopy: evaluation of the perspective-filet view virtual colon dissection technique for the detection of elevated lesions. [J] . Carrascosa P, Capunay C, Lopez EM, Abdominal imaging. . 2007,第5期

机译：Multidetector CT结肠镜检查：透视场视图虚拟结肠解剖技术对升高病变的检测的评估。
3. Multidetector CT colonoscopy: evaluation of the perspective-filet view virtual colon dissection technique for the detection of elevated lesions [J] . Patricia Carrascosa, Carlos Capu?ay, Elba Martín López, Abdominal Imaging . 2007,第5期

机译：多探测器CT结肠镜检查：透视场视图虚拟结肠解剖技术对升高病变的检测的评估
4. Robust Colon Residue Detection Using Vector Quantization Based Classification for Virtual Colonoscopy [C] . Sarang Lakare, Dongqing Chen, Lihong Li, Society of Photo-Optical Instrumentation Engineers Conference on Medical Imaging : Physiology and Function--Methods, Systems, and Applications . 2003

机译：基于Virtual Colonoscopy的矢量量化分类鲁棒结肠残留检测
5. Classification and compression of multi-resolution vectors: A tree structured vector quantizer approach. [D] . Varma, Sudhir. 2002

机译：多分辨率矢量的分类和压缩：一种树结构矢量量化器方法。
6. Classification of Small Contrast Enhancing Breast Lesions in Dynamic Magnetic Resonance Imaging Using a Combination of Morphological Criteria and Dynamic Analysis Based on Unsupervised Vector-Quantization [O] . Thomas Schlossbauer, Gerda Leinsinger, Axel Wismuller, -1

机译：基于形态学准则和基于无监督矢量量化的动力学分析的动态磁共振成像中小对比度增强乳腺病变的分类
7. Robust Colon Residue Detection Using Vector Quantization Based Classification For Virtual Colonoscopy [O] . Sarang Lakare, Dongqing Chen, Lihong Li, 2003

机译：基于向量量化的虚拟结肠镜检查分类的鲁棒结肠残留检测

Robust Colon Residue Detection Using Vector Quantization Based Classification for Virtual Colonoscopy

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