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Zhang J, Wu F, Meng F, Zhang G, Wang R, Yang Y, Cui J, He C, Jia L, Zhang W. A High-Resolution 3D Ultrasound Imaging System Oriented towards a Specific Application in Breast Cancer Detection Based on a 1 × 256 Ring Array. MICROMACHINES 2024; 15:209. [PMID: 38398937 PMCID: PMC10891686 DOI: 10.3390/mi15020209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/24/2024] [Accepted: 01/28/2024] [Indexed: 02/25/2024]
Abstract
This paper presents the design and development of a high-resolution 3D ultrasound imaging system based on a 1 × 256 piezoelectric ring array, achieving an accuracy of 0.1 mm in both ascending and descending modes. The system achieves an imaging spatial resolution of approximately 0.78 mm. A 256 × 32 cylindrical sensor array and a digital phantom of breast tissue were constructed using the k-Wave toolbox. The signal is acquired layer by layer using 3D acoustic time-domain simulation, resulting in the collection of data from each of the 32 layers. The 1 × 256 ring array moves on a vertical trajectory from the chest wall to the nipple at a constant speed. A data set was collected at intervals of 1.5 mm, resulting in a total of 32 data sets. Surface rendering and volume rendering algorithms were used to reconstruct 3D ultrasound images from the volume data obtained via simulation so that the smallest simulated reconstructed lesion had a diameter of 0.3 mm. The reconstructed three-dimensional image derived from the experimental data exhibits the contour of the breast model along with its internal mass. Reconstructable dimensions can be achieved up to approximately 0.78 mm. The feasibility of applying the system to 3D breast ultrasound imaging has been demonstrated, demonstrating its attributes of resolution, precision, and exceptional efficiency.
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Affiliation(s)
- Junhui Zhang
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Fei Wu
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Fansheng Meng
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Guojun Zhang
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Renxin Wang
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Yuhua Yang
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Jiangong Cui
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Changde He
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Licheng Jia
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Wendong Zhang
- State Key Laboratory of Instrumentation Science and Dynamic Measurement Technology, North University of China, Taiyuan 030051, China; (J.Z.); (F.W.); (F.M.); (G.Z.); (R.W.); (Y.Y.); (J.C.); (C.H.)
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
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Wu Y, Zhang W, Shao X, Yang Y, Zhang T, Lei M, Wang Z, Gao B, Hu S. Research on the Multi-Element Synthetic Aperture Focusing Technique in Breast Ultrasound Imaging, Based on the Ring Array. MICROMACHINES 2022; 13:1753. [PMID: 36296106 PMCID: PMC9609697 DOI: 10.3390/mi13101753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 10/10/2022] [Accepted: 10/13/2022] [Indexed: 06/16/2023]
Abstract
As a widely clinical detection method, ultrasonography (US) has been applied to the diagnosis of breast cancer. In this paper, the multi-element synthetic aperture focusing (M-SAF) is applied to the ring array of breast ultrasonography (US) imaging, which addresses the problem of low imaging quality due to the single active element for each emission and the reception in the synthetic aperture focusing. In order to determine the optimal sub-aperture size, the formula is derived for calculating the internal sound pressure of the ring array with a 200 mm diameter, and the sound pressure distribution is analyzed. The ring array with 1024 elements (1024 ring array) is established in COMSOL Multiphysics 5.6, and the optimal sub-aperture size is 16 elements, according to the sound field beam simulation and the directivity research. Based on the existing experimental conditions, the ring array with 256 elements (256 ring array) is simulated and verified by experiments. The simulation has a spatial resolution evaluation in the k-Wave toolbox, and the experiment uses nylon rope and breast model imaging. The results show that if the sub-aperture size has four elements, the imaging quality is the highest. Specifically, the spatial resolution is the best, and the sound pressure amplitude and signal-to-noise ratio (SNR) are maintained at a high level in the reconstructed image. The optimal sub-aperture theory is verified by the two kinds of ring arrays, which also provide a theoretical basis for the application of the multi-element synthetic aperture focusing technology (M-SAF) in ring arrays.
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Affiliation(s)
- Yang Wu
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Wendong Zhang
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Xingling Shao
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Yuhua Yang
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Tian Zhang
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Miao Lei
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Zhihao Wang
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Bizhen Gao
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
| | - Shumin Hu
- State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
- National Key Laboratory for Electronic Measurement Technology, School of Instrument and Electronics, North University of China, Taiyuan 030051, China
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Joseph Francis K, Boink YE, Dantuma M, Ajith Singh MK, Manohar S, Steenbergen W. Tomographic imaging with an ultrasound and LED-based photoacoustic system. BIOMEDICAL OPTICS EXPRESS 2020; 11:2152-2165. [PMID: 32341873 PMCID: PMC7173893 DOI: 10.1364/boe.384548] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 01/15/2020] [Accepted: 01/22/2020] [Indexed: 05/05/2023]
Abstract
Pulsed lasers in photoacoustic tomography systems are expensive, which limit their use to a few clinics and small animal labs. We present a method to realize tomographic ultrasound and photoacoustic imaging using a commercial LED-based photoacoustic and ultrasound system. We present two illumination configurations using LED array units and an optimal number of angular views for tomographic reconstruction. The proposed method can be a cost-effective solution for applications demanding tomographic imaging and can be easily integrated into conventional linear array-based ultrasound systems. We present a potential application for finger joint imaging in vivo, which can be used for point-of-care rheumatoid arthritis diagnosis and monitoring.
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Affiliation(s)
- Kalloor Joseph Francis
- Biomedical Photonic Imaging Group, Technical Medical Center, University of Twente, The Netherlands
- Multi-Modality Medical Imaging Group, Technical Medical Center, University of Twente, The Netherlands
| | - Yoeri E. Boink
- Multi-Modality Medical Imaging Group, Technical Medical Center, University of Twente, The Netherlands
- Department of Applied Mathematics, University of Twente, The Netherlands
| | - Maura Dantuma
- Biomedical Photonic Imaging Group, Technical Medical Center, University of Twente, The Netherlands
- Multi-Modality Medical Imaging Group, Technical Medical Center, University of Twente, The Netherlands
| | - Mithun Kuniyil Ajith Singh
- Research and Business Development Division, CYBERDYNE INC, Cambridge Innovation Center, Rotterdam, The Netherlands
| | - Srirang Manohar
- Multi-Modality Medical Imaging Group, Technical Medical Center, University of Twente, The Netherlands
| | - Wiendelt Steenbergen
- Biomedical Photonic Imaging Group, Technical Medical Center, University of Twente, The Netherlands
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Chang CY, Srinivasan K, Chen MC, Chen SJ. SVM-Enabled Intelligent Genetic Algorithmic Model for Realizing Efficient Universal Feature Selection in Breast Cyst Image Acquired via Ultrasound Sensing Systems. SENSORS 2020; 20:s20020432. [PMID: 31940932 PMCID: PMC7013744 DOI: 10.3390/s20020432] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 01/08/2020] [Accepted: 01/10/2020] [Indexed: 12/30/2022]
Abstract
In recent years, there are several cost-effective intelligent sensing systems such as ultrasound imaging systems for visualizing the internal body structures of the body. Further, such intelligent sensing systems such as ultrasound systems have been deployed by medical doctors around the globe for efficient detection of several diseases and disorders in the human body. Even though the ultrasound sensing system is a useful tool for obtaining the imagery of various body parts, there is always a possibility of inconsistencies in these images due to the variation in the settings of the system parameters. Therefore, in order to overcome such issues, this research devises an SVM-enabled intelligent genetic algorithmic model for choosing the universal features with four distinct settings of the parameters. Subsequently, the distinguishing characteristics of these features are assessed utilizing the Sorensen-Dice coefficient, t-test, and Pearson’s R measure. It is apparent from the results of the SVM-enabled intelligent genetic algorithmic model that this approach aids in the effectual selection of universal features for the breast cyst images. In addition, this approach also accomplishes superior accuracy in the classification of the ultrasound image for four distinct settings of the parameters.
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Affiliation(s)
- Chuan-Yu Chang
- Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan;
- Correspondence:
| | - Kathiravan Srinivasan
- School of Information Technology and Engineering, Vellore Institute of Technology (VIT), Vellore 632014, India;
| | - Mao-Cheng Chen
- Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Yunlin 64002, Taiwan;
| | - Shao-Jer Chen
- Department of Medical Imaging, Buddhist Dalin Tzu Chi General Hospital, Chiayi 622, Taiwan;
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