Omni-tomography/Multi-tomography -- Integrating Multiple Modalities for Simultaneous Imaging
Ge Wang, Jie Zhang, Hao Gao, Victor Weir, Hengyong Yu, Wenxiang Cong,, Xiaochen Xu, Haiou Shen, James Bennett, Yue Wang, Michael Vannier

TL;DR
This paper introduces the concept of omni-tomography, a grand fusion of multiple imaging modalities for truly simultaneous, multi-parametric imaging, overcoming limitations of current hybrid systems and enabling comprehensive in vivo analysis.
Contribution
It proposes the technical basis and design for a next-generation omni-tomography scanner that integrates multiple modalities for simultaneous imaging, advancing beyond current fusion approaches.
Findings
Conceptual framework for omni-tomography introduced.
Design of a multi-modality scanner illustrated.
Potential applications in comprehensive in vivo imaging discussed.
Abstract
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…
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Taxonomy
TopicsMedical Imaging Techniques and Applications · Advanced MRI Techniques and Applications · Electrical and Bioimpedance Tomography
