Towards Omni-Tomography—Grand Fusion of Multiple Modalities for Simultaneous Interior Tomography

Wang, Ge; Zhang, Jie; Gao, Hao; Weir, Victor; Yu, Hengyong; Cong, Wenxiang; Xu, Xiaochen; Shen, Haiou; Bennett, James R.; Furth, Mark E.; Wang, Yue; Vannier, Michael W.

doi:10.1371/journal.pone.0039700

Cited by 44 publications

(43 citation statements)

References 47 publications

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“…The concept of interior tomography has been extended from CT reconstruction to SPECT, MRI, and phase-contrast tomography [22,23]. However, the idea of interior PET/CT is missing.…”

Section: Discussionmentioning

confidence: 99%

Sinogram-based attenuation correction in PET/CT

Yang

et al. 2016

XST

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In a typical positron emission tomography/computed tomography (PET/CT) system, the attenuation correction is necessary for PET image reconstruction, which involves a transformation from the CT Hounsfield units (HU) to its linear attenuation coefficient (LAC) at 511 keV. This transformation is usually aided by an empirical bilinear function, followed by the forward projection of the transformed attenuation image. In this paper, we propose a direct method that calculates attenuation factors from CT projections, without using a reconstructed CT image. In this method, the human body is considered as a mixture of three distinct components: air, water and bone. Then, we estimate the proportions of these three components along each x-ray path and restore the attenuation factor at 511 keV with the known water and bone LACs. Our numerical results show that the proposed method produces as accurate estimation as the conventional HU mapping method.

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“…The concept of interior tomography has been extended from CT reconstruction to SPECT, MRI, and phase-contrast tomography [22,23]. However, the idea of interior PET/CT is missing.…”

Section: Discussionmentioning

confidence: 99%

Sinogram-based attenuation correction in PET/CT

Yang

et al. 2016

XST

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“…With the quad-modality system, 3 different tracers for PET, SPECT, and FMI can trace these 3 types of cells with high specificity and accurate image fusion. However, this cannot be done with any current single system (15,18).…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, when the image coregistration, safety, reliable handling, and minimization of total imaging time are considered, fluorescence imaging is desired for multimodal molecular imaging in a single system. There are a few existing multimodality animal imaging systems (15) as well as commercial trimodality systems, such as the Inveon (Siemens) (14), FLEX Triumph (Gamma Medica-Ideas), and Albira (Carestream), that have provided high system performance with excellent spatial resolution for SPECT and sensitivity for PET. Several articles have discussed the feasibility of combining PET-SPECT and radiology-optical imaging modalities (7,8,12,(17)(18)(19).…”

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confidence: 99%

An Integrated Quad-Modality Molecular Imaging System for Small Animals

Yang

Zhou

et al. 2014

J Nucl Med

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We developed a novel integrated quad-modality system that included 3 molecular imaging methods (PET, SPECT, and fluorescence molecular imaging [FMI]) and 1 anatomic imaging modality (CT). This system could study various biologic processes in the same animal using multiple molecular tracers. In addition to the technology development, we also discussed the optimization strategy of the imaging protocols. The performance of this system was tested, and the in vivo animal experiment showed its power to trace 3 different molecular probes in living tissues. Our results demonstrated that this system has a great potential for the preclinical study of diseases. Methods: A prototype system integrating PET, SPECT, CT, and a charge-coupled device-based free-space FMI system has been developed. Imaging and fusion capabilities of the system were evaluated by a multimodality phantom. In addition, a mouse disease model with both tumor and inflammation was studied by this system to examine the in vivo performance. The 3 types of molecular probes-18 F-FDG, [ 99m Tc(HYNIC-3PRGD 2 )(tricine)(TPPTS)] ( 99m Tc-3PRG 2 ) (HYNIC 5 6-hydrazinonicotinyl; TPPTS 5 trisodium triphenylphosphine-3,3′,3″-trisulfonate; 3PRGD 2 5 PEG 4 -E[PEG 4 -c (RGDfK)] 2 ), and 3-(triethoxysilyl) propyl-Cy7-entrapped core-crosslinked polymeric micelle (Cy7-entrapped CCPM) nanoparticles-were used to target 3 different biologic processes in the tumor caused by pulmonary adenocarcinoma A549 cells. Moreover, the strategy to optimize multimodal molecular imaging procedure was studied as well, which could significantly reduce the total imaging time. Results: The imaging performance has been validated by both phantom and in vivo animal experiments. With this system and optimized imaging protocol, we successfully differentiated diseases that cannot be distinguished by a single molecular imaging modality. Conclusion: We developed a novel quad-modality molecular imaging system that integrated PET, SPECT, FMI, and CT imaging methods to obtain wholebody multimodality images of small animals. The imaging results demonstrated that this system provides more comprehensive information for preclinical biomedical research. With optimized imaging protocols, as well as novel molecular tracers, this quad-modality system can help in the study of the physiology mechanism at an unprecedented level.

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“…Conversely, CT is quick. Current CT procures thousands projections for each second, and propelled CT recreation calculations enable a image to be remade from a not completely dataset [85]. At the point when MRI is incorporated with CT, we trust that the qualities of CT and MRI can be flawlessly coordinated.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Medical Image Segmentation Methods with Different Modalitites

Sumithra¹,

Malathi²

2018

IJERT

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-This paper shows a review on the offered methods for segmentation of brain tumor magnetic resonance imaging (MRI) and computed tomography (CT) images. Segmentation of brain MRI and CT images are broadly used as a preprocessing, for research that inhabit study and mechanization, in the domain of medical image processing. MRI and CT images segmentation is difficult job because of the same characteristics between hard and soft group of muscle anatomy in the brain image. Also the many parts of identical space present in an image differentiate with the image partition and direction. The selection of an suitable type for segmentation that is build up on the image featue. This review has been done in the point of view of authorize the mixture of a segmentation type for MRI and CT images. This review is differentiated based on the methods processed in segmentation.

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Towards Omni-Tomography—Grand Fusion of Multiple Modalities for Simultaneous Interior Tomography

Cited by 44 publications

References 47 publications

Sinogram-based attenuation correction in PET/CT

Sinogram-based attenuation correction in PET/CT

An Integrated Quad-Modality Molecular Imaging System for Small Animals

A Survey on Medical Image Segmentation Methods with Different Modalitites

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