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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F15%3A10322931" target="_blank" >RIV/00216208:11110/15:10322931 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21230/15:00235478
Result on the web
<a href="http://dx.doi.org/10.1109/ICIP.2015.7351721" target="_blank" >http://dx.doi.org/10.1109/ICIP.2015.7351721</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIP.2015.7351721" target="_blank" >10.1109/ICIP.2015.7351721</a>

Result language
angličtina
Original language name
Automatic detection of bone marrow infiltration by multiple myeloma detection in low-dose CT
Original language description
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. (C) 2015 IEEE.
Czech name
—
Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings - International Conference on Image Processing, ICIP
ISBN
978-1-4799-8339-1
ISSN
1522-4880
e-ISSN
—
Number of pages
5
Pages from-to
4813-4817
Publisher name
IEEE Computer Society
Place of publication
USA
Event location
Québec City, Canada
Event date
Sep 27, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000371977804190

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