TubeTK/Data: Difference between revisions

From KitwarePublic
Jump to navigationJump to search
No edit summary
No edit summary
Line 35: Line 35:


| width="800px" align="left" |
| width="800px" align="left" |
<h1>Data</h1>
= Data =
* MIDAS: MRI/MRA Data from UNC
* MIDAS: MRI/MRA Data 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]


<h1>Patents</h1>
= Patents =
* 6,690,816 :  "Systems and methods for tubular object processing"  Stephen R. Aylward, Elizabeth Bullitt, Daniel Fritsch, Stephen M. Pizer,  February 2004
* 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.
** Patent is held by UNC.  A world-wide, unrestricted, free license has been granted.


<h1>Books</h1>
= 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  
* 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  


<h1>Journal Articles</h1>
= 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.  
* 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, 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.  
Line 69: Line 69:
* 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.  
* 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.  
* 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.  
G. PETERSON, D. STCLAIR, S. AYLWARD, and W. BOND, “USING TAGUCHI METHOD OF EXPERIMENTAL-DESIGN TO CONTROL ERRORS IN LAYERED PERCEPTRONS,” IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 6, no. 4, pp. 949–961, Jul. 1995.
 
= 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.  


|}
|}

Revision as of 15:01, 19 November 2012

__NOTITLE__


TubeTK Header.jpg


Home




For Users




For Developers




Report Bugs
Request Features



Contact Us

Data

  • MIDAS: MRI/MRA Data from UNC

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.