Cosmas Mwikirize1, John L Nosher2, Ilker Hacihaliloglu3,2. 1. Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, 08854, USA. cosmas.mwikirize@rutgers.edu. 2. Department of Radiology, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, 08901, USA. 3. Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, 08854, USA.
Abstract
PURPOSE: We propose a novel framework for enhancement and localization of steeply inserted hand-held needles under in-plane 2D ultrasound guidance. METHODS: Depth-dependent attenuation and non-axial specular reflection hinder visibility of steeply inserted needles. Here, we model signal transmission maps representative of the attenuation probability within the image domain. The maps are employed in a contextual regularization framework to recover needle shaft and tip information. The needle tip is automatically localized by line-fitting along the local-phase-directed trajectory, followed by statistical optimization. RESULTS: The proposed method was tested on 300 ex vivo ultrasound scans collected during insertion of an epidural needle into freshly excised porcine and bovine tissue. A tip localization accuracy of [Formula: see text] was achieved. CONCLUSION: The proposed method could be useful in challenging procedures where needle shaft and tip are inconspicuous. Improved needle localization results compared to previously proposed methods suggest that the proposed method is promising for further clinical evaluation.
PURPOSE: We propose a novel framework for enhancement and localization of steeply inserted hand-held needles under in-plane 2D ultrasound guidance. METHODS: Depth-dependent attenuation and non-axial specular reflection hinder visibility of steeply inserted needles. Here, we model signal transmission maps representative of the attenuation probability within the image domain. The maps are employed in a contextual regularization framework to recover needle shaft and tip information. The needle tip is automatically localized by line-fitting along the local-phase-directed trajectory, followed by statistical optimization. RESULTS: The proposed method was tested on 300 ex vivo ultrasound scans collected during insertion of an epidural needle into freshly excised porcine and bovine tissue. A tip localization accuracy of [Formula: see text] was achieved. CONCLUSION: The proposed method could be useful in challenging procedures where needle shaft and tip are inconspicuous. Improved needle localization results compared to previously proposed methods suggest that the proposed method is promising for further clinical evaluation.
Entities:
Keywords:
Anesthesia; Attenuation map; Needle enhancement; Tip localization; Ultrasound
Authors: Philipp J Stolka; Pezhman Foroughi; Matthew Rendina; Clifford R Weiss; Gregory D Hager; Emad M Boctor Journal: Med Image Comput Comput Assist Interv Date: 2014
Authors: Arash Pourtaherian; Farhad Ghazvinian Zanjani; Svitlana Zinger; Nenad Mihajlovic; Gary C Ng; Hendrikus H M Korsten; Peter H N de With Journal: Int J Comput Assist Radiol Surg Date: 2018-05-31 Impact factor: 2.924