Jan Egger

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. pmc GBM volumetry using the 3D Slicer medical image computing platform
    Jan Egger
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA, USA
    Sci Rep 3:1364. 2013
  2. pmc Pituitary adenoma volumetry with 3D Slicer
    Jan Egger
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
    PLoS ONE 7:e51788. 2012
  3. pmc Integration of the OpenIGTLink network protocol for image-guided therapy with the medical platform MeVisLab
    Jan Egger
    Brigham and Women s Hospital and Harvard Medical School, Department of Radiology, Boston, MA 02115, USA
    Int J Med Robot 8:282-90. 2012
  4. pmc Manual refinement system for graph-based segmentation results in the medical domain
    Jan Egger
    Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
    J Med Syst 36:2829-39. 2012
  5. pmc Template-cut: a pattern-based segmentation paradigm
    Jan Egger
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA, USA
    Sci Rep 2:420. 2012
  6. pmc Square-cut: a segmentation algorithm on the basis of a rectangle shape
    Jan Egger
    Department of Radiology, Surgical Planning Laboratory, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
    PLoS ONE 7:e31064. 2012
  7. doi request reprint Modeling and visualization techniques for virtual stenting of aneurysms and stenoses
    Jan Egger
    Surgical Planning Laboratory, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA, USA
    Comput Med Imaging Graph 36:183-203. 2012
  8. doi request reprint Segmentation of pituitary adenoma: a graph-based method vs. a balloon inflation method
    Jan Egger
    Department of Neurosurgery, University of Marburg, Marburg, Germany
    Comput Methods Programs Biomed 110:268-78. 2013
  9. pmc Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience
    Daniela Kuhnt
    Department of Neurosurgery, University of Marburg, Marburg, Germany
    Neurosurgery 72:165-75. 2013
  10. pmc 3-T MR-guided brachytherapy for gynecologic malignancies
    Tina Kapur
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    Magn Reson Imaging 30:1279-90. 2012

Collaborators

Detail Information

Publications10

  1. pmc GBM volumetry using the 3D Slicer medical image computing platform
    Jan Egger
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA, USA
    Sci Rep 3:1364. 2013
    ..A comparison of Slicer-based segmentation with manual slice-by-slice segmentation resulted in a Dice Similarity Coefficient of 88.43 ± 5.23% and a Hausdorff Distance of 2.32 ± 5.23 mm...
  2. pmc Pituitary adenoma volumetry with 3D Slicer
    Jan Egger
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
    PLoS ONE 7:e51788. 2012
    ..Furthermore, we calculated the Dice Similarity Coefficient (DSC) between the manual and the Slicer-based segmentations to proof that the two are comparable yielding an average DSC of 81.97±3.39%...
  3. pmc Integration of the OpenIGTLink network protocol for image-guided therapy with the medical platform MeVisLab
    Jan Egger
    Brigham and Women s Hospital and Harvard Medical School, Department of Radiology, Boston, MA 02115, USA
    Int J Med Robot 8:282-90. 2012
    ..MeVisLab is a framework for the development of image processing algorithms and visualization and interaction methods, with a focus on medical imaging...
  4. pmc Manual refinement system for graph-based segmentation results in the medical domain
    Jan Egger
    Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
    J Med Syst 36:2829-39. 2012
    ..The method can be applied to both 2D and 3D objects that have to be segmented. Experimental results for synthetic and real images are presented to demonstrate the feasibility of our approach...
  5. pmc Template-cut: a pattern-based segmentation paradigm
    Jan Egger
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA, USA
    Sci Rep 2:420. 2012
    ..We also evaluate it in 3D on 60 brain tumor datasets for neurosurgical planning purposes...
  6. pmc Square-cut: a segmentation algorithm on the basis of a rectangle shape
    Jan Egger
    Department of Radiology, Surgical Planning Laboratory, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
    PLoS ONE 7:e31064. 2012
    ..97±2.2%...
  7. doi request reprint Modeling and visualization techniques for virtual stenting of aneurysms and stenoses
    Jan Egger
    Surgical Planning Laboratory, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA, USA
    Comput Med Imaging Graph 36:183-203. 2012
    ..All methods are introduced in detail and are evaluated with phantom datasets as well as with real patient data from the clinical routine. Additionally, the clinical prototype that is based upon these methods is described...
  8. doi request reprint Segmentation of pituitary adenoma: a graph-based method vs. a balloon inflation method
    Jan Egger
    Department of Neurosurgery, University of Marburg, Marburg, Germany
    Comput Methods Programs Biomed 110:268-78. 2013
    ..9±7.2% for the balloon inflation method showing no significant difference. The overall segmentation time of the implemented approaches was less than 4s - compared with a manual segmentation that took, on the average, 3.9±0.5min...
  9. pmc Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience
    Daniela Kuhnt
    Department of Neurosurgery, University of Marburg, Marburg, Germany
    Neurosurgery 72:165-75. 2013
    ..With compressed sensing (CS) techniques, HARDI acquisitions with a smaller number of directional measurements can be used, thus enabling the use of HARDI-based fiber tractography in clinical practice...
  10. pmc 3-T MR-guided brachytherapy for gynecologic malignancies
    Tina Kapur
    Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    Magn Reson Imaging 30:1279-90. 2012
    ..The results demonstrate that 3-T MR image guidance has a role in gynecologic brachytherapy. These novel developments have the potential to improve targeted treatment to the tumor while sparing the normal tissues...