Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

The Publication Database hosted by SPL

All Publications | Upload | Advanced Search | Gallery View | Download Statistics | Help | Import | Log in

Interactive Medical Image Segmentation using PDE Control of Active Contours

Institution:
Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Publisher:
IEEE Engineering in Medicine and Biology Society
Publication Date:
Nov-2013
Journal:
IEEE Trans Med Imaging
Volume Number:
32
Issue Number:
11
Pages:
2127-39
Citation:
IEEE Trans Med Imaging. 2013 Nov;32(11):2127-39.
PubMed ID:
23893712
PMCID:
PMC4006349
Keywords:
Computed tomography (CT), human–computer interaction, image segmentation, level set methods, magnetic resonance imaging (MRI), partial differential equation (PDE) control, reaction-diffusion
Appears in Collections:
NAC, NA-MIC, SLICER
Sponsors:
P41 EB015902/EB/NIBIB NIH HHS/United States
P41 RR013218/RR/NCRR NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Karasev P., Kolesov I., Fritscher K., Vela P., Mitchell P., Tannenbaum A. Interactive Medical Image Segmentation using PDE Control of Active Contours. IEEE Trans Med Imaging. 2013 Nov;32(11):2127-39. PMID: 23893712. PMCID: PMC4006349.
Downloaded: 666 times. [view map]
Paper: Download, View online
Export citation:
Google Scholar: link

Segmentation of injured or unusual anatomic structures in medical imagery is a problem that has continued to elude fully automated solutions. In this paper, the goal of easy-to-use and consistent interactive segmentation is transformed into a control synthesis problem. A nominal level set partial differential equation (PDE) is assumed to be given; this open-loop system achieves correct segmentation under ideal conditions, but does not agree with a human expert's ideal boundary for real image data. Perturbing the state and dynamics of a level set PDE via the accumulated user input and an observer-like system leads to desirable closed-loop behavior. The input structure is designed such that a user can stabilize the boundary in some desired state without needing to understand any mathematical parameters. Effectiveness of the technique is illustrated with applications to the challenging segmentations of a patellar tendon in magnetic resonance and a shattered femur in computed tomography.

Additional Material
1 File (178.499kB)
Karasev-ProcIEEEConfDecisControl2011-fig2.jpg (178.499kB)