NDLI: Automatic detection of bone marrow infiltration by multiple myeloma detection in low-dose CT

Content Provider	IEEE Xplore Digital Library
Author	Martinez-Martinez, F. Kybic, J. Lambert, L.
Copyright Year	2015
Description	Author affiliation: Dept. of Cybern., Czech Tech. Univ. in Prague, Prague, Czech Republic (Martinez-Martinez, F.; Kybic, J.) \|\| Dept. of Radiol., Charles Univ. in Prague, Prague, Czech Republic (Lambert, L.)
Abstract	Multiple myeloma is a disease primarily affecting bone marrow. This paper presents a novel method that can automatically detect infiltration of the bone marrow by multiple myeloma in diseased femurs (thigh bones) from low-dose CT images. This detection is done by evaluating two aspects of the CT images: bone marrow infiltrations (increased density values compared to regular fatty bone marrow) and scalloping (indentation of the inner margin of the cortical bone). First, bone marrow and cortical bone are automatically segmented from CT images. Afterwards, a probabilistic model of the bone marrow density is created in order to automatically detect islands of infiltrations. Finally, scalloping is detected by means of the quantification of the roughness of the boundary between the bone marrow and bony tissue. We have experimentally tested both infiltration and scalloping detection methods, obtaining a sensitivity of 74.9% and 69.2% and a specificity of 75% and 61% respectively.
Starting Page	4813
Ending Page	4817
File Size	2142146
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351721
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bones Computed tomography Histograms Image segmentation Probabilistic logic Computational modeling detection Myeloma scalloping infiltration automatic
Content Type	Text
Resource Type	Article

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