2016
DOI: 10.1109/jbhi.2015.2477829
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Three-Dimensional Needle Shape Estimation in TRUS-Guided Prostate Brachytherapy Using 2-D Ultrasound Images

Abstract: Abstract-In this paper we propose an automated method to reconstruct the 3D needle shape during needle insertion procedures using only 2D transverse ultrasound (US) images. Using a set of transverse US images, image processing and random sample consensus (RANSAC) is used to locate the needle within each image and estimate the needle shape. The method is validated with an in-vitro needle insertion setup and a transparent tissue phantom, where two orthogonal cameras are used to capture the true 3D needle shape f… Show more

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Cited by 21 publications
(5 citation statements)
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“…Waine et al [15] visualized the 3D shape of the needles from 2D US images. First, they transversely scanned the medium along the needle path and obtained the possible 3D needle pixels' positions by localizing the needle pixels in each scan.…”
Section: Related Studies In the Literaturementioning
confidence: 99%
“…Waine et al [15] visualized the 3D shape of the needles from 2D US images. First, they transversely scanned the medium along the needle path and obtained the possible 3D needle pixels' positions by localizing the needle pixels in each scan.…”
Section: Related Studies In the Literaturementioning
confidence: 99%
“…In this paper, a modified needle detection algorithm has been proposed and evaluated, which estimates the entire needle shape utilizing image preprocessing and an improved random sample consensus (RANSAC) algorithm. RANSAC has been successfully used in surgical tool localization from 3D US images 19 and multiple transverse US images, 20 but so far has not been applied to CT transverse data. In this algorithm, the iteration process has been accelerated through pretesting technology to improve the overall needle segmentation efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Applications for 3D US needle-like segmentation have been focused on procedures in prostate, [24][25][26][27][28] breast, [29][30][31] heart, 32,33 and anesthetic administration, 34 but these approaches do not readily translate to liver interventions. This is primarily due to deep insertions into the liver that require needle applicators up to 30 cm in length and large angles relative to the transducer face resulting in poor specular reflections back to the transducer.…”
Section: Introductionmentioning
confidence: 99%