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A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci

机译：用于异染色质病灶的3D分割和3D形状分析的球谐强度模型

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摘要

The genome is partitioned into regions of euchromatin and heterochromatin. The organization of heterochromatin is important for the regulation of cellular processes such as chromosome segregation and gene silencing, and their misregulation is linked to cancer and other diseases. We present a model-based approach for automatic 3D segmentation and 3D shape analysis of heterochromatin foci from 3D con focal light microscopy images. Our approach employs a novel 3D intensity model based on spherical harmonics, which analytically describes the shape and intensities of the foci. The model parameters are determined by fitting the model to the image intensities using least-squares minimization. To characterize the 3D shape of the foci, we exploit the computed spherical harmonics coefficients and determine a shape descriptor. We applied our approach to 3D synthetic image data as well as real 3D static and real 3D time-lapse microscopy images, and compared the performance with that of previous approaches. It turned out that our approach yields accurate 3D segmentation results and performs better than previous approaches. We also show that our approach can be used for quantifying 3D shape differences of heterochromatin foci. (C) 2016 Elsevier B.V. All rights reserved.
机译：基因组被分成常染色质和异染色质区域。异染色质的组织对于调节细胞过程（例如染色体分离和基因沉默）很重要，它们的失调与癌症和其他疾病有关。我们提出了一种基于模型的方法，用于从3D聚焦光学显微镜图像对异染色质灶进行自动3D分割和3D形状分析。我们的方法采用了一种基于球谐函数的新颖3D强度模型，该模型可以分析地描述焦点的形状和强度。通过使用最小二乘最小化使模型适合图像强度来确定模型参数。为了表征焦点的3D形状，我们利用计算的球谐系数并确定形状描述符。我们将我们的方法应用于3D合成图像数据以及真实的3D静态和真实的3D延时显微镜图像，并将其性能与以前的方法进行了比较。事实证明，我们的方法可产生准确的3D分割结果，并且比以前的方法性能更好。我们还表明，我们的方法可用于量化异染色质病灶的3D形状差异。 （C）2016 Elsevier B.V.保留所有权利。

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