Ultrasound Computed Tomography Reflection Imaging with Coherence-Factor Beamforming for Breast Tumor Early Detection

Breast cancer is a global health concern, emphasizing the need for early detection. However, current mammography struggles to effectively image dense breasts. Breast ultrasound can be an adjunctive method, but it is highly dependent on operator skill. Ultrasound computed tomography (USCT) reflection...

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Bibliographic Details
Published in:Mathematics (Basel) 2024-04, Vol.12 (7), p.1106
Main Authors: Hou, Zuoxun, Yuan, Ruichen, Wang, Zihao, Wei, Xiaorui, Ren, Chujian, Zhou, Jiale, Qu, Xiaolei
Format: Article
Language:English
Subjects:
Algorithms
Beamforming
Breast cancer
breast ultrasound imaging
Cancer
Coherence
coherence factor
Computed tomography
CT imaging
Diagnosis
Error correction & detection
Image enhancement
Image quality
Image resolution
Mammography
Medical imaging
Medical screening
Methods
Numerical analysis
Propagation
Prototypes
Public health
reflection imaging
Simulation methods
Tomography
Ultrasonic imaging
ultrasound computed tomography
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Summary:Breast cancer is a global health concern, emphasizing the need for early detection. However, current mammography struggles to effectively image dense breasts. Breast ultrasound can be an adjunctive method, but it is highly dependent on operator skill. Ultrasound computed tomography (USCT) reflection imaging provides high-quality 3D images, but often uses delay-and-sum (DAS) beamforming, which limits its image quality. This article proposes the integration of coherence-factor (CF) beamforming into ultrasound computed tomography (USCT) reflection imaging to enhance image quality. CF assesses the focus quality of beamforming by analyzing the signal coherence across different channels, assigning higher weights to high-quality focus points and thereby improving overall image quality. Numerical simulations and phantom experiments using our built USCT prototype were conducted to optimize the imaging parameters and assess and compare the image quality of CF and DAS beamforming. Numerical simulations demonstrated that CF beamforming can significantly enhance image quality. Phantom experiments with our prototype revealed that CF beamforming significantly improves image resolution (from 0.35 mm to 0.14 mm) and increases contrast ratio (from 24.54 dB to 63.28 dB). The integration of CF beamforming into USCT reflection imaging represents a substantial improvement in image quality, offering promise for enhanced breast cancer detection and imaging capabilities.
ISSN:2227-7390
2227-7390
DOI:10.3390/math12071106