TY - JOUR
T1 - Towards omni-tomography-grand fusion of multiple modalities for simultaneous interior tomography
AU - Wang, Ge
AU - Zhang, Jie
AU - Gao, Hao
AU - Weir, Victor
AU - Yu, Hengyong
AU - Cong, Wenxiang
AU - Xu, Xiaochen
AU - Shen, Haiou
AU - Bennett, James
AU - Furth, Mark
AU - Wang, Yue
AU - Vannier, Michael
PY - 2012/6/29
Y1 - 2012/6/29
N2 - We recently elevated interior tomography from its origin in computed tomography (CT) to a general tomographic principle, and proved its validity for other tomographic modalities including SPECT, MRI, and others. Here we propose "omni-tomography", a novel concept for the grand fusion of multiple tomographic modalities for simultaneous data acquisition in a region of interest (ROI). Omni-tomography can be instrumental when physiological processes under investigation are multi-dimensional, multi-scale, multi-temporal and multi-parametric. Both preclinical and clinical studies now depend on in vivo tomography, often requiring separate evaluations by different imaging modalities. Over the past decade, two approaches have been used for multimodality fusion: Software based image registration and hybrid scanners such as PET-CT, PET-MRI, and SPECT-CT among others. While there are intrinsic limitations with both approaches, the main obstacle to the seamless fusion of multiple imaging modalities has been the bulkiness of each individual imager and the conflict of their physical (especially spatial) requirements. To address this challenge, omni-tomography is now unveiled as an emerging direction for biomedical imaging and systems biomedicine.
AB - We recently elevated interior tomography from its origin in computed tomography (CT) to a general tomographic principle, and proved its validity for other tomographic modalities including SPECT, MRI, and others. Here we propose "omni-tomography", a novel concept for the grand fusion of multiple tomographic modalities for simultaneous data acquisition in a region of interest (ROI). Omni-tomography can be instrumental when physiological processes under investigation are multi-dimensional, multi-scale, multi-temporal and multi-parametric. Both preclinical and clinical studies now depend on in vivo tomography, often requiring separate evaluations by different imaging modalities. Over the past decade, two approaches have been used for multimodality fusion: Software based image registration and hybrid scanners such as PET-CT, PET-MRI, and SPECT-CT among others. While there are intrinsic limitations with both approaches, the main obstacle to the seamless fusion of multiple imaging modalities has been the bulkiness of each individual imager and the conflict of their physical (especially spatial) requirements. To address this challenge, omni-tomography is now unveiled as an emerging direction for biomedical imaging and systems biomedicine.
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U2 - 10.1371/journal.pone.0039700
DO - 10.1371/journal.pone.0039700
M3 - Article
C2 - 22768108
AN - SCOPUS:84863090423
SN - 1932-6203
VL - 7
JO - PLoS ONE
JF - PLoS ONE
IS - 6
M1 - e39700
ER -