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Interior SPECT—exact and stable ROI reconstruction from uniformly attenuated local projections

机译:内部SPECT-通过均匀衰减的局部投影来精确而稳定地重建ROI

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Single photon emission computed tomography (SPECT) is an important biomedical imaging modality. However, since gamma cameras are expensive and bulky, truncated projection data are either preferred or unavoidable. Inspired by the recent results on interior tomography in the X-ray CT field, here we present the interior SPECT approach for exact and stable reconstruction of a region of interest (ROI) from uniformly attenuated local projection data, aided by prior knowledge of a sub-region in the ROI. First, by analytic continuation we prove that interior SPECT is both exact and stable, and by singular value decomposition (SVD) we establish the stability of interior SPECT. Then, given the constant attenuation coefficient and object boundary, our interior SPECT reconstruction is achieved by inverting a generalized truncated Hilbert transform using the SVD technique. Preliminary numerical simulation data demonstrate that our work has practical utilities. The theoretical generalization of our work to the variable attenuation case is underway, and the same numerical approach can be applied.
机译:单光子发射计算机断层扫描(SPECT)是一种重要的生物医学成像方式。但是,由于伽马相机昂贵且体积大,因此优选或不可避免地使用截断的投影数据。受X射线CT领域内部层析成像的最新结果的启发,在这里,我们介绍了内部SPECT方法,该方法可从均匀衰减的局部投影数据中准确,稳定地重建感兴趣区域(ROI),并借助先验知识-ROI中的区域。首先,通过解析连续性,我们证明了内部SPECT既精确又稳定,并且通过奇异值分解(SVD)建立了内部SPECT的稳定性。然后,在给定恒定衰减系数和对象边界的情况下,通过使用SVD技术对广义的截断希尔伯特变换进行求逆,可以实现我们内部的SPECT重建。初步的数值模拟数据表明我们的工作具有实用性。我们的工作正在针对可变衰减情况进行理论推广,并且可以采用相同的数值方法。

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