Abstract #3754
Accurate Bone Marrow Extraction from T1-w Images and ADC-maps in Patients with Metastatic Cancer: A Texture-Based Segmentation Approach
Parmida Moradi Birgani 1,2 , Anahita Fathi Kazerooni 1,2 , Hamidreza Haghighatkhah 3 , Pedram Fadavi 4 , Mohsen Shojaei Moghaddam 5 , Meghdad Ashtiyani 6 , and Hamidreza Saligheh Rad 1,2
1
Quantitative MR Imaging and Spectroscopy
Group, Research Center for Molecular and Cellular
Imaging, Tehran University of Medical Sciences, Tehran,
Iran,
2
Department of Medical Physics and
Biomedical Engineering, School of Medicine, Tehran
University of Medical Sciences, Tehran, Iran,
3
Department
of Radiology, School of Medicine, Shahid Beheshti
University of Medical Sciences, Tehran, Iran,
4
Radiation
Oncology Department, Iran University of Medical
Sciences, Tehran, Iran,
5
Imaging
Center, Payambaran Hospital, Tehran, Iran,
6
Department
of Medical Physics and Biomedical Engineering, School of
Medicine, International Campus, Tehran University of
Medical Sciences, Tehran, Iran
Accurate assessment of bone marrow, as a common site of
metastasis among patients with breast cancer, in DW-MR
images is of high clinical importance. In this regard,
bone marrow extraction could play an important role in
providing early markers of tumor progression to be
followed by proper therapy planning. However, the
existing bone marrow segmentation methods are prone to
errors due to heterogeneous nature of tumors,
mis-registration and lack of reproducibility. This issue
becomes even more challenging in extracting bone marrows
from ADC-maps where there is a lack of morphological
information. In this work, we proposed a novel
texture-based segmentation approach, which could be
reliably used for bone marrow extraction from ADC-maps.
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