A CMUT-based finger-mounted 3D ultrasound probe

2014 ◽  
Author(s):  
Albert I.H Chen ◽  
Lawrence L.P. Wong ◽  
John T.W. Yeow
Keyword(s):  
3D Ultrasound ◽  
Ultrasound Probe

A mechanical instrument for 3D ultrasound probe calibration

2005 ◽  
Vol 31 (4) ◽  
pp. 505-518 ◽  
Author(s):  
Andrew H. Gee ◽  
Neil E. Houghton ◽  
Graham M. Treece ◽  
Richard W. Prager
Keyword(s):  
3D Ultrasound ◽  
Ultrasound Probe ◽  
Probe Calibration

scholarly journals PO-1117 Comparison of 2D- and 3D-ultrasound probe imaging of uterus: a volunteer study

2015 ◽  
Vol 115 ◽  
pp. S605-S606
Author(s):  
S.K. Pedersen ◽  
S. Pazhang ◽  
L. Gullander ◽  
T. Zarp ◽  
S. Jacobsson ◽  
...  
Keyword(s):  
3D Ultrasound ◽  
Ultrasound Probe ◽  
Volunteer Study ◽  
2D And 3D

scholarly journals Good and bad boundaries in ultrasound compounding: preserving anatomic boundaries while suppressing artifacts

2021 ◽  
Author(s):  
Alex Ling Yu Hung ◽  
John Galeotti
Keyword(s):  
Best Practices ◽  
3D Ultrasound ◽  
The Other ◽  
Ultrasound Images ◽  
Ultrasound Probe ◽  
Single Image ◽  
Volume Reconstruction ◽  
View Reconstruction ◽  
Ultrasound Compounding ◽  
Future Utility

Abstract Purpose Ultrasound compounding is to combine sonographic information captured from different angles and produce a single image. It is important for multi-view reconstruction, but as of yet there is no consensus on best practices for compounding. Current popular methods inevitably suppress or altogether leave out bright or dark regions that are useful and potentially introduce new artifacts. In this work, we establish a new algorithm to compound the overlapping pixels from different viewpoints in ultrasound. Methods Inspired by image fusion algorithms and ultrasound confidence, we uniquely leverage Laplacian and Gaussian pyramids to preserve the maximum boundary contrast without overemphasizing noise, speckles, and other artifacts in the compounded image, while taking the direction of the ultrasound probe into account. Besides, we designed an algorithm that detects the useful boundaries in ultrasound images to further improve the boundary contrast. Results We evaluate our algorithm by comparing it with previous algorithms both qualitatively and quantitatively, and we show that our approach not only preserves both light and dark details, but also somewhat suppresses noise and artifacts, rather than amplifying them. We also show that our algorithm can improve the performance of downstream tasks like segmentation. Conclusion Our proposed method that is based on confidence, contrast, and both Gaussian and Laplacian pyramids appears to be better at preserving contrast at anatomic boundaries while suppressing artifacts than any of the other approaches we tested. This algorithm may have future utility with downstream tasks such as 3D ultrasound volume reconstruction and segmentation.

Integration of a 3D ultrasound probe into neuronavigation

2011 ◽  
Vol 153 (7) ◽  
pp. 1529-1533 ◽  
Author(s):  
Andrea Müns ◽  
Jürgen Meixensberger ◽  
Sven Arnold ◽  
Arno Schmitgen ◽  
Felix Arlt ◽  
...  
Keyword(s):  
3D Ultrasound ◽  
Ultrasound Probe

scholarly journals A Standard Mammography Unit – Standard 3D Ultrasound Probe Fusion Prototype: First Results

2017 ◽  
Vol 77 (06) ◽  
pp. 679-685 ◽  
Author(s):  
Rüdiger Schulz-Wendtland ◽  
Sebastian Jud ◽  
Peter Fasching ◽  
Arndt Hartmann ◽  
Marcus Radicke ◽  
...  
Keyword(s):  
Imaging Modality ◽  
3D Ultrasound ◽  
Ultrasound Images ◽  
Digital Mammogram ◽  
Ultrasound Probe ◽  
Breast Compression ◽  
Compression Plate ◽  
First Results ◽  
Conventional Mammography ◽  
Breast Diagnostics

Abstract Aim The combination of different imaging modalities through the use of fusion devices promises significant diagnostic improvement for breast pathology. The aim of this study was to evaluate image quality and clinical feasibility of a prototype fusion device (fusion prototype) constructed from a standard tomosynthesis mammography unit and a standard 3D ultrasound probe using a new method of breast compression. Materials and Methods Imaging was performed on 5 mastectomy specimens from patients with confirmed DCIS or invasive carcinoma (BI-RADS™ 6). For the preclinical fusion prototype an ABVS system ultrasound probe from an Acuson S2000 was integrated into a MAMMOMAT Inspiration (both Siemens Healthcare Ltd) and, with the aid of a newly developed compression plate, digital mammogram and automated 3D ultrasound images were obtained. Results The quality of digital mammogram images produced by the fusion prototype was comparable to those produced using conventional compression. The newly developed compression plate did not influence the applied x-ray dose. The method was not more labour intensive or time-consuming than conventional mammography. From the technical perspective, fusion of the two modalities was achievable. Conclusion In this study, using only a few mastectomy specimens, the fusion of an automated 3D ultrasound machine with a standard mammography unit delivered images of comparable quality to conventional mammography. The device allows simultaneous ultrasound – the second important imaging modality in complementary breast diagnostics – without increasing examination time or requiring additional staff.

scholarly journals Versatile Low-Cost Volumetric 3D Ultrasound Imaging Using Gimbal-Assisted Distance Sensors and an Inertial Measurement Unit

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6613
Author(s):  
Taehyung Kim ◽  
Dong-Hyun Kang ◽  
Shinyong Shim ◽  
Maesoon Im ◽  
Bo Kyoung Seo ◽  
...  
Keyword(s):  
Inertial Measurement Unit ◽  
Low Cost ◽  
Ultrasound Image ◽  
3D Ultrasound ◽  
Measurement Unit ◽  
Ultrasound Images ◽  
Ultrasound Probe ◽  
Inertial Measurement ◽  
Position Data ◽  
2D Ultrasound

This study aims at creating low-cost, three-dimensional (3D), freehand ultrasound image reconstructions from commercial two-dimensional (2D) probes. The low-cost system that can be attached to a commercial 2D ultrasound probe consists of commercial ultrasonic distance sensors, a gimbal, and an inertial measurement unit (IMU). To calibrate irregular movements of the probe during scanning, relative position data were collected from the ultrasonic sensors that were attached to a gimbal. The directional information was provided from the IMU. All the data and 2D ultrasound images were combined using a personal computer to reconstruct 3D ultrasound image. The relative position error of the proposed system was less than 0.5%. The overall shape of the cystic mass in the breast phantom was similar to those from 2D and sections of 3D ultrasound images. Additionally, the pressure and deformations of lesions could be obtained and compensated by contacting the probe to the surface of the soft tissue using the acquired position data. The proposed method did not require any initial marks or receivers for the reconstruction of a 3D ultrasound image using a 2D ultrasound probe. Even though our system is less than $500, a valuable volumetric ultrasound image could be provided to the users.

scholarly journals Probe Sector Matching for Freehand 3D Ultrasound Reconstruction

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3146
Author(s):  
Xin Chen ◽  
Houjin Chen ◽  
Yahui Peng ◽  
Dan Tao
Keyword(s):  
Ultrasound Image ◽  
Target Position ◽  
Target Surface ◽  
3D Ultrasound ◽  
Reconstruction Technique ◽  
Ultrasound Probe ◽  
Multiple Sensors ◽  
3D Hough Transform ◽  
3D Volume ◽  
Array Ultrasound

A 3D ultrasound image reconstruction technique, named probe sector matching (PSM), is proposed in this paper for a freehand linear array ultrasound probe equipped with multiple sensors, providing the position and attitude of the transducer and the pressure between the transducer and the target surface. The proposed PSM method includes three main steps. First, the imaging target and the working range of the probe are set to be the center and the radius of the imaging field of view, respectively. To reconstruct a 3D volume, the positions of all necessary probe sectors are pre-calculated inversely to form a sector database. Second, 2D cross-section probe sectors with the corresponding optical positioning, attitude and pressure information are collected when the ultrasound probe is moving around the imaging target. Last, an improved 3D Hough transform is used to match the plane of the current probe sector to the existing sector images in the sector database. After all pre-calculated probe sectors are acquired and matched into the 3D space defined by the sector database, a 3D ultrasound reconstruction is completed. The PSM is validated through two experiments: a virtual simulation using a numerical model and a lab experiment using a real physical model. The experimental results show that the PSM effectively reduces the errors caused by changes in the target position due to the uneven surface pressure or the inhomogeneity of the transmission media. We conclude that the PSM proposed in this study may help to design a lightweight, inexpensive and flexible ultrasound device with accurate 3D imaging capacity.

Sign in / Sign up

Export Citation Format

Share Document