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Bubble-echo based deconvolution of contrast-enhanced ultrasound imaging: Simulation and experimental validations

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单位: [1]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’an 710049, China [2]Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Quebec H2X 0A9, Canada [3]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’an 710049, China [4]No. 38 Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China [5]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’an 710049, China [6]Department of Oncology, Beijing Friendship Hospital, Capital Medical University, Beijing 1000050, China [7]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’an 710049, China
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关键词: contrast-enhanced ultrasound imaging contrast-to-tissue ratio deconvolution resolution

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PurposeImprovement of both the imaging resolution and the contrast-to-tissue ratio (CTR) is a current emphasis of contrast-enhanced ultrasound (CEUS) for microvascular perfusion imaging. Based on the strong nonlinear characteristics of contrast agents, the CTRs have been significantly enhanced using various advanced CEUS methods. However, the imaging resolution of these methods is limited by the finite bandwidth of the imaging process. This study aimed to propose a bubble-echo based deconvolution (BED) method for CEUS with both improved resolution and CTR. MethodThe method is built on a modified convolution model and uses novel bubble-echo based point-spread-functions to reconstruct the images by regularized inverse Wiener filtering. Performances of the proposed BED for three CEUS modes are investigated through simulations and in vivo perfusion experiments. ResultsBED of fundamental imaging was found to have the highest improvement in imaging resolution with the resolution gain up to 2.0 0.2 times, which was comparable to the approved cepstrum-based deconvolution (CED). BED of second-harmonic imaging had the best performance in CTR with an enhancement of 9.8 +/- 2.3 dB, which was much higher than CED. Pulse inversion BED had both a better resolution and a higher CTR. ConclusionAll results indicate that BED could obtain CEUS image with both an improved resolution and a high CTR, which has important significance to microvascular perfusion evaluation in deep tissue.

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出版当年[2017]版:
大类 | 3 区 医学
小类 | 3 区 核医学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 核医学
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出版当年[2016]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2024]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

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第一作者单位: [1]Department of Biomedical Engineering, School of Life Science and Technology, Xi’ an Jiaotong University, Xi’an 710049, China [2]Laboratory of Biorheology and Medical Ultrasonics, University of Montreal Hospital Research Center, Montreal, Quebec H2X 0A9, Canada
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