Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics.

Renaud Maroy; Raphaël Boisgard; Claude Comtat; Vincent Frouin; Pascal Cathier; Edouard Duchesnay; Frédéric Dollé; Peter E Nielsen; Régine Trébossen; Bertrand Tavitian

doi:10.1109/TMI.2007.905106

Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics.

Renaud Maroy, Raphaël Boisgard, Claude Comtat, Vincent Frouin, Pascal Cathier, Edouard Duchesnay, Frédéric Dollé, Peter E Nielsen, Régine Trébossen, Bertrand Tavitian

Department of Cellular and Molecular Medicine

57 Citations (Scopus)

Abstract

Positron emission tomography (PET) is a useful tool for pharmacokinetics studies in rodents during the preclinical phase of drug and tracer development. However, rodent organs are small as compared to the scanner's intrinsic resolution and are affected by physiological movements. We present a new method for the segmentation of rodent whole-body PET images that takes these two difficulties into account by estimating the pharmacokinetics far from organ borders. The segmentation method proved efficient on whole-body numerical rat phantom simulations, including 3-14 organs, together with physiological movements (heart beating, breathing, and bladder filling). The method was resistant to spillover and physiological movements, while other methods failed to obtain a correct segmentation. The radioactivity concentrations calculated with this method also showed an excellent correlation with the manual delineation of organs in a large set of preclinical images. In addition, it was faster, detected more organs, and extracted organs' mean time activity curves with a better confidence on the measure than manual delineation.

Original language	English
Journal	IEEE Transactions on Medical Imaging
Volume	27
Issue number	3
Pages (from-to)	342-54
Number of pages	12
ISSN	0278-0062
DOIs	https://doi.org/10.1109/TMI.2007.905106
Publication status	Published - 2008

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title = "Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics.",

abstract = "Positron emission tomography (PET) is a useful tool for pharmacokinetics studies in rodents during the preclinical phase of drug and tracer development. However, rodent organs are small as compared to the scanner's intrinsic resolution and are affected by physiological movements. We present a new method for the segmentation of rodent whole-body PET images that takes these two difficulties into account by estimating the pharmacokinetics far from organ borders. The segmentation method proved efficient on whole-body numerical rat phantom simulations, including 3-14 organs, together with physiological movements (heart beating, breathing, and bladder filling). The method was resistant to spillover and physiological movements, while other methods failed to obtain a correct segmentation. The radioactivity concentrations calculated with this method also showed an excellent correlation with the manual delineation of organs in a large set of preclinical images. In addition, it was faster, detected more organs, and extracted organs' mean time activity curves with a better confidence on the measure than manual delineation.",

author = "Renaud Maroy and Rapha{\"e}l Boisgard and Claude Comtat and Vincent Frouin and Pascal Cathier and Edouard Duchesnay and Fr{\'e}d{\'e}ric Doll{\'e} and Nielsen, {Peter E} and R{\'e}gine Tr{\'e}bossen and Bertrand Tavitian",

note = "Keywords: Algorithms; Animals; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Phantoms, Imaging; Positron-Emission Tomography; Rats; Reproducibility of Results; Sensitivity and Specificity; Whole Body Imaging",

year = "2008",

doi = "10.1109/TMI.2007.905106",

language = "English",

volume = "27",

pages = "342--54",

journal = "I E E E Transactions on Medical Imaging",

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publisher = "Institute of Electrical and Electronics Engineers",

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TY - JOUR

T1 - Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics.

AU - Maroy, Renaud

AU - Boisgard, Raphaël

AU - Comtat, Claude

AU - Frouin, Vincent

AU - Cathier, Pascal

AU - Duchesnay, Edouard

AU - Dollé, Frédéric

AU - Nielsen, Peter E

AU - Trébossen, Régine

AU - Tavitian, Bertrand

N1 - Keywords: Algorithms; Animals; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Pattern Recognition, Automated; Phantoms, Imaging; Positron-Emission Tomography; Rats; Reproducibility of Results; Sensitivity and Specificity; Whole Body Imaging

PY - 2008

Y1 - 2008

N2 - Positron emission tomography (PET) is a useful tool for pharmacokinetics studies in rodents during the preclinical phase of drug and tracer development. However, rodent organs are small as compared to the scanner's intrinsic resolution and are affected by physiological movements. We present a new method for the segmentation of rodent whole-body PET images that takes these two difficulties into account by estimating the pharmacokinetics far from organ borders. The segmentation method proved efficient on whole-body numerical rat phantom simulations, including 3-14 organs, together with physiological movements (heart beating, breathing, and bladder filling). The method was resistant to spillover and physiological movements, while other methods failed to obtain a correct segmentation. The radioactivity concentrations calculated with this method also showed an excellent correlation with the manual delineation of organs in a large set of preclinical images. In addition, it was faster, detected more organs, and extracted organs' mean time activity curves with a better confidence on the measure than manual delineation.

AB - Positron emission tomography (PET) is a useful tool for pharmacokinetics studies in rodents during the preclinical phase of drug and tracer development. However, rodent organs are small as compared to the scanner's intrinsic resolution and are affected by physiological movements. We present a new method for the segmentation of rodent whole-body PET images that takes these two difficulties into account by estimating the pharmacokinetics far from organ borders. The segmentation method proved efficient on whole-body numerical rat phantom simulations, including 3-14 organs, together with physiological movements (heart beating, breathing, and bladder filling). The method was resistant to spillover and physiological movements, while other methods failed to obtain a correct segmentation. The radioactivity concentrations calculated with this method also showed an excellent correlation with the manual delineation of organs in a large set of preclinical images. In addition, it was faster, detected more organs, and extracted organs' mean time activity curves with a better confidence on the measure than manual delineation.

U2 - 10.1109/TMI.2007.905106

DO - 10.1109/TMI.2007.905106

M3 - Journal article

C2 - 18334430

SN - 0278-0062

VL - 27

SP - 342

EP - 354

JO - I E E E Transactions on Medical Imaging

JF - I E E E Transactions on Medical Imaging

IS - 3

ER -

Segmentation of rodent whole-body dynamic PET images: an unsupervised method based on voxel dynamics.

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