Toward point-of-care breast cancer diagnosis: validation of a spatially tracked automated 3D ultrasound system

Park, Claire K.; Papernick, Sam; Orlando, Nathan; Jonnalagadda, Melanie; Bax, Jeffrey; Gardi, Lori; Barker, Kevin; Tessier, David; Fenster, Aaron

doi:10.1117/12.2607552

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…The system is comprised of a customdesigned 3D-printed wearable base that conforms to patient anatomy, an adjustable compression assembly to stabilize the breast, and a mechanically-driven scanning mechanism. [14] While the system can be adapted to any commercial ultrasound system, for testing purposes, a Canon Aplio i700 US system (Canon Medical Systems, Tochigi, Japan) and a high-resolution 14L5 (10 MHz) linear transducer were used. A workstation capable of real-time image acquisition, 3D US reconstruction, multiplanar visualization, and complementary (CBUS) acquisition approach to improve resolution was also developed.…”

Section: System Description and Software Componentsmentioning

confidence: 99%

Realization of automated whole breast 3D doppler ultrasound for characterization of breast lesions

Aziz,

Abdul Rahman,

Park

et al. 2024

Medical Imaging 2024: Ultrasonic Imaging and Tomography

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Breast cancer is the most common cancer in women worldwide. Two million women are diagnosed annually, resulting in 685,000 annual deaths. Early diagnosis is critical to reducing mortality. Although screening with mammography has been shown to have reduced breast cancer-related mortality through early detection, dense breast tissues reduce mammographic sensitivity, potentially delaying diagnoses, and contributing to poorer outcomes. Therefore, there is a need for more accessible and cost-effective supplemental screening technologies, especially for high-risk populations, especially women with dense breasts. To address these challenges, a promising approach involves combining widely available, cost-effective, and accessible ultrasound-based technologies with economical hardware, software modules, and automated techniques. Among these technologies, Doppler imaging plays a crucial role in the clinical evaluation of breast abnormalities, as intratumoural blood flow has been shown to correlate with the aggressiveness and histological grade of the tumour. The development of a novel automated, portable, and a patient-dedicated 3D automated breast ultrasound (ABUS) system for point-of-care breast cancer supplemental screening holds significant promise. The proposed system has previously demonstrated the capability to generate accurate whole-breast B-mode images, which can aid in the early detection of breast cancer in women with dense breasts. Additionally, it offers the advantage of incorporating Doppler imaging for the assessment of blood flow within suspicious lesions, a capability not commonly available with commercial ABUS systems. By leveraging Doppler imaging in conjunction with 3D Bmode ABUS, this innovative approach could improve breast cancer-related health outcomes and equity in access to healthcare, especially for underserved and vulnerable populations.

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Section: System Description and Software Componentsmentioning

confidence: 99%

Realization of automated whole breast 3D doppler ultrasound for characterization of breast lesions

Aziz,

Abdul Rahman,

Park

et al. 2024

Medical Imaging 2024: Ultrasonic Imaging and Tomography

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show abstract

“…[7] The ability to affix the 3D ABUS scanner directly to the patient mitigates limitations associated with recoding the position of a 3DUS image due to motion and tissue deformations using a previously developed spatially tracked automated 3D US system. [8] Importantly, the 3D ABUS device is more cost-effective, as it is adaptable to any conventional US system and transducer already available in most clinical settings, and is fabricated with economical materials. Image acquisition involves continually acquiring encoded 2DUS images at a fixed spatial interval and reconstructing them in real-time into a 3DUS image.…”

Section: Introductionmentioning

confidence: 99%

Improving three-dimensional automated breast ultrasound resolution with orthogonal images

Park

Trumpour

Gyacskov

et al. 2023

Medical Imaging 2023: Ultrasonic Imaging and Tomography

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With increasing evidence for supplemental ultrasound (US) for breast cancer screening in women with dense breasts, there is an interest in developing more robust and cost-effective techniques. Compared with handheld US, automated breast ultrasound (ABUS) shows improvements in detection, reproducibility, and operator dependence. However, limitations exist as high-quality image acquisition is still reliant on operator training and patient positioning. Moreover, installation of current commercial systems is expensive, and they lack point-of-care capabilities, limiting their bedside utility. We developed a dedicated three-dimensional (3D) ABUS device that contains a wearable patient-conforming 3D-printed dam, compression assembly, and motorized 3DUS scanner. Acquisition involves acquiring 2DUS images at a fixed spatial interval and reconstructing them into a 3DUS image. While the 3DUS image has a high in-plane resolution, its out-ofplane (elevational) US resolution in the reconstruction plane is poor. We hypothesize that combining orthogonal images can improve 3DUS image resolution by recovering some out-of-plane resolution. With orthogonal 3DUS images occupying the same volume, the intensity at any 3D voxel coordinate can be computed from a spherical-weighted function of the voxel intensities from the two original 3DUS images. In this paper, we describe the dedicated 3D ABUS device, its orthogonal acquisition, and the combination approach for creating a 3D complementary breast ultrasound (CBUS) image. We perform experiments to evaluate their impact on 3D image resolution. The proposed CBUS method was evaluated with orthogonally acquired craniocaudal and mediolateral 3DUS images of an angular wire phantom, then calculating the full width at half maximum (FWHM) of the line spread function for each wire. Our results show that 3D CBUS images with orthogonal 3DUS images improves resolution uniformity by recovering some out-of-plane resolution.

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Toward point-of-care breast cancer diagnosis: validation of a spatially tracked automated 3D ultrasound system

Cited by 2 publications

References 6 publications

Realization of automated whole breast 3D doppler ultrasound for characterization of breast lesions

Realization of automated whole breast 3D doppler ultrasound for characterization of breast lesions

Improving three-dimensional automated breast ultrasound resolution with orthogonal images

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