Difference between revisions of "Projects:TopologyCorrectionNonSeparatingLoops"

From NAMIC Wiki
Jump to: navigation, search
Line 3: Line 3:
 
  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
 
  Back to [[NA-MIC_Collaborations|NA-MIC_Collaborations]]
  
'''Objective'''  
+
'''Objectives'''  
  
 
Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops
 
Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops
Line 14: Line 14:
  
 
''Abstract'': In this paper, we focus on the retrospective topology correction of surfaces. We propose a technique to accurately correct the spherical topology of cortical surfaces. Specifically,we construct a mapping from the original surface onto the sphere to detect topological defects as minimal nonhomeomorphic regions. The topology of each defect is then corrected by opening and sealing the surface along a set of nonseparating loops that are selected in a Bayesian framework. The proposed method is a wholly self-contained topology correction algorithm, which determines geometrically accurate, topologically correct solutions based on the magnetic resonance imaging (MRI) intensity profile and the expected local curvature. Applied to real data, our method provides topological corrections similar to those made by a trained operator.
 
''Abstract'': In this paper, we focus on the retrospective topology correction of surfaces. We propose a technique to accurately correct the spherical topology of cortical surfaces. Specifically,we construct a mapping from the original surface onto the sphere to detect topological defects as minimal nonhomeomorphic regions. The topology of each defect is then corrected by opening and sealing the surface along a set of nonseparating loops that are selected in a Bayesian framework. The proposed method is a wholly self-contained topology correction algorithm, which determines geometrically accurate, topologically correct solutions based on the magnetic resonance imaging (MRI) intensity profile and the expected local curvature. Applied to real data, our method provides topological corrections similar to those made by a trained operator.
 +
 +
''References''
  
 
'''Key Investigators'''  
 
'''Key Investigators'''  
  
* Florent Ségonne, Jenni Pacheco, and Bruce Fischl
+
* MGH: Florent Ségonne, Jenni Pacheco, and Bruce Fischl
 +
 
 +
'''Links'''

Revision as of 13:39, 4 September 2007

Home < Projects:TopologyCorrectionNonSeparatingLoops

Geometrically-Accurate Topology-Correction of Cortical Surfaces using Non-Separating Loops

Back to NA-MIC_Collaborations

Objectives

Geometrically Accurate Topology-Correction of Cortical Surfaces Using Nonseparating Loops

Progress

Status: Prototype

Submitted: IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 26, NO. 4, APRIL 2007

Abstract: In this paper, we focus on the retrospective topology correction of surfaces. We propose a technique to accurately correct the spherical topology of cortical surfaces. Specifically,we construct a mapping from the original surface onto the sphere to detect topological defects as minimal nonhomeomorphic regions. The topology of each defect is then corrected by opening and sealing the surface along a set of nonseparating loops that are selected in a Bayesian framework. The proposed method is a wholly self-contained topology correction algorithm, which determines geometrically accurate, topologically correct solutions based on the magnetic resonance imaging (MRI) intensity profile and the expected local curvature. Applied to real data, our method provides topological corrections similar to those made by a trained operator.

References

Key Investigators

  • MGH: Florent Ségonne, Jenni Pacheco, and Bruce Fischl

Links