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Landmark-based 3D fusion of SPECT and CT images
IBM Thomas J. Watson Research Center and Columbia University.
Columbia University, Department of Computer Science.ORCID iD: 0000-0002-6066-746X
New York University.
1993 (English)In: Sensor fusion VI: 7-8 September 1993, Boston, Massachusetts / [ed] Paul S. Schenker, SPIE - International Society for Optical Engineering, 1993, Vol. 2059, 166-174 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present interactive visualization procedures for registration of SPECT and CT images based on landmarks. Because of the poor anatomic detail available in many SPECT images, registration of SPECT images with other modalities often requires the use of external markers. These markers may correspond to anatomic structures identifiable in the other modality image. In this work, we present a method to nonrigidly register SPECT and CT images based on automatic marker localization and interactive anatomic localization using 3D surface renderings of skin. The images are registered in 3D by fitting low order polynomials which are constrained to be near rigid. The method developed here exploits 3D information to attain greater accuracy and reduces the amount of time needed for expert interaction.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 1993. Vol. 2059, 166-174 p.
National Category
Radiology, Nuclear Medicine and Medical Imaging
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-50250DOI: 10.1117/12.150244ISBN: 0-8194-1324-0 (print)OAI: oai:DiVA.org:kth-50250DiVA: diva2:461405
Conference
SPIE Sensor Fusion VI Conference. Boston, Massachusetts. 7-8 September 1993
Note
QC 20111207Available from: 2011-12-03 Created: 2011-12-03 Last updated: 2013-09-09Bibliographically approved

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Publisher's full texthttp://link.aip.org/link/?PSI/2059/166/1&Agg=doi

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Maguire Jr., Gerald Q.

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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  • asciidoc
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