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arXiv 1106.2124physics.med-phcs.CVcs.NAmath.NAstat.AP
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全模态断层成像/多模态断层成像——整合多种模态实现同步成像

Omni-tomography/Multi-tomography -- Integrating Multiple Modalities for Simultaneous Imaging

Virginia Tech(弗吉尼亚理工大学);Wake Forest University(维克森林大学);University of Minnesota(明尼苏达大学);University of California, Los Angeles(加利福尼亚大学洛杉矶分校);Baylor University Medical Center(贝勒大学医学中心);Texas Instruments Inc.(德州仪器公司);University of Chicago(芝加哥大学)

Ge Wang, Jie Zhang, Hao Gao, Victor Weir, Hengyong Yu, Wenxiang Cong, Xiaochen Xu, Haiou Shen, James Bennett, Yue Wang, Michael Vannier

AI总结:

本文提出全模态断层成像(omni-tomography)概念,通过整合CT、MRI、PET、SPECT、超声、光学等多种成像机制实现真正同步的局部重建,克服现有模态融合方法在配准误差和物理限制方面的固有局限。

摘要:

当前的断层成像系统需要重大改进,尤其是在研究多维、多尺度、多时间及多参数现象时。临床前和临床成像现在都依赖于体内断层成像,通常需要不同成像模态分别评估以定义形态细节、描绘疾病或干预引起的变化,并研究具有相互关联方面的生理功能。过去十年中,多模态图像融合出现了两种不同方法:事后图像配准以及PET-CT、PET-MRI及其他混合扫描仪上的联合采集。事后图像分析和双/三模态方法都存在固有局限性,这些局限性由配准误差和采集链中的物理约束决定。我们预见断层成像将超越当前的模态融合,走向大融合,即所有或许多成像模态的大规模融合,可称为全模态断层成像或多模态断层成像。与模态融合不同,这里提出的大融合旨在实现真正同步但通常局部的重建,涉及所有或许多相关成像机制,如CT、MRI、PET、SPECT、超声、光学以及可能更多。本文介绍了全模态断层成像的技术基础,并通过下一代扫描仪的顶层设计、代表性模态的内部断层重建以及全模态断层成像的预期应用进行了说明。

英文摘要:

Current tomographic imaging systems need major improvements, especially when multi-dimensional, multi-scale, multi-temporal and multi-parametric phenomena are under investigation. Both preclinical and clinical imaging now depend on in vivo tomography, often requiring separate evaluations by different imaging modalities to define morphologic details, delineate interval changes due to disease or interventions, and study physiological functions that have interconnected aspects. Over the past decade, fusion of multimodality images has emerged with two different approaches: post-hoc image registration and combined acquisition on PET-CT, PET-MRI and other hybrid scanners. There are intrinsic limitations for both the post-hoc image analysis and dual/triple modality approaches defined by registration errors and physical constraints in the acquisition chain. We envision that tomography will evolve beyond current modality fusion and towards grand fusion, a large scale fusion of all or many imaging modalities, which may be referred to as omni-tomography or multi-tomography. Unlike modality fusion, grand fusion is here proposed for truly simultaneous but often localized reconstruction in terms of all or many relevant imaging mechanisms such as CT, MRI, PET, SPECT, US, optical, and possibly more. In this paper, the technical basis for omni-tomography is introduced and illustrated with a top-level design of a next generation scanner, interior tomographic reconstructions of representative modalities, and anticipated applications of omni-tomography.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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