DocumentCode
2817916
Title
Histogram analysis of CT scans for patients with post-mastectomy lymphedema
Author
Tan, Maxine ; Deklerck, Rudi ; Tassenoy, An ; Cornelis, Jan ; De Mey, Johan ; Buls, Nico
Author_Institution
Dept. of Electron. & Inf, Vrije Univ. Brussel, Brussels, Belgium
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
1585
Lastpage
1588
Abstract
Post-mastectomy lymphedema is a condition that is present in many women after treatment for breast cancer. It causes physical discomfort, and when prolonged on the long term, results in the formation of fibrotic tissue in the edematous arm. A novel approach to analyze CT images of the arms and to assess the edematous components is proposed in this work. Histogram analysis is performed at different depths of the fat layer in the arm. The results show that the proposed method is useful in differentiating between the normal and the edematous arm, and in detecting fibrotic components in the edematous arm. The preliminary findings, obtained on nine patients, reveal promising new histogram features for the detection of edema and fibrosis and still have to be developed further in a future study.
Keywords
biological tissues; cancer; computerised tomography; medical image processing; patient treatment; CT images; CT scans; breast cancer treatment; edema detection; edematous arm; fibrotic component detection; fibrotic tissue formation; histogram analysis; patient treatment; post-mastectomy lymphedema; Breast cancer; Computed tomography; Conferences; Epidermis; Histograms; Muscles; Transforms; Computed Tomography (CT); Feature analysis; Learning systems; Post-mastectomy lymphedema; biomedical image processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6115752
Filename
6115752
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