Difference between revisions of "TubeTK/Data"

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= Data =  
= Data =  
* MIDAS: MRI/MRA Data from UNC
* 100 Healthy Normal MRIs and MRAs from UNC
** [http://insight-journal.org/midas/community/view/21?path_navigation=19-15]
** http://insight-journal.org/midas/community/view/21?path_navigation=19-15
* TubeTK Testing Data
** http://midas3.kitware.com/midas/community/7


= Patents =
= Patents =

Revision as of 15:06, 19 November 2012

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Target Conferences and Publications

  • IEEE Transactions on Medical Imaging
  • Medical Image Analysis
  • IPMI
  • MICCAI
  • MMBIA
  • IPCAI + CARS
  • CVPR
  • ICCV
  • ECCV

Data

Patents

  • 6,690,816 : "Systems and methods for tubular object processing" Stephen R. Aylward, Elizabeth Bullitt, Daniel Fritsch, Stephen M. Pizer, February 2004
    • Patent is held by UNC. A world-wide, unrestricted, free license has been granted.

Books

  • Aylward S, Bullitt E, “Chapter 11: Clinical Applications Involving Vascular Image Segmentation and Registration” in Angiography and Plaque Imaging: A Segmentation Perspective, Academic Press, 2002 pp. 529-579

Journal Articles

  • R. C. Gessner, S. R. Aylward, and P. A. Dayton, “Mapping Microvasculature with Acoustic Angiography Yields Quantifiable Differences between Healthy and Tumor-bearing Tissue Volumes in a Rodent Model,” Radiology, vol. 264, no. 3, pp. 733–740, 2012.
  • E. Bullitt, D. Zeng, B. Mortamet, A. Ghosh, S. R. Aylward, W. Lin, B. L. Marks, and K. Smith, “The effects of healthy aging on intracerebral blood vessels visualized by magnetic resonance angiography,” NEUROBIOLOGY OF AGING, vol. 31, no. 2, pp. 290–300, Feb. 2010.
  • E. Bullitt, M. Ewend, J. Vredenburgh, A. Friedman, W. Lin, K. Wilber, D. Zeng, S. R. Aylward, and D. Reardon, “Computerized assessment of vessel morphological changes during treatment of glioblastoma multiforme: Report of a case imaged serially by MRA over four years,” NEUROIMAGE, vol. 47, pp. T143–T151, Aug. 2009.
  • G. Piliere, M. H. Van Horn, R. Dixon, J. Stavas, S. Aylward, and E. Bullitt, “Vessel target location estimation during the TIPS procedure,” MEDICAL IMAGE ANALYSIS, vol. 13, no. 3, pp. 519–529, Jun. 2009.
  • E. Bullitt, S. R. Aylward, T. Van Dyke, and W. Lin, “Computer-assisted measurement of vessel shape from 3T magnetic resonance angiography of mouse brain,” METHODS, vol. 43, no. 1, pp. 29–34, Sep. 2007.
  • S. Aylward, K. Cleary, and D. Hawkes, “Intraoperative image processing for surgical guidance,” IEEE TRANSACTIONS ON MEDICAL IMAGING, vol. 24, no. 11, pp. 1401–1404, Nov. 2005.
  • E. Bullitt, D. Zeng, G. Gerig, S. Aylward, S. Joshi, J. Smith, W. Lin, and M. Ewend, “Vessel tortuosity and brain tumor malignancy: A blinded study,” ACADEMIC RADIOLOGY, vol. 12, no. 10, pp. 1232–1240, Oct. 2005. Winner 2006 Herbert M. Stauffer Award by the Association of University Radiologists PMID: 16179200
  • E. Bullitt, K. Muller, I. Jung, W. Lin, and S. Aylward, “Analyzing attributes of vessel populations,” MEDICAL IMAGE ANALYSIS, vol. 9, no. 1, pp. 39–49, Feb. 2005.
  • E. Bullitt, M. Ewend, S. Aylward, W. Lin, G. Gerig, S. Joshi, I. Jung, K. Muller, and J. Smith, “Abnormal vessel tortuosity as a marker of treatment response of malignant gliomas: Preliminary report,” TECHNOLOGY IN CANCER RESEARCH & TREATMENT, vol. 3, no. 6, pp. 577–584, Dec. 2004.
  • Y. Fridman, S. Pizer, S. Aylward, and E. Bullitt, “Extracting branching tubular object geometry via cores,” MEDICAL IMAGE ANALYSIS, vol. 8, no. 3, pp. 169–176, Sep. 2004.
  • J. Jomier, S. Weeks, and S. R. Aylward, “Vascular image registration for intra-operative 3D ultrasound annotation,” International Congress Series, vol. 1268, pp. 1308–1308, 2004.
  • S. Aylward, J. Jomier, S. Weeks, and E. Bullitt, “Registration and analysis of vascular images,” INTERNATIONAL JOURNAL OF COMPUTER VISION, vol. 55, no. 2–3, pp. 123–138, Dec. 2003.
  • E. Bullitt, G. Gerig, S. Pizer, W. Lin, and S. Aylward, “Measuring tortuosity of the intracerebral vasculature from MRA images,” IEEE TRANSACTIONS ON MEDICAL IMAGING, vol. 22, no. 9, pp. 1163–1171, Sep. 2003.
  • D. Wallace, A. Capone, J. Jomier, S. Aylward, M. Landers, M. Trese, and P.-R. S. Grp, “Computer automated quantification of plus disease in RetCam images of retinopathy of prematurity,” INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, vol. 44, no. 1, p. U116, May 2003.
  • D. Wallace, J. Jomier, S. Aylward, and M. Landers, “Computer-automated quantification of plus disease in retinopathy of prematurity,” JOURNAL OF AAPOS, vol. 7, no. 2, pp. 126–130, Apr. 2003.
  • E. Bullitt and S. Aylward, “Patient-specific vascular models for endovascular and open operative procedures,” International Congress Series, vol. 1247, pp. 129–138, 2002.
  • S. R. Aylward and E. Bullitt, “Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction,” Medical Imaging, IEEE Transactions on, vol. 21, no. 2, pp. 61–75, 2002.
  • E. Bullitt, S. Aylward, K. Smith, S. Mukherji, M. Jiroutek, and K. Muller, “Symbolic description of intracerebral vessels segmented from magnetic resonance angiograms and evaluation by comparison with X-ray angiograms,” MEDICAL IMAGE ANALYSIS, vol. 5, no. 2, pp. 157–169, Jun. 2001.
  • E. Bullitt, S. Aylward, E. Bernard, and G. Gerig, “Computer-assisted visualization of arteriovenous malformations on the home personal computer,” NEUROSURGERY, vol. 48, no. 3, pp. 576–582, Mar. 2001.
  • E. Bullitt, A. Liu, S. Aylward, C. Coffey, J. Stone, S. Mukherji, K. Muller, and S. Pizer, “Registration of 3D cerebral vessels with 2D digital angiograms: Clinical evaluation,” ACADEMIC RADIOLOGY, vol. 6, no. 9, pp. 539–546, Sep. 1999.
  • S. Aylward, E. Bullitt, and P. Stephen, “VTree3D: Fast and effective vessel, bronchial tube, duct, and bone display,” RADIOLOGY, vol. 209P, no. S, p. 394, Nov. 1998.
  • E. Bullitt, A. Liu, S. Aylward, M. Soltys, J. Rosenman, and S. Pizer, “Methods for displaying intracerebral vascular anatomy,” AMERICAN JOURNAL OF NEURORADIOLOGY, vol. 18, no. 3, pp. 417–420, Mar. 1997.

IPMI and MICCAI Publications

  • J. Jomier, E. Bullitt, M. Van Horn, C. Pathak, and S. R. Aylward, “3D/2D model-to-image registration applied to TIPS surgery,” in MICCAI’06: Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention, Berlin, Heidelberg, 2006, pp. 662–669.
  • J. Jomier, V. LeDigarcher, and S. Aylward, “Automatic vascular tree formation using the mahalanobis distance,” in Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005, 2005, pp. 806–812.
  • J. Jomier, V. LeDigarcher, and S. Aylward, “Comparison of vessel segmentations using STAPLE,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2005, PT 1, 2005, vol. 3749, pp. 523–530.
  • S. Aylward, J. Jomier, C. Vivert, V. LeDigarcher, and E. Bullitt, “Spatial graphs for intra-cranial vascular network characterization, generation, and discrimination,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2005, PT 1, 2005, vol. 3749, pp. 59–66.
  • J. Jomier and S. Aylward, “Rigid and deformable vasculature-to-image registration: A hierarchical approach,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2004, PT 1, PROCEEDINGS, 2004, vol. 3216, pp. 829–836.
  • E. Bullitt, I. Jung, K. Muller, G. Gerig, S. Aylward, S. Joshi, K. Smith, W. Lin, and M. Ewend, “Determining malignancy of brain tumors by analysis of vessel shape,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2004, PT 2, PROCEEDINGS, 2004, vol. 3217, pp. 645–653.
  • J. Jomier, D. Wallace, and S. Aylward, “Quantification of retinopathy of prematurity via vessel segmentation,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 620–626.
  • B. Jolly, M. Van Horn, S. Aylward, and E. Bullitt, “Needle detection and tracking in the TIPS endovascular procedure,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 953–954.
  • Y. Fridman, S. Pizer, S. Aylward, and E. Bullitt, “Segmenting 3D branching tubular structures using cores,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 570–577.
  • D. Cool, D. Chillet, J. Kim, J. Guyon, M. Foskey, and S. Aylward, “Tissue-based affine registration of brain images to form a vascular density atlas,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 2, 2003, vol. 2879, pp. 9–15.
  • D. Chillet, J. Jomier, D. Cool, and S. Aylward, “Vascular atlas formation using a vessel-to-image affine registration method,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 1, 2003, vol. 2878, pp. 335–342.
  • E. Bullitt, G. Gerig, S. Aylward, S. Joshi, K. Smith, M. Ewend, and W. Lin, “Vascular attributes and malignant brain tumors,” in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2003, PT 1, 2003, vol. 2878, pp. 671–679.
  • S. Aylward, S. Weeks, and E. Bullitt, “Analysis of the Parameter Space of a Metric for Registering 3D Vascular Images,” in MICCAI ’01: Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, London, UK, UK, 2001, pp. 932–939.
  • E. Bullitt, S. Aylward, A. Liu, J. Stone, S. Mukherji, C. Coffey, G. Gerig, and S. Pizer, “3D graph description of the intracerebral vasculature from segmented MRA and tests of accuracy by comparison with X-ray angiograms,” in INFORMATION PROCESSING IN MEDICAL IMAGING, PROCEEDINGS, 1999, vol. 1613, pp. 308–321.
  • E. Bullitt, A. Liu, S. Aylward, and S. Pizer, “Reconstruction of the intracerebral vasculature from MRA and a pair of projection views,” in INFORMATION PROCESSING IN MEDICAL IMAGING, 1997, vol. 1230, pp. 537–542.