title: FISICO: Fast Image SegmentatIon COrrection.
abstract: In clinical diagnosis, medical image segmentation plays a key role in the analysis of pathological regions. Despite advances in automatic and semi-automatic segmentation techniques, time-effective correction tools are commonly needed to improve segmentation results. Therefore, these tools must provide faster corrections with a lower number of interactions, and a user-independent solution to reduce the time frame between image acquisition and diagnosis.
  
  
  
  We present a new interactive method for correcting image segmentations. Our method provides 3D shape corrections through 2D interactions. This approach enables an intuitive and natural corrections of 3D segmentation results. The developed method has been implemented into a software tool and has been evaluated for the task of lumbar muscle and knee joint segmentations from MR images.
  
  
  
  Experimental results show that full segmentation corrections could be performed within an average correction time of 5.5±3.3 minutes and an average of 56.5±33.1 user interactions, while maintaining the quality of the final segmentation result within an average Dice coefficient of 0.92±0.02 for both anatomies. In addition, for users with different levels of expertise, our method yields a correction time and number of interaction decrease from 38±19.2 minutes to 6.4±4.3 minutes, and 339±157.1 to 67.7±39.6 interactions, respectively.
authors.affiliation: Institute of Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
authors.forename: Waldo
authors.initials: W
authors.lastname: Valenzuela
authors.affiliation: Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.
authors.forename: Stephen J
authors.initials: SJ
authors.lastname: Ferguson
authors.affiliation: Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.
authors.forename: Dominika
authors.initials: D
authors.lastname: Ignasiak
authors.affiliation: Department of Clinical Research / AMSM, University Hospital Inselspital, Bern, Switzerland.
authors.forename: Gaëlle
authors.initials: G
authors.lastname: Diserens
authors.affiliation: Support Center for Advanced Neuroimaging - Institute for Diagnostic and Interventional Neuroradiology, University Hospital Inselspital and University of Bern, Bern, Switzerland.
authors.forename: Levin
authors.initials: L
authors.lastname: Häni
authors.affiliation: Support Center for Advanced Neuroimaging - Institute for Diagnostic and Interventional Neuroradiology, University Hospital Inselspital and University of Bern, Bern, Switzerland.
authors.forename: Roland
authors.initials: R
authors.lastname: Wiest
authors.affiliation: Department of Clinical Research / AMSM, University Hospital Inselspital, Bern, Switzerland.
authors.forename: Peter
authors.initials: P
authors.lastname: Vermathen
authors.affiliation: Department of Clinical Research / AMSM, University Hospital Inselspital, Bern, Switzerland.
authors.forename: Chris
authors.initials: C
authors.lastname: Boesch
authors.affiliation: Institute of Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.
authors.forename: Mauricio
authors.identifier: 0000-0002-2434-9990
authors.initials: M
authors.lastname: Reyes
mesh_terms: D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D007719:Knee Joint / Q000000981:diagnostic imaging*; D008161:Lumbosacral Region / Q000000981:diagnostic imaging; D008279:Magnetic Resonance Imaging; D018482:Muscle, Skeletal / Q000000981:diagnostic imaging*