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Abstract #3087

Accurate Monitoring of the Treatment Response in Whole-Body Bone Marrow Metastatic Cancers Based on ADC Histogram Analysis Employing an Automatic Multiparametric (T1/ADC) Registration/Segmentation Approach

Faezeh Sanaei Nezhad1, Anahita Fathi Kazerooni2, 3, Anwar R. Padhani4, Hamid Soltanian Zadeh1, Hamidreza Saligheh Rad2, 3

1School of Electrical and Computer Engineering (ECE), College of Engineering, University of Tehran, Tehran, Iran; 2Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran; 3Quantitative MR Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran; 4Paul Strickland Scanner Centre, Mount Vernon Cancer Centre, London, United Kingdom

Bone marrow metastases are common manifestation of many malignant cancers. In order to gain deeper insight into patients state of disease and the treatment response, the bone marrow cellularity can be assessed by the histogram analysis and monitoring of the ADC-maps acquired by DW-MRI. However, correct decision making about the effectiveness of therapy is dependent on the ROIs selected from the ADC-maps, raising concerns about the susceptibility of manual ROI placement to human errors. In this work, an automatic bone marrow registration/segmentation histogram analysis approach was applied to the ADC-maps, to show its superiority over the manual ROI analysis method.

Keywords

abdominal accurate achieve acquisition among apparent appears applying assessment audience automatic automatically biomedical body bone border borders breast calculations cancer cancers capability caused certain college complete complex compromising computed consists consuming correct correction cystic decrease deformation detection deviation diagram difficult diffusion drug electrical employing engineering engineers error events excluded expect expected extract extraction female findings goals growing histogram histograms human implemented implying improve increasing increment indicates inferred intensity intervals irreproducible issue knowledge manual manually mapping maps marrow materials matrix medical metastases metastatic model monitoring motion mount moving mutual nature necrotic oncologists organs outcome overall patient patients performance period physicists plan positive potent processing proper proposed quantitative radiologists reduce registration related respectively response rigid robust scanner school sciences seem segmentation segmented selection settings shape shortest sign simplification slice slices software spaces specialized specifications spectroscopy statistical steps subjective superior surrounding susceptible table target therapy threshold tissues treatment trend true variations various whole years