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A 3D-printed anatomical pancreas and kidney phantom for optimizing SPECT/CT reconstruction settings in beta cell imaging using 111In-exendin

Overview of attention for article published in EJNMMI Physics, December 2016
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Title
A 3D-printed anatomical pancreas and kidney phantom for optimizing SPECT/CT reconstruction settings in beta cell imaging using 111In-exendin
Published in
EJNMMI Physics, December 2016
DOI 10.1186/s40658-016-0165-0
Pubmed ID
Authors

Wietske Woliner-van der Weg, Laura N. Deden, Antoi P. W. Meeuwis, Maaike Koenrades, Laura H. C. Peeters, Henny Kuipers, Geert Jan Laanstra, Martin Gotthardt, Cornelis H. Slump, Eric P. Visser

Abstract

Quantitative single photon emission computed tomography (SPECT) is challenging, especially for pancreatic beta cell imaging with (111)In-exendin due to high uptake in the kidneys versus much lower uptake in the nearby pancreas. Therefore, we designed a three-dimensionally (3D) printed phantom representing the pancreas and kidneys to mimic the human situation in beta cell imaging. The phantom was used to assess the effect of different reconstruction settings on the quantification of the pancreas uptake for two different, commercially available software packages. 3D-printed, hollow pancreas and kidney compartments were inserted into the National Electrical Manufacturers Association (NEMA) NU2 image quality phantom casing. These organs and the background compartment were filled with activities simulating relatively high and low pancreatic (111)In-exendin uptake for, respectively, healthy humans and type 1 diabetes patients. Images were reconstructed using Siemens Flash 3D and Hermes Hybrid Recon, with varying numbers of iterations and subsets and corrections. Images were visually assessed on homogeneity and artefacts, and quantitatively by the pancreas-to-kidney activity concentration ratio. Phantom images were similar to clinical images and showed comparable artefacts. All corrections were required to clearly visualize the pancreas. Increased numbers of subsets and iterations improved the quantitative performance but decreased homogeneity both in the pancreas and the background. Based on the phantom analyses, the Hybrid Recon reconstruction with 6 iterations and 16 subsets was found to be most suitable for clinical use. This work strongly contributed to quantification of pancreatic (111)In-exendin uptake. It showed how clinical images of (111)In-exendin can be interpreted and enabled selection of the most appropriate protocol for clinical use.

Twitter Demographics

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Student > Master 8 18%
Student > Ph. D. Student 7 16%
Student > Bachelor 4 9%
Other 4 9%
Other 7 16%
Unknown 6 13%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Physics and Astronomy 6 13%
Engineering 3 7%
Neuroscience 2 4%
Computer Science 2 4%
Other 7 16%
Unknown 9 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2016.
All research outputs
#7,596,043
of 8,758,110 outputs
Outputs from EJNMMI Physics
#36
of 41 outputs
Outputs of similar age
#243,113
of 299,287 outputs
Outputs of similar age from EJNMMI Physics
#8
of 8 outputs
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