We present a method for the detection and quantification of white matter infiltration from human brain tumours based on Diffusion Tensor Imaging (DTI). Since white matter destruction alters the local diffusion properties, DTI has the potential to sensitively detect tumour infiltration and to quantify the degree thereof Here, we consider three tumour patients with gliomas, two with and one without contralateral tumour progress. We use DTI to identify specific fibre systems, where infiltration has to be assessed. On this basis, the problem of arbitrary region of interest definition is solved such that tumour infiltration can be reliably quantified in particular fibre bundles. It is demonstrated at the Corpus Callosum (CC) and the Pyramidal Tract (PT) that fibre bundle infiltration can be well detected by specific visualisation techniques of diffusion tensor data. Infiltration of the CC is quantified by using a reliable method for the determination of diffusion properties inside particular fibre bundles. For an age normalised quantification of white matter infiltration we introduce the Integrity Index, which measures the diffusion anisotropy inside an infiltrated fibre bundle normalised by the diffusion anisotropy in a specific region of healthy fibre tissue. It turns out that the quantification of CC infiltration correlates with contralateral tumour progression and has the potential to serve as a surrogate marker for this process, which is crucial for surgical therapy decisions and intervention planning.
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Konkuk Univ, Coll Vet Med, Dept Vet Med Imaging, 120 Neungdong Ro, Seoul 05029, South KoreaKonkuk Univ, Coll Vet Med, Dept Vet Med Imaging, 120 Neungdong Ro, Seoul 05029, South Korea
Yoon, Hakyoung
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Kim, Jaehwan
Moon, Won-Jin
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Konkuk Univ, Sch Med, Med Ctr, Dept Radiol, Seoul, South KoreaKonkuk Univ, Coll Vet Med, Dept Vet Med Imaging, 120 Neungdong Ro, Seoul 05029, South Korea
Moon, Won-Jin
Nahm, Sang-Soep
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Konkuk Univ, Coll Vet Med, Lab Vet Anat, Seoul, South KoreaKonkuk Univ, Coll Vet Med, Dept Vet Med Imaging, 120 Neungdong Ro, Seoul 05029, South Korea
Nahm, Sang-Soep
Zhao, Jun
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Konkuk Univ, Dept Appl Stat, Seoul, South KoreaKonkuk Univ, Coll Vet Med, Dept Vet Med Imaging, 120 Neungdong Ro, Seoul 05029, South Korea
Zhao, Jun
Kim, Hyoung-Moon
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Konkuk Univ, Dept Appl Stat, Seoul, South KoreaKonkuk Univ, Coll Vet Med, Dept Vet Med Imaging, 120 Neungdong Ro, Seoul 05029, South Korea