Quantification of heterogeneity in dynamic contrast enhanced MRI data for tumor treatment assessment

Lejla Alic, J. Veenland, M. Van Vliet, C. F. Van Dijke, A. M M Eggermont, W. J. Niessen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Experimental evidence exists that especially the heterogeneity in contrast enhancement as evaluated by Dynamic Contrast Enhanced MRI (DCE-MRI) is a predictive feature for treatment outcome in a variety of tumor types. In this study it is investigated whether texture descriptors derived from DCE-MRI based heuristic feature maps are suitable to quantify the heterogeneity in contrast uptake. An automated analysis method is proposed that for each voxel first partitions the signal intensity curve into different temporal regions indicating different stages of enhancement. Within these regions, heuristic features describing the contrast dynamics are estimated. The corresponding features maps are used as the basis for texture analysis, based on cooccurrence matrices, to assess tumor contrast uptake heterogeneity. The method has been applied in pre- and post treatment DCE-MRI data in ten patients with soft tissue sarcomas who underwent Isolated Limb Perfusion. The correspondence between texture measures and the heterogeneity in contrast uptake as visually assessed by a radiologist has been evaluated, and the ability of the texture measures to discriminate between two treatment outcome classes has been assessed. The preliminary results suggest that some of the proposed texture measures are suitable to quantify the heterogeneity in contrast uptake in tumor tissue.

Original languageEnglish
Title of host publication2006 3rd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages944-947
Number of pages4
Volume2006
Publication statusPublished - 17 Nov 2006
Externally publishedYes
Event2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, United States
Duration: 6 Apr 20069 Apr 2006

Other

Other2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro
CountryUnited States
CityArlington, VA
Period6/4/069/4/06

Fingerprint

Magnetic resonance imaging
Tumors
Textures
Tissue

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Alic, L., Veenland, J., Van Vliet, M., Van Dijke, C. F., Eggermont, A. M. M., & Niessen, W. J. (2006). Quantification of heterogeneity in dynamic contrast enhanced MRI data for tumor treatment assessment. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (Vol. 2006, pp. 944-947). [162575]

Quantification of heterogeneity in dynamic contrast enhanced MRI data for tumor treatment assessment. / Alic, Lejla; Veenland, J.; Van Vliet, M.; Van Dijke, C. F.; Eggermont, A. M M; Niessen, W. J.

2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006 2006. p. 944-947 162575.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alic, L, Veenland, J, Van Vliet, M, Van Dijke, CF, Eggermont, AMM & Niessen, WJ 2006, Quantification of heterogeneity in dynamic contrast enhanced MRI data for tumor treatment assessment. in 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. vol. 2006, 162575, pp. 944-947, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, United States, 6/4/06.
Alic L, Veenland J, Van Vliet M, Van Dijke CF, Eggermont AMM, Niessen WJ. Quantification of heterogeneity in dynamic contrast enhanced MRI data for tumor treatment assessment. In 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006. 2006. p. 944-947. 162575
Alic, Lejla ; Veenland, J. ; Van Vliet, M. ; Van Dijke, C. F. ; Eggermont, A. M M ; Niessen, W. J. / Quantification of heterogeneity in dynamic contrast enhanced MRI data for tumor treatment assessment. 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings. Vol. 2006 2006. pp. 944-947
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