Automatic image registration for MR and ultrasound cardiac images
Publication
, Conference
Gallippi, CM; Trahey, GE
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2001
The Statistics Based Image Registration (SBR) method for automatic image registration is presented with application to magnetic resonance (MR)and ultrasound (US) cardiac time series images. SBR is demonstrated for MR myocardial perfusion assessment and US myocardial kinetics studies. The utility of the method for a range of other clinical applications is discussed. © Springer-Verlag Berlin Heidelberg 2001.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
Publication Date
January 1, 2001
Volume
2082
Start / End Page
148 / 154
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
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ICMJE
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Gallippi, C. M., & Trahey, G. E. (2001). Automatic image registration for MR and ultrasound cardiac images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2082, pp. 148–154). https://doi.org/10.1007/3-540-45729-1_13
Gallippi, C. M., and G. E. Trahey. “Automatic image registration for MR and ultrasound cardiac images.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2082:148–54, 2001. https://doi.org/10.1007/3-540-45729-1_13.
Gallippi CM, Trahey GE. Automatic image registration for MR and ultrasound cardiac images. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2001. p. 148–54.
Gallippi, C. M., and G. E. Trahey. “Automatic image registration for MR and ultrasound cardiac images.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2082, 2001, pp. 148–54. Scopus, doi:10.1007/3-540-45729-1_13.
Gallippi CM, Trahey GE. Automatic image registration for MR and ultrasound cardiac images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2001. p. 148–154.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
Publication Date
January 1, 2001
Volume
2082
Start / End Page
148 / 154
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences