Abstract
The recent introduction of variable-velocity control for Continuously Moving Table Magnetic Resonance Imaging has introduced the ability for interactive examination across extended fields of view. A common application of this method is contrast-enhanced angiography, where propagation of an intravenously injected contrast agent is tracked throughout the peripheral vascular tree. Whereas current methods for performing contrast bolus tracking are entirely manual, we discuss the complete automation of this process through the use of real-time image processing. Specifically, we provide a coupled intensity-correction procedure and modified Fast Marching method for rapid segmentation of contrast enhanced vasculature in CE-MRA and discuss the incorporation of this process into a framework for fully automated and adaptive control of table motion for real-time tracking of contrast bolus propagation through the lower peripheral vasculature.
| Original language | English (US) |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 824-831 |
| Number of pages | 8 |
| Volume | 4190 LNCS - I |
| State | Published - 2006 |
| Event | 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006 - Copenhagen, Denmark Duration: Oct 1 2006 → Oct 6 2006 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 4190 LNCS - I |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006 |
|---|---|
| Country | Denmark |
| City | Copenhagen |
| Period | 10/1/06 → 10/6/06 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Biochemistry, Genetics and Molecular Biology(all)
- Theoretical Computer Science
Cite this
Real-time tracking of contrast bolus propagation in Continuously Moving Table MR angiography. / Trazasko, Joshua D; Riederer, Stephen J; Manduca, Armando.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4190 LNCS - I 2006. p. 824-831 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4190 LNCS - I).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Real-time tracking of contrast bolus propagation in Continuously Moving Table MR angiography
AU - Trazasko, Joshua D
AU - Riederer, Stephen J
AU - Manduca, Armando
PY - 2006
Y1 - 2006
N2 - The recent introduction of variable-velocity control for Continuously Moving Table Magnetic Resonance Imaging has introduced the ability for interactive examination across extended fields of view. A common application of this method is contrast-enhanced angiography, where propagation of an intravenously injected contrast agent is tracked throughout the peripheral vascular tree. Whereas current methods for performing contrast bolus tracking are entirely manual, we discuss the complete automation of this process through the use of real-time image processing. Specifically, we provide a coupled intensity-correction procedure and modified Fast Marching method for rapid segmentation of contrast enhanced vasculature in CE-MRA and discuss the incorporation of this process into a framework for fully automated and adaptive control of table motion for real-time tracking of contrast bolus propagation through the lower peripheral vasculature.
AB - The recent introduction of variable-velocity control for Continuously Moving Table Magnetic Resonance Imaging has introduced the ability for interactive examination across extended fields of view. A common application of this method is contrast-enhanced angiography, where propagation of an intravenously injected contrast agent is tracked throughout the peripheral vascular tree. Whereas current methods for performing contrast bolus tracking are entirely manual, we discuss the complete automation of this process through the use of real-time image processing. Specifically, we provide a coupled intensity-correction procedure and modified Fast Marching method for rapid segmentation of contrast enhanced vasculature in CE-MRA and discuss the incorporation of this process into a framework for fully automated and adaptive control of table motion for real-time tracking of contrast bolus propagation through the lower peripheral vasculature.
UR - http://www.scopus.com/inward/record.url?scp=33750272025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33750272025&partnerID=8YFLogxK
M3 - Conference contribution
SN - 3540447075
SN - 9783540447078
VL - 4190 LNCS - I
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 824
EP - 831
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -