Literature DB >> 19253374

Characterization of image heterogeneity using 2D Minkowski functionals increases the sensitivity of detection of a targeted MRI contrast agent.

Holly C Canuto1, Charles McLachlan, Mikko I Kettunen, Marko Velic, Anant S Krishnan, Andre' A Neves, Maaike de Backer, D-E Hu, Michael P Hobson, Kevin M Brindle.   

Abstract

A targeted Gd(3+)-based contrast agent has been developed that detects tumor cell death by binding to the phosphatidylserine (PS) exposed on the plasma membrane of dying cells. Although this agent has been used to detect tumor cell death in vivo, the differences in signal intensity between treated and untreated tumors was relatively small. As cell death is often spatially heterogeneous within tumors, we investigated whether an image analysis technique that parameterizes heterogeneity could be used to increase the sensitivity of detection of this targeted contrast agent. Two-dimensional (2D) Minkowski functionals (MFs) provided an automated and reliable method for parameterization of image heterogeneity, which does not require prior assumptions about the number of regions or features in the image, and were shown to increase the sensitivity of detection of the contrast agent as compared to simple signal intensity analysis. (c) 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19253374     DOI: 10.1002/mrm.21946

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  9 in total

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2.  IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.

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Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

Review 3.  The emerging role of diffusion-weighted MRI in prostate cancer management.

Authors:  Edward M Lawrence; Vincent J Gnanapragasam; Andrew N Priest; Evis Sala
Journal:  Nat Rev Urol       Date:  2012-01-17       Impact factor: 14.432

Review 4.  Radiomics: the process and the challenges.

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Journal:  Magn Reson Imaging       Date:  2012-08-13       Impact factor: 2.546

Review 5.  Watching tumours gasp and die with MRI: the promise of hyperpolarised 13C MR spectroscopic imaging.

Authors:  K Brindle
Journal:  Br J Radiol       Date:  2012-04-11       Impact factor: 3.039

Review 6.  Quantitative imaging in cancer evolution and ecology.

Authors:  Robert A Gatenby; Olya Grove; Robert J Gillies
Journal:  Radiology       Date:  2013-10       Impact factor: 11.105

7.  Analysis of heterogeneity in T2-weighted MR images can differentiate pseudoprogression from progression in glioblastoma.

Authors:  Thomas C Booth; Timothy J Larkin; Yinyin Yuan; Mikko I Kettunen; Sarah N Dawson; Daniel Scoffings; Holly C Canuto; Sarah L Vowler; Heide Kirschenlohr; Michael P Hobson; Florian Markowetz; Sarah Jefferies; Kevin M Brindle
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

8.  Analysis of peritumoral hyperintensity on pre-operative T2-weighted MR images in glioblastoma: Additive prognostic value of Minkowski functionals.

Authors:  Yangsean Choi; Kook Jin Ahn; Yoonho Nam; Jinhee Jang; Na-Young Shin; Hyun Seok Choi; So-Lyung Jung; Bum-Soo Kim
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

Review 9.  Current advances in mathematical modeling of anti-cancer drug penetration into tumor tissues.

Authors:  Munju Kim; Robert J Gillies; Katarzyna A Rejniak
Journal:  Front Oncol       Date:  2013-11-18       Impact factor: 6.244

  9 in total

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