Projection-Based Phase Features for Localization of a Needle Tip in 2D Curvilinear Ultrasound

Autor:	Robert Rohling, Parmida Beigi, Purang Abolmaesumi, Septimiu E. Salcudean, Gary Ng, Ilker Hacihaliloglu
Rok vydání:	2015
Předmět:	Curvilinear coordinates Percutaneous business.industry Computer science Iterative method Ultrasound Feature extraction Point cloud Phase (waves) Ultrasound imaging Trajectory Computer vision Artificial intelligence business Projection (set theory)
Zdroj:	Lecture Notes in Computer Science ISBN: 9783319245522 MICCAI (1)
DOI:	10.1007/978-3-319-24553-9_43
Popis:	Localization of a needle's tip in ultrasound images is often a challenge during percutaneous procedures due to the inherent limitations of ultrasound imaging. A new method is proposed for tip localization with curvilinear arrays using local image statistics over a region extended from the partially visible needle shaft. First, local phase-based image projections are extracted using orientation-tuned Log-Gabor filters to coarsely estimate the needle trajectory. The trajectory estimation is then improved using a best fit iterative method. To account for the typically discontinuous needle shaft appearance, a geometric optimization is then performed that connects the extracted inliers of the point cloud. In the final stage, the enhanced needle trajectory points are passed to a feature extraction method that uses a combination of spatially distributed image statistics to enhance the needle tip. The needle tip is localized using the enhanced images and calculated trajectory. Validation results obtained from 150 ex vivo ultrasound scans show an accuracy of 0.43 ±0.31 mm for needle tip localization.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0369e418ca4fbe214dd8c4aff9de8118 https://doi.org/10.1007/978-3-319-24553-9_43 Zobrazit plný text záznamu