4.6 Article

Spatially tracked whole-breast three-dimensional ultrasound system toward point-of-care breast cancer screening in high-risk women with dense breasts

Journal

MEDICAL PHYSICS
Volume 49, Issue 6, Pages 3944-3962

Publisher

WILEY
DOI: 10.1002/mp.15632

Keywords

automated breast ultrasound; breast cancer; image fusion; image registration; screening; system development; three-dimensional ultrasound; tracking and calibration; ultrasound

Funding

  1. Ontario Institute for Cancer Research (OICR)
  2. Canadian Institutes of Health Research (CIHR)
  3. Natural Sciences and Engineering Research Council of Canada (NSERC)

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This study developed a new, versatile, and cost-effective spatially tracked three-dimensional ultrasound (3DUS) system for whole-breast imaging. The results showed that the system can achieve accurate bedside ultrasound imaging with good detection of details and anatomical structures.
Background: Mammographic screening has reduced mortality in women through the early detection of breast cancer. However, the sensitivity for breast cancer detection is significantly reduced in women with dense breasts, in addition to being an independent risk factor. Ultrasound (US) has been proven effective in detecting small, early-stage, and invasive cancers in women with dense breasts. Purpose: To develop an alternative, versatile, and cost-effective spatially tracked three-dimensional (3D) US system for whole-breast imaging. This paper describes the design, development, and validation of the spatially tracked 3DUS system, including its components for spatial tracking, multi-image registration and fusion, feasibility for whole-breast 3DUS imaging and multi-planar visualization in tissue-mimicking phantoms, and a proof-of-concept healthy volunteer study. Methods: The spatially tracked 3DUS system contains (a) a six-axis manipulator and counterbalanced stabilizer, (b) an in-house quick-release 3DUS scanner, adaptable to any commercially available US system, and removable, allowing for handheld 3DUS acquisition and two-dimensional US imaging, and (c) custom software for 3D tracking, 3DUS reconstruction, visualization, and spatial-based multi-image registration and fusion of 3DUS images for whole-breast imaging. Spatial tracking of the 3D position and orientation of the system and its joints (J(1-6)) were evaluated in a clinically accessible workspace for bedside pointof-care (POC) imaging. Multi-image registration and fusion of acquired 3DUS images were assessed with a quadrants-based protocol in tissue-mimicking phantoms and the target registration error (TRE) was quantified. Whole-breast 3DUS imaging and multi-planar visualization were evaluated with a tissuemimicking breast phantom. Feasibility for spatially tracked whole-breast 3DUS imaging was assessed in a proof-of-concept healthy male and female volunteer study. Results: Mean tracking errors were 0.87 +/- 0.52, 0.70 +/- 0.46, 0.53 +/- 0.48, 0.34 +/- 0.32, 0.43 +/- 0.28, and 0.78 +/- 0.54 mm for joints J(1-6), respectively. Lookup table (LUT) corrections minimized the error in joints J(1) , J(2), and J(5). Compound motions exercising all joints simultaneously resulted in a mean tracking error of 1.08 +/- 0.88 mm (N = 20) within the overall workspace for bedside 3DUS imaging. Multi-image registration and fusion of two acquired 3DUS images resulted in a mean TRE of 1.28 +/- 0.10 mm. Whole-breast 3DUS imaging and multi-planar visualization in axial, sagittal, and coronal views were demonstrated with the tissue-mimicking breast phantom. The feasibility of the whole-breast 3DUS approach was demonstrated in healthy male and female volunteers. In the male volunteer, the high-resolution whole-breast 3DUS acquisition protocol was optimized without the added complexities of curvature and tissue deformations. With small post-acquisition corrections for motion, whole-breast 3DUS imaging was performed on the healthy female volunteer showing relevant anatomical structures and details. Conclusions: Our spatially tracked 3DUS system shows potential utility as an alternative, accurate, and feasible whole-breast approach with the capability for bedside POC imaging. Future work is focused on reducing misregistration errors due to motion and tissue deformations, to develop a robust spatially tracked whole-breast 3DUS acquisition protocol, then exploring its clinical utility for screening high-risk women with dense breasts.

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