Abstract
In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle detection and tracking in highly noisy ultrasound images via level set and PDE (partial differential equation) based methods. Major advantages of the method are: (1) efficiency, the entire numerical procedure can be finished in real-time: (2) robustness, insensitive to noise in the ultrasound images and: (3) flexibility, the motion of the needle can be arbitrary. Our method will enhance the ability of medical care-providers to track and localize needles in relation to objects of interest during image-guided interventions.
| 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 | 914-923 |
| Number of pages | 10 |
| Volume | 5875 LNCS |
| Edition | PART 1 |
| DOIs | |
| State | Published - 2009 |
| Externally published | Yes |
| Event | 5th International Symposium on Advances in Visual Computing, ISVC 2009 - Las Vegas, NV, United States Duration: Nov 30 2009 → Dec 2 2009 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 1 |
| Volume | 5875 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 5th International Symposium on Advances in Visual Computing, ISVC 2009 |
|---|---|
| Country | United States |
| City | Las Vegas, NV |
| Period | 11/30/09 → 12/2/09 |
Fingerprint
ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
A novel method for enhanced needle localization using ultrasound-guidance. / Dong, Bin; Savitsky, Eric; Osher, Stanley.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5875 LNCS PART 1. ed. 2009. p. 914-923 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5875 LNCS, No. PART 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A novel method for enhanced needle localization using ultrasound-guidance
AU - Dong, Bin
AU - Savitsky, Eric
AU - Osher, Stanley
PY - 2009
Y1 - 2009
N2 - In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle detection and tracking in highly noisy ultrasound images via level set and PDE (partial differential equation) based methods. Major advantages of the method are: (1) efficiency, the entire numerical procedure can be finished in real-time: (2) robustness, insensitive to noise in the ultrasound images and: (3) flexibility, the motion of the needle can be arbitrary. Our method will enhance the ability of medical care-providers to track and localize needles in relation to objects of interest during image-guided interventions.
AB - In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle detection and tracking in highly noisy ultrasound images via level set and PDE (partial differential equation) based methods. Major advantages of the method are: (1) efficiency, the entire numerical procedure can be finished in real-time: (2) robustness, insensitive to noise in the ultrasound images and: (3) flexibility, the motion of the needle can be arbitrary. Our method will enhance the ability of medical care-providers to track and localize needles in relation to objects of interest during image-guided interventions.
UR - http://www.scopus.com/inward/record.url?scp=72449168978&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72449168978&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10331-5_85
DO - 10.1007/978-3-642-10331-5_85
M3 - Conference contribution
AN - SCOPUS:72449168978
SN - 3642103308
SN - 9783642103308
VL - 5875 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 914
EP - 923
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -