Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP 2014), 27-30 October 2014, Paris, France |
| Place of Publication | Piscataway |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 3602-3606 |
| DOIs | |
| Publication status | Published - 2014 |
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Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes. / Pourtaherian, A.; Zinger, S.; With, de, P.H.N.; Korsten, H.H.M.; Mihajlovic, N.
Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP 2014), 27-30 October 2014, Paris, France. Piscataway : Institute of Electrical and Electronics Engineers, 2014. p. 3602-3606.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Gabor-based needle detection and tracking in three-dimensional ultrasound data volumes
AU - Pourtaherian, A.
AU - Zinger, S.
AU - With, de, P.H.N.
AU - Korsten, H.H.M.
AU - Mihajlovic, N.
PY - 2014
Y1 - 2014
N2 - Abstract- During needle interventions for e.g. regional anaesthesia or biopsy, it is very important to visualize the needle and its tip with respect to important structures in the body. In this work, we propose a novel image-based needle detection technique in a 3D ultrasound volume dataset, which can improve the intervention. We present a novel application of the 3D Gabor transformation, which exploits needle-like structures with appropriate designs. Furthermore, we introduce a needle tracking algorithm based on Gradient Descent and show that it limits the computational complexity and detection error. Finally, we visualize the needle on 2D cross-sections of the volume in order to be presented to the physician. Evaluation of our system in challenging cases shows a high detection score (up to 100% but needs larger sets) and accurate visualization.
AB - Abstract- During needle interventions for e.g. regional anaesthesia or biopsy, it is very important to visualize the needle and its tip with respect to important structures in the body. In this work, we propose a novel image-based needle detection technique in a 3D ultrasound volume dataset, which can improve the intervention. We present a novel application of the 3D Gabor transformation, which exploits needle-like structures with appropriate designs. Furthermore, we introduce a needle tracking algorithm based on Gradient Descent and show that it limits the computational complexity and detection error. Finally, we visualize the needle on 2D cross-sections of the volume in order to be presented to the physician. Evaluation of our system in challenging cases shows a high detection score (up to 100% but needs larger sets) and accurate visualization.
U2 - 10.1109/ICIP.2014.7025731
DO - 10.1109/ICIP.2014.7025731
M3 - Conference contribution
SP - 3602
EP - 3606
BT - Proceedings of the IEEE International Conference on Image Processing 2014 (ICIP 2014), 27-30 October 2014, Paris, France
PB - Institute of Electrical and Electronics Engineers
CY - Piscataway
ER -