Registration of 3D FMT and CT images of mouse via affine transformation using sequential Monte Carlo

Zheng Xia; Xiaobo Zhou; Youxian Sun; Stephen T C Wong

doi:10.1063/1.2816643

Registration of 3D FMT and CT images of mouse via affine transformation using sequential Monte Carlo

Zheng Xia, Xiaobo Zhou, Youxian Sun, Stephen T C Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

It is difficult to directly co-register the 3D FMT (Fluorescence Molecular Tomography) image of a small tumor in a mouse whose maximal diameter is only a few mm with a larger CT image of the entire animal that spans about ten cm. This paper proposes a new method to register 2D flat and 3D CT image first to facilitate the registration between small 3D FMT images and large CT images. A novel algorithm based on SMC (Sequential Monte Carlo) incorporated with least square operation for the registration between the 2D flat and 3D CT images is introduced and validated with simulated images and real images of mice. The visualization of the preliminary alignment of the 3D FMT and CT image through 2D registration shows promising results.

Original language	English (US)
Title of host publication	Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium
Pages	48-56
Number of pages	9
Volume	952
DOIs	https://doi.org/10.1063/1.2816643
State	Published - Dec 1 2007
Event	2007 International Symposium on Computational Models for Life Sciences, CMLS '07 - Gold Coast, QLD, Australia Duration: Dec 17 2007 → Dec 19 2007

Other

Other	2007 International Symposium on Computational Models for Life Sciences, CMLS '07
Country/Territory	Australia
City	Gold Coast, QLD
Period	12/17/07 → 12/19/07

Keywords

Animal molecular imaging
Fluorescence molecular tomography (FMT)
Particle filter
Registration
Sequential monte carlo

ASJC Scopus subject areas

Physics and Astronomy(all)

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10.1063/1.2816643

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Xia, Z, Zhou, X, Sun, Y & Wong, STC 2007, Registration of 3D FMT and CT images of mouse via affine transformation using sequential Monte Carlo. in Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium. vol. 952, pp. 48-56, 2007 International Symposium on Computational Models for Life Sciences, CMLS '07, Gold Coast, QLD, Australia, 12/17/07. https://doi.org/10.1063/1.2816643

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title = "Registration of 3D FMT and CT images of mouse via affine transformation using sequential Monte Carlo",

abstract = "It is difficult to directly co-register the 3D FMT (Fluorescence Molecular Tomography) image of a small tumor in a mouse whose maximal diameter is only a few mm with a larger CT image of the entire animal that spans about ten cm. This paper proposes a new method to register 2D flat and 3D CT image first to facilitate the registration between small 3D FMT images and large CT images. A novel algorithm based on SMC (Sequential Monte Carlo) incorporated with least square operation for the registration between the 2D flat and 3D CT images is introduced and validated with simulated images and real images of mice. The visualization of the preliminary alignment of the 3D FMT and CT image through 2D registration shows promising results.",

keywords = "Animal molecular imaging, Fluorescence molecular tomography (FMT), Particle filter, Registration, Sequential monte carlo",

author = "Zheng Xia and Xiaobo Zhou and Youxian Sun and Wong, {Stephen T C}",

year = "2007",

month = dec,

day = "1",

doi = "10.1063/1.2816643",

language = "English (US)",

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volume = "952",

pages = "48--56",

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note = "2007 International Symposium on Computational Models for Life Sciences, CMLS '07 ; Conference date: 17-12-2007 Through 19-12-2007",

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T1 - Registration of 3D FMT and CT images of mouse via affine transformation using sequential Monte Carlo

AU - Xia, Zheng

AU - Zhou, Xiaobo

AU - Sun, Youxian

AU - Wong, Stephen T C

PY - 2007/12/1

Y1 - 2007/12/1

N2 - It is difficult to directly co-register the 3D FMT (Fluorescence Molecular Tomography) image of a small tumor in a mouse whose maximal diameter is only a few mm with a larger CT image of the entire animal that spans about ten cm. This paper proposes a new method to register 2D flat and 3D CT image first to facilitate the registration between small 3D FMT images and large CT images. A novel algorithm based on SMC (Sequential Monte Carlo) incorporated with least square operation for the registration between the 2D flat and 3D CT images is introduced and validated with simulated images and real images of mice. The visualization of the preliminary alignment of the 3D FMT and CT image through 2D registration shows promising results.

AB - It is difficult to directly co-register the 3D FMT (Fluorescence Molecular Tomography) image of a small tumor in a mouse whose maximal diameter is only a few mm with a larger CT image of the entire animal that spans about ten cm. This paper proposes a new method to register 2D flat and 3D CT image first to facilitate the registration between small 3D FMT images and large CT images. A novel algorithm based on SMC (Sequential Monte Carlo) incorporated with least square operation for the registration between the 2D flat and 3D CT images is introduced and validated with simulated images and real images of mice. The visualization of the preliminary alignment of the 3D FMT and CT image through 2D registration shows promising results.

KW - Animal molecular imaging

KW - Fluorescence molecular tomography (FMT)

KW - Particle filter

KW - Registration

KW - Sequential monte carlo

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EP - 56

BT - Computational Models For Life Sciences (CMLS '07) - 2007 International Symposium

T2 - 2007 International Symposium on Computational Models for Life Sciences, CMLS '07

Y2 - 17 December 2007 through 19 December 2007

ER -

Registration of 3D FMT and CT images of mouse via affine transformation using sequential Monte Carlo

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