Tissue classification for PET/MRI attenuation correction using conditional random field and image fusion

Yang, Zhengyi, Choupan, Jeiran, Sepehrband, Farshid, Reutens, David and Crozier, Stuart (2013) Tissue classification for PET/MRI attenuation correction using conditional random field and image fusion. International Journal of Machine Learning and Computing, 3 1: 87-92. doi:10.7763/IJMLC.2013.V3.278

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Author Yang, Zhengyi
Choupan, Jeiran
Sepehrband, Farshid
Reutens, David
Crozier, Stuart
Title Tissue classification for PET/MRI attenuation correction using conditional random field and image fusion
Journal name International Journal of Machine Learning and Computing
ISSN 2010-3700
Publication date 2013-02
Sub-type Article (original research)
DOI 10.7763/IJMLC.2013.V3.278
Open Access Status DOI
Volume 3
Issue 1
Start page 87
End page 92
Total pages 6
Place of publication Singapore, Singapore
Publisher International Association of Computer Science and Information Technology (I A C S I T)
Collection year 2014
Language eng
Formatted abstract
Photon attenuation correction is a challenging task in the emerging hybrid PET/MRI medical imaging techniques because of the missing link between tissue attenuation coefficient and MRI signal. MRI-based tissue classification methods for attenuation correction have difficulties caused by the significantly different abilities of photon absorption in tissues with similar MRI signal, such as bone and air. We proposed a novel method of integrating the information from MRI and PET emission data to increase the tissue classification accuracy. A classifier based on conditional random field was trained using features extracted from fused MRI and uncorrected PET images. The efficacy of the proposed method was validated quantitatively on synthetic datasets. It was found that the inclusion of PET data improved the classifier’s performance in terms of classification accuracy and PET image reconstruction quality.
Keyword Attenuation correction
Conditional random field
Tissue classification
PET/MRI
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Thu, 17 Oct 2013, 15:00:58 EST by Anna Cotroneo on behalf of Centre for Advanced Imaging