Interactive level set segmentation for image-guided therapy
Name
Ben-Zadok-2009-Interactive level set segmentation for image-guided therapy.pdf
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1.06 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Kiryati, Nahum
Ben-Zadok, Nir
Riklin-Raviv, Tammy
Date Issued
August 2009
Journal
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI '09
Publisher
Institute of Electrical and Electronics Engineers
Citation
Ben-Zadok, N., T. Riklin-Raviv, and N. Kiryati. “Interactive level set segmentation for image-guided therapy.” Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on. 2009. 1079-1082. ©2009 Institute of Electrical and Electronics Engineers.
Version
Final published version
Abstract
Image-guided therapy procedures require the patient to remain still throughout the image acquisition, data analysis and therapy. This imposes a tight time constraint on the over-all process. Automatic extraction of the pathological regions prior to the therapy can be faster than the customary manual segmentation performed by the physician. However, the image data alone is usually not sufficient for reliable and unambiguous computerized segmentation. Thus, the oversight of an experienced physician remains mandatory. We present a novel segmentation framework, that allows user feedback. A few mouse-clicks of the user, discrete in nature, are represented as a continuous energy term that is incorporated into a level-set functional. We demonstrate the proposed method on MR scans of uterine fibroids acquired prior to focused ultrasound ablation treatment. The experiments show that with a minimal user input, automatic segmentation results become practically identical to manual expert segmentation.
Subjects
User interaction
MR scans segmentation
Level-set framework
Image guided therapy
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
http://dx.doi.org/10.1109/ISBI.2009.5193243
