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Abstract #4122

Threshold isocontouring on high b-value diffusion weighted images in magnetic resonance mammography

Fangrong Zong1, Sebastian Bickelhaupt2, Tristan Anselm Kuder3, Wolfgang Lederer4, Heidi Daniel5, Anne Stieber6, Heinz Peter Schlemmer2, Xiaoliang Zhang7,8, Petrik Galvosas9, and Frederik Bernd Laun10

1The Key Laboratory for Interdisciplinary Research, Institute of Biophysics, China Academy of Sciences, Beijing, China, 2Department of Radiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany, 3Medical Physics in Radiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany, 4Radiological Practice at the ATOS Clinic Heidelberg, Heidelberg, Germany, 5Radiology Centre Mannheim, Mannheim, Germany, 6Department of Clinical and Interventional Radiology, University Hospital Heidelberg, Mannheim, Germany, 7Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 8UCSF/UC Berkeley Joint Graduate Group in Bioengineering San Francisco, San Francisco, CA, United States, 9MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Physical and Chemical Sciences, Victoria University of Wellington, Wellington, New Zealand, 10Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

Quantitative evaluation in clinical practice is important for accurate diagnosis, which is often difficult in breast diffusion measurements where large variability of the diffusion metrics is present. Motivated by similar appearance of malignant breast lesions in high b-value diffusion-weighted imaging (DWI) and positron emission tomography (PET), we propose a threshold isocontouring approach commonly used in PET to analyse breast DWI data with minimal inter-observer variability. Our results support that using a relative threshold level of 0.85 almost completely suppresses the intra- and inter-individual variability. This study suggests that the proposed approach is advantageous in the breast DWI data analysis and quantitative evaluation.

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