Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment.
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| Title: | Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment. |
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| Authors: | Larkin, Timothy J.1,2, Canuto, Holly C.1,2, Kettunen, Mikko I.1,2, Booth, Thomas C.1,2, Hu, De‐En1,2, Krishnan, Anant S.1, Bohndiek, Sarah E.1,2, Neves, André A.1,2, McLachlan, Charles3, Hobson, Michael P.3, Brindle, Kevin M.1,2 |
| Source: | Magnetic Resonance in Medicine. Jan2014, Vol. 71 Issue 1, p402-410. 9p. |
| Abstract: | Purpose The acquisition of ever increasing volumes of high resolution magnetic resonance imaging (MRI) data has created an urgent need to develop automated and objective image analysis algorithms that can assist in determining tumor margins, diagnosing tumor stage, and detecting treatment response. Methods We have shown previously that Minkowski functionals, which are precise morphological and structural descriptors of image heterogeneity, can be used to enhance the detection, in T1-weighted images, of a targeted Gd3+-chelate-based contrast agent for detecting tumor cell death. We have used Minkowski functionals here to characterize heterogeneity in T2-weighted images acquired before and after drug treatment, and obtained without contrast agent administration. Results We show that Minkowski functionals can be used to characterize the changes in image heterogeneity that accompany treatment of tumors with a vascular disrupting agent, combretastatin A4-phosphate, and with a cytotoxic drug, etoposide. Conclusions Parameterizing changes in the heterogeneity of T2-weighted images can be used to detect early responses of tumors to drug treatment, even when there is no change in tumor size. The approach provides a quantitative and therefore objective assessment of treatment response that could be used with other types of MR image and also with other imaging modalities. Magn Reson Med 71:402-410, 2014. © 2013 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR] |
| Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 93000280 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Larkin%2C+Timothy+J%2E%22">Larkin, Timothy J.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Canuto%2C+Holly+C%2E%22">Canuto, Holly C.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Kettunen%2C+Mikko+I%2E%22">Kettunen, Mikko I.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Booth%2C+Thomas+C%2E%22">Booth, Thomas C.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Hu%2C+De‐En%22">Hu, De‐En</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Krishnan%2C+Anant+S%2E%22">Krishnan, Anant S.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Bohndiek%2C+Sarah+E%2E%22">Bohndiek, Sarah E.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Neves%2C+André+A%2E%22">Neves, André A.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22McLachlan%2C+Charles%22">McLachlan, Charles</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Hobson%2C+Michael+P%2E%22">Hobson, Michael P.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Brindle%2C+Kevin+M%2E%22">Brindle, Kevin M.</searchLink><relatesTo>1,2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Jan2014, Vol. 71 Issue 1, p402-410. 9p. – Name: Abstract Label: Abstract Group: Ab Data: Purpose The acquisition of ever increasing volumes of high resolution magnetic resonance imaging (MRI) data has created an urgent need to develop automated and objective image analysis algorithms that can assist in determining tumor margins, diagnosing tumor stage, and detecting treatment response. Methods We have shown previously that Minkowski functionals, which are precise morphological and structural descriptors of image heterogeneity, can be used to enhance the detection, in T1-weighted images, of a targeted Gd3+-chelate-based contrast agent for detecting tumor cell death. We have used Minkowski functionals here to characterize heterogeneity in T2-weighted images acquired before and after drug treatment, and obtained without contrast agent administration. Results We show that Minkowski functionals can be used to characterize the changes in image heterogeneity that accompany treatment of tumors with a vascular disrupting agent, combretastatin A4-phosphate, and with a cytotoxic drug, etoposide. Conclusions Parameterizing changes in the heterogeneity of T2-weighted images can be used to detect early responses of tumors to drug treatment, even when there is no change in tumor size. The approach provides a quantitative and therefore objective assessment of treatment response that could be used with other types of MR image and also with other imaging modalities. Magn Reson Med 71:402-410, 2014. © 2013 Wiley Periodicals, Inc. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/mrm.24644 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 402 Titles: – TitleFull: Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Larkin, Timothy J. – PersonEntity: Name: NameFull: Canuto, Holly C. – PersonEntity: Name: NameFull: Kettunen, Mikko I. – PersonEntity: Name: NameFull: Booth, Thomas C. – PersonEntity: Name: NameFull: Hu, De‐En – PersonEntity: Name: NameFull: Krishnan, Anant S. – PersonEntity: Name: NameFull: Bohndiek, Sarah E. – PersonEntity: Name: NameFull: Neves, André A. – PersonEntity: Name: NameFull: McLachlan, Charles – PersonEntity: Name: NameFull: Hobson, Michael P. – PersonEntity: Name: NameFull: Brindle, Kevin M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2014 Type: published Y: 2014 Identifiers: – Type: issn-print Value: 07403194 Numbering: – Type: volume Value: 71 – Type: issue Value: 1 Titles: – TitleFull: Magnetic Resonance in Medicine Type: main |
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