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Abstract #3175

Segmentation of Bone Marrow of Pelvis in Multi-parametric MRI (T1-w/ADC-map) of Metastatic Breast Cancer Patients

Mahsa Rostamie1, Anahita Fathi Kazerooni1,2, and Hamidreza Saligheh Rad1

1Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran, 2Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran

To assess treatment response through quantitative analysis, in metastatic breast cancer patients, computer-aided segmentation of bone marrows is beneficial. We propose a semi-automatic segmentation method based on level-set and region growing techniques applied to T1-W images to facilitate extraction of apparent diffusion coefficient (ADC) features for the purpose of treatment response assessment from bone marrows of pelvic region. The results of applying the method on T1w/ADC-map of 10 patients shows a dice score of 81%, suggestive of high agreement of our proposed segmentation approach with expert’s opinion.

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