An algorithm for automatic needle localization in ultrasound‐guided breast biopsies

Draper, Katharine J.; Blake, C.; Gowman, Linda M.; Downey, Dónal B.; Fenster, Aaron

doi:10.1118/1.1287437

Cited by 62 publications

(46 citation statements)

References 7 publications

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“…The position of an axis of an object such as an electrode can be determined in a 2-D image using the principal component analysis (PCA) [11]. Initially, a variance image is computed as the intensity variance in a small neighborhood of each pixel of the original image.…”

Section: Previous Workmentioning

confidence: 99%

Parallel integral projection transform for straight electrode localization in 3-D ultrasound images

Barva

Uhercik

Mari

et al. 2008

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Abstract-In surgical practice, small metallic instruments are frequently used to perform various tasks inside the human body. We address the problem of their accurate localization in the tissue. Recent experiments using medical ultrasound have shown that this modality is suitable for real-time visualization of anatomical structures as well as the position of surgical instruments. We propose an imageprocessing algorithm that permits automatic estimation of the position of a line-segment-shaped object. This method was applied to the localization of a thin metallic electrode in biological tissue. We show that the electrode axis can be found through maximizing the Parallel Integral Projection transform that is a form of the Radon transform. To accelerate this step, hierarchical mesh-grid algorithm is implemented. Once the axis position is known, localization of the electrode tip is performed. The method was tested on simulated images, on ultrasound images of a tissue mimicking phantom containing a metallic electrode, and on real ultrasound images from breast biopsy. The results indicate that the algorithm is robust with respect to variations in electrode position and speckle noise. Localization accuracy is of the order of hundreds of micrometers and is comparable to the ultrasound system axial resolution.

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Section: Previous Workmentioning

confidence: 99%

Parallel integral projection transform for straight electrode localization in 3-D ultrasound images

Barva

Uhercik

Mari

et al. 2008

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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“…The position of an electrode axis can be determined in a 2D image using Principal Component Analysis [2] on a thresholded variance image. Ding [3] proposes to find the lines in 2D projections of a volume by a parallel projection.…”

Section: Previous Workmentioning

confidence: 99%

Multi-resolution parallel integral projection for fast localization of a straight electrode in 3D ultrasound images

Uhercik

Kybic

Liebgott

et al. 2008

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

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We address the problem of fast and accurate localization of miniature surgical instruments like needles or electrodes using 3D ultrasound (US). An algorithm based on maximizing a Parallel Integral Transform (PIP) can automatically localize line-shaped objects in 3D US images with accuracy on the order of hundreds of micrometers. Here we propose to use a multi-resolution to accelerate the algorithm significantly. We use a maximum function for downsampling to preserve the high intensity voxels of a thin electrode. We integrate the multi-resolution pyramid into a hierarchical mesh-grid search of PIP. The experiments with a tissue mimicking phantom and breast biopsy data show that proposed method works well on real US images. The speed-up is threefold compared to original PIP method with the same accuracy 0.4 mm. A further speed-up up to 16 times is reached by an early stopping of the optimization, at the expense of some loss of accuracy.

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“…Instrument-localization techniques in US images can be divided into image-based detection algorithms [3] and external tracking devices. Examples of external tracking are robotassisted navigation, optical needle localization, and electromagnetic tracking systems [4].…”

Section: Introductionmentioning

confidence: 99%

Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes

Pourtaherian

Scholten

Kusters

et al. 2017

IEEE Trans. Med. Imaging

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Abstract-Ultrasound-guided medical interventions are broadly applied in diagnostics and therapy, e.g. regional anesthesia or ablation. A guided intervention using 2D ultrasound is challenging due to the poor instrument visibility, limited field of view and the multi-fold coordination of the medical instrument and ultrasound plane. Recent 3D ultrasound transducers can improve the quality of the image-guided intervention if an automated detection of the needle is used. In this paper, we present a novel method for detecting medical instruments in 3D ultrasound data that is solely based on image processing techniques and validated on various ex-vivo and in-vivo datasets. In the proposed procedure, the physician is placing the 3D transducer at the desired position and the image processing will automatically detect the best instrument view, so that the physician can entirely focus on the intervention. Our method is based on classification of instrument voxels using volumetric structure directions and robust approximation of the primary tool axis. A novel normalization method is proposed for the shape and intensity consistency of instruments to improve the detection. Moreover, a novel 3D Gabor wavelet transformation is introduced and optimally designed for revealing the instrument voxels in the volume, while remaining generic to several medical instruments and transducer types. Experiments on diverse datasets including in-vivo data from patients show that for a given transducer and instrument type, high detection accuracies are achieved with position errors smaller than the instrument diameter in the 0.5 to 1.5 millimeter range on average.

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An algorithm for automatic needle localization in ultrasound‐guided breast biopsies

Cited by 62 publications

References 7 publications

Parallel integral projection transform for straight electrode localization in 3-D ultrasound images

Parallel integral projection transform for straight electrode localization in 3-D ultrasound images

Multi-resolution parallel integral projection for fast localization of a straight electrode in 3D ultrasound images

Medical Instrument Detection in 3-Dimensional Ultrasound Data Volumes

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