Literature DB >> 17294668

PET kinetic analysis--compartmental model.

Hiroshi Watabe1, Yoko Ikoma, Yuichi Kimura, Mika Naganawa, Miho Shidahara.   

Abstract

PET enables not only visualization of the distribution of radiotracer, but also has ability to quantify several biomedical functions. Compartmental model is a basic idea to analyze dynamic PET data. This review describes the principle of the compartmental model and categorizes the techniques and approaches for the compartmental model according to various aspects: model design, experimental design, invasiveness, and mathematical solution. We also discussed advanced applications of the compartmental analysis with PET.

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Year:  2006        PMID: 17294668     DOI: 10.1007/bf02984655

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  46 in total

1.  Scalable surrogate deconvolution for identification of partially-observable systems and brain modeling.

Authors:  Matthew F Singh; Anxu Wang; Todd S Braver; ShiNung Ching
Journal:  J Neural Eng       Date:  2020-08-11       Impact factor: 5.379

2.  A positron-probe system for arterial input function quantification for positron emission tomography in humans.

Authors:  Kihak Lee; Peter T Fox; Jack L Lancaster; Paul A Jerabek
Journal:  Rev Sci Instrum       Date:  2008-06       Impact factor: 1.523

Review 3.  Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Authors:  Giampaolo Tomasi; Federico Turkheimer; Eric Aboagye
Journal:  Mol Imaging Biol       Date:  2012-04       Impact factor: 3.488

4.  Fully parametric imaging with reversible tracer 18F-FLT within a reasonable time.

Authors:  Nobuyuki Kudomi; Yukito Maeda; Tetsuhiro Hatakeyama; Yuka Yamamoto; Yoshihiro Nishiyama
Journal:  Radiol Phys Technol       Date:  2016-07-05

5.  Imaging with radiolabelled anti-membrane type 1 matrix metalloproteinase (MT1-MMP) antibody: potentials for characterizing atherosclerotic plaques.

Authors:  Yuji Kuge; Nozomi Takai; Yuki Ogawa; Takashi Temma; Yan Zhao; Kantaro Nishigori; Seigo Ishino; Junko Kamihashi; Yasushi Kiyono; Masashi Shiomi; Hideo Saji
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-07-13       Impact factor: 9.236

Review 6.  Development of (18)F-labeled radiotracers for neuroreceptor imaging with positron emission tomography.

Authors:  Peter Brust; Jörg van den Hoff; Jörg Steinbach
Journal:  Neurosci Bull       Date:  2014-08-29       Impact factor: 5.203

Review 7.  Recent advances in parametric neuroreceptor mapping with dynamic PET: basic concepts and graphical analyses.

Authors:  Seongho Seo; Su Jin Kim; Dong Soo Lee; Jae Sung Lee
Journal:  Neurosci Bull       Date:  2014-09-28       Impact factor: 5.203

8.  Dynamic PET simulator via tomographic emission projection for kinetic modeling and parametric image studies.

Authors:  Ida Häggström; Bradley J Beattie; C Ross Schmidtlein
Journal:  Med Phys       Date:  2016-06       Impact factor: 4.071

Review 9.  Radiomics in precision medicine for lung cancer.

Authors:  Julie Constanzo; Lise Wei; Huan-Hsin Tseng; Issam El Naqa
Journal:  Transl Lung Cancer Res       Date:  2017-12

10.  An imaging-driven model for liposomal stability and circulation.

Authors:  Shengping Qin; Jai Woong Seo; Hua Zhang; Jinyi Qi; Fitz-Roy E Curry; Katherine W Ferrara
Journal:  Mol Pharm       Date:  2010-02-01       Impact factor: 4.939

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