Development of a 4-D digital mouse phantom for molecular imaging research

Segars, W. Paul; Tsui, B.M.W.; Frey, Eric; Johnson, G. Allan; Berr, Stuart S.

doi:10.1016/j.mibio.2004.03.002

Cited by 382 publications

(297 citation statements)

References 10 publications

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“…For reference, Fig. 1A shows a rendering of an animal subject [rendered from the Mouse Whole Body (MOBY) phantom (47) and shown in blue] in the MRI-optical interface. Eight optical fibers surrounding the head transmit light to and from the tissue.…”

Section: Methodsmentioning

confidence: 99%

Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo

Davis

Samkoe²,

Tichauer

et al. 2013

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

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The up-regulation of cell surface receptors has become a central focus in personalized cancer treatment; however, because of the complex nature of contrast agent pharmacokinetics in tumor tissue, methods to quantify receptor binding in vivo remain elusive. Here, we present a dual-tracer optical technique for noninvasive estimation of specific receptor binding in cancer. A multispectral MRI-coupled fluorescence molecular tomography system was used to image the uptake kinetics of two fluorescent tracers injected simultaneously, one tracer targeted to the receptor of interest and the other tracer a nontargeted reference. These dynamic tracer data were then fit to a dual-tracer compartmental model to estimate the density of receptors available for binding in the tissue. Applying this approach to mice with deep-seated gliomas that overexpress the EGF receptor produced an estimate of available receptor density of 2.3 ± 0.5 nM (n = 5), consistent with values estimated in comparative invasive imaging and ex vivo studies.

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Section: Methodsmentioning

confidence: 99%

Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo

Davis

Samkoe²,

Tichauer

et al. 2013

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

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“…As an example of an application with the pinhole collimator simulation Monte Carlo simulation using the develop routine can produce very realistic images when using the Moby mouse computer phantom (Segars et al, 2004). A preliminary result of such simulation is shown in Figure 13 where the three images to the left show simulated projections using three different apertures and the right image shows an image of the mouse.…”

Section: Discussionmentioning

confidence: 99%

SIMIND based pinhole imaging: Development and validation

Sundin

Ljungberg

2007

2007 IEEE Nuclear Science Symposium Conference Record

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The Monte Carlo method has become increasingly used to simulate imaging systems like the scintillation camera and SPECT systems. In order to investigate intrinsic properties of SPECT systems the Monte Carlo based application SIMIND (Simulating Medical Imaging Nuclear Detectors) has been developed. Up to now, it has not been able to simulate a pinhole-imaging device with SIMND. The aim of this work was therefore to develop such an application. The application has been developed for pinhole-imaging devices that consist of a knife-edgeshaped pinhole insert and a conical shielding device.The pinhole collimator routine, developed in FORTRAN, tracks the path of each photon through the pinhole collimator during a simulation session. As a photon moves through the pinhole collimator, the routine registers if the photon passes through the aperture, penetrates trough the edge of the aperture or if the photon scatters in the pinhole collimator. This makes it possible to calculate fractions of geometrical, penetrating and scattered photons that contribute to an image generated by the simulation application, which is impossible in the real case.Results from the constructed pinhole collimator routine were validated by comparing results from simulations with results obtained from experimental studies on a SPECT system with a pinhole collimator. Comparisons were also conducted with results from previously published characteristics of pinhole-imaging devices. The comparisons showed good agreement but with some differences in the values of the fraction of geometrical, penetrating and scattered photons compared to previously reported results.3 CONTENT

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“…The mouse atlas used in this work is the publicly available MOBY atlas [2] that we modified by manually segmenting individual bones and organs, identifying joint locations and adding anatomically realistic joint models. The registration of this atlas to MicroCT was presented in previous work [1] and will be described briefly.…”

Section: Articulated Whole-body Registrationmentioning

confidence: 99%

“…To deal with the problem of high postural variability, in [1] we presented a robust method for registration between the skeleton, the lungs and the skin of a mouse atlas (MOBY [2]) and whole-body MicroCT data of mice. We subsequently used the point correspondences on these structures to map the remainder of the body using Thin Plate Spline (TPS) interpolation.…”

Section: Introductionmentioning

confidence: 99%

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Automated Registration of Whole-Body Follow-Up MicroCT Data of Mice

Baiker

Staring

Löwik

et al. 2011

Lecture Notes in Computer Science

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Abstract. In vivo MicroCT imaging of disease models at multiple time points is of great importance for preclinical oncological research, to monitor disease progression. However, the great postural variability between animals in the imaging device complicates data comparison.In this paper we propose a method for automated registration of whole-body MicroCT follow-up datasets of mice. First, we register the skeleton, the lungs and the skin of an articulated animal atlas (Segars et al. 2004) to MicroCT datasets, yielding point correspondence of these structures over all time points. This correspondence is then used to regularize an intensity-based B-spline registration. This two step approach combines the robustness of model-based registration with the high accuracy of intensity-based registration.We demonstrate our approach using challenging whole-body in vivo follow-up MicroCT data and obtain subvoxel accuracy for the skeleton and the skin, based on the Euclidean surface distance. The method is computationally efficient and enables high resolution whole-body registration in ≈17 minutes with unoptimized code, mostly executed single-threaded.

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Development of a 4-D digital mouse phantom for molecular imaging research

Cited by 382 publications

References 10 publications

Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo

Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo

SIMIND based pinhole imaging: Development and validation

Automated Registration of Whole-Body Follow-Up MicroCT Data of Mice

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