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首页> 外文会议>Conference on Physiology and Function: Methods, Systems, and Applications Feb 16-18, 2003 San Diego, California, USA >Quantification of Regional Fat Volume in Rat MRI
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Quantification of Regional Fat Volume in Rat MRI

机译：大鼠MRI中区域脂肪量的量化

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摘要

Multiple initiatives in the pharmaceutical and beauty care industries are directed at identifying therapies for weight management. Body composition measurements are critical for such initiatives. Imaging technologies that can be used to measure body composition noninvasively include DXA (dual energy x-ray absorptiometry) and MRI (magnetic resonance imaging). Unlike other approaches, MRI provides the ability to perform localized measurements of fat distribution. Several factors complicate the automatic delineation of fat regions and quantification of fat volumes. These include motion artifacts, field non-uniformity, brightness and contrast variations, chemical shift misregistration, and ambiguity in delineating anatomical structures. We have developed an approach to deal practically with those challenges. The approach is implemented in a package, the Fat Volume Tool, for automatic detection of fat tissue in MR images of the rat abdomen, including automatic discrimination between abdominal and subcutaneous regions. We suppress motion artifacts using masking based on detection of implicit landmarks in the images. Adaptive object extraction is used to compensate for intensity variations. This approach enables us to perform fat tissue detection and quantification in a fully automated manner. The package can also operate in manual mode, which can be used for verification of the automatic analysis or for performing supervised segmentation. In supervised segmentation, the operator has the ability to interact with the automatic segmentation procedures to touch-up or completely overwrite intermediate segmentation steps. The operator's interventions steer the automatic segmentation steps that follow. This improves the efficiency and quality of the final segmentation. Semi-automatic segmentation tools (interactive region growing, live-wire, etc.) improve both the accuracy and throughput of the operator when working in manual mode. The quality of automatic segmentation has been evaluated by comparing the results of fully automated analysis to manual analysis of the same images. The comparison shows a high degree of correlation that validates the quality of the automatic segmentation approach.
机译：制药和美容保健行业的多项计划旨在确定体重控制的疗法。身体成分测量对于此类计划至关重要。可用于无创测量身体成分的成像技术包括DXA（双能X射线吸收法）和MRI（磁共振成像）。与其他方法不同，MRI提供了对脂肪分布进行局部测量的功能。几个因素使脂肪区域的自动描绘和脂肪体积的量化变得复杂。这些包括运动伪影，视野不均匀性，亮度和对比度变化，化学位移重合失调以及在描述解剖结构时的歧义。我们已经开发出一种方法来实际应对这些挑战。该方法在脂肪体积工具包中实施，用于自动检测大鼠腹部MR图像中的脂肪组织，包括自动区分腹部和皮下区域。我们使用基于图像中隐式界标的检测的遮罩来抑制运动伪影。自适应对象提取用于补偿强度变化。这种方法使我们能够以全自动方式执行脂肪组织检测和定量。该程序包还可以在手动模式下运行，该模式可用于验证自动分析或执行监督分割。在有监督的细分中，操作员可以与自动细分程序进行交互，以修饰或完全覆盖中间的细分步骤。操作员的干预引导随后的自动分段步骤。这提高了最终分割的效率和质量。在手动模式下工作时，半自动分段工具（交互式区域增长，实时数据传输等）可提高操作员的准确性和吞吐量。通过将全自动分析的结果与手动分析相同图像的结果进行比较，可以评估自动分割的质量。比较显示出高度的相关性，验证了自动分割方法的质量。

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