MicroPET: a high resolution PET scanner for imaging small animals

Cherry, Simon R.; Shao, Yiping; Silverman, Robert W.; Meadors, K.; Siegel, Stefan; Chatziioannou, Arion F.; Young, John W.; Jones, W. Jeremy; Moyers, J.C.; Newport, D.F.; Boutefnouchet, A.; Farquhar, T.H.; Andreaco, M.; Paulus, Michael J.; Binkley, D.M.; Nutt, R.; Phelps, Michael E.

doi:10.1109/23.596981

Cited by 550 publications

(130 citation statements)

References 20 publications

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“…The increasing availability and lower cost of PET scanners and commercial PET radiopharmaceuticals allow routine imaging with PET in the care of cancer patients as well as provide the impetus to develop molecular imaging probes that are more specific for various cancers, to add to improved clinical management provided with FDG. To facilitate the testing of new positron-labeled agents in small-animal models, microPET technology has been developed that currently provides (Ϸ1.8 mm) 3 volumetric resolution (14). The microPET scanner has an axial field-of-view of 1.8 cm, and an entire mouse can be scanned by using multiple bed positions (14).…”

mentioning

confidence: 99%

“…To facilitate the testing of new positron-labeled agents in small-animal models, microPET technology has been developed that currently provides (Ϸ1.8 mm) 3 volumetric resolution (14). The microPET scanner has an axial field-of-view of 1.8 cm, and an entire mouse can be scanned by using multiple bed positions (14). Fully three-dimensional collection of emission data along with algebraic reconstruction techniques (15) lead to high-definition images of the whole body of the mouse.…”

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confidence: 99%

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High-resolution microPET imaging of carcinoembryonic antigen-positive xenografts by using a copper-64-labeled engineered antibody fragment

Yazaki

Tsai

et al. 2000

Proc. Natl. Acad. Sci. U.S.A.

193

100

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confidence: 99%

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confidence: 99%

High-resolution microPET imaging of carcinoembryonic antigen-positive xenografts by using a copper-64-labeled engineered antibody fragment

Yazaki

Tsai

et al. 2000

Proc. Natl. Acad. Sci. U.S.A.

193

100

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“…Accumulation of radiotracer was evident in the TAg tumor, but not in the CP tumor, showing that specific interaction of p53 and TAg could be detected by micro-PET imaging. Based on region-of-interest values from the micro-PET images, which have been proven to reflect accurately tissue content of radiotracer (14), uptake of 18 F-FHBG was 5.5-fold greater in TAg tumors relative to CP tumors (Fig. 5C Inset; P Ͻ 0.01).…”

Section: Imaging Protein Interactions In Vivomentioning

confidence: 99%

Noninvasive imaging of protein–protein interactions in living animals

Luker

Sharma

Pica

et al. 2002

Proc. Natl. Acad. Sci. U.S.A.

155

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“…1 The crystal width is still a main resolution limiting factor in most PET applications. 2 Although reducing the crystal width is a simple way to improve the spatial resolution, 3,4 it can be cost prohibitive with current manufacturing processes, the small crystals can be underutilized or wasted for general-purpose imaging applications, and intercrystal penetration may become a dominating factor. On the other hand, most PET systems are designed for general-purpose applications, and they cannot provide the required resolution for some specific region-of-interest (ROI) imaging.…”

Section: Introductionmentioning

confidence: 99%

Image reconstructions from super‐sampled data sets with resolution modeling in PET imaging

Li¹,

Matej²,

Metzler³

2014

Medical Physics

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Purpose: Spatial resolution in positron emission tomography (PET) is still a limiting factor in many imaging applications. To improve the spatial resolution for an existing scanner with fixed crystal sizes, mechanical movements such as scanner wobbling and object shifting have been considered for PET systems. Multiple acquisitions from different positions can provide complementary information and increased spatial sampling. The objective of this paper is to explore an efficient and useful reconstruction framework to reconstruct super-resolution images from super-sampled low-resolution data sets. Methods: The authors introduce a super-sampling data acquisition model based on the physical processes with tomographic, downsampling, and shifting matrices as its building blocks. Based on the model, we extend the MLEM and Landweber algorithms to reconstruct images from super-sampled data sets. The authors also derive a backprojection-filtration-like (BPF-like) method for the supersampling reconstruction. Furthermore, they explore variant methods for super-sampling reconstructions: the separate super-sampling resolution-modeling reconstruction and the reconstruction without downsampling to further improve image quality at the cost of more computation. The authors use simulated reconstruction of a resolution phantom to evaluate the three types of algorithms with different super-samplings at different count levels. Results: Contrast recovery coefficient (CRC) versus background variability, as an image-quality metric, is calculated at each iteration for all reconstructions. The authors observe that all three algorithms can significantly and consistently achieve increased CRCs at fixed background variability and reduce background artifacts with super-sampled data sets at the same count levels. For the same super-sampled data sets, the MLEM method achieves better image quality than the Landweber method, which in turn achieves better image quality than the BPF-like method. The authors also demonstrate that the reconstructions from super-sampled data sets using a fine system matrix yield improved image quality compared to the reconstructions using a coarse system matrix. Super-sampling reconstructions with different count levels showed that the more spatial-resolution improvement can be obtained with higher count at a larger iteration number. Conclusions: The authors developed a super-sampling reconstruction framework that can reconstruct super-resolution images using the super-sampling data sets simultaneously with known acquisition motion. The super-sampling PET acquisition using the proposed algorithms provides an effective and economic way to improve image quality for PET imaging, which has an important implication in preclinical and clinical region-of-interest PET imaging applications. C 2014 American Association of Physicists in Medicine. [http://dx

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MicroPET: a high resolution PET scanner for imaging small animals

Cited by 550 publications

References 20 publications

High-resolution microPET imaging of carcinoembryonic antigen-positive xenografts by using a copper-64-labeled engineered antibody fragment

High-resolution microPET imaging of carcinoembryonic antigen-positive xenografts by using a copper-64-labeled engineered antibody fragment

Noninvasive imaging of protein–protein interactions in living animals

Image reconstructions from super‐sampled data sets with resolution modeling in PET imaging

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