成像体模
欠采样
弹性成像
传感器
声学
磁共振弹性成像
横波
计算机科学
生物医学工程
物理
材料科学
超声波
人工智能
光学
剪切(地质)
工程类
复合材料
作者
Tajwar Abrar Aleef,Julio Lobo,Ali Baghani,Shahed K. Mohammed,Hani Eskandari,Hamid Moradi,Robert Rohling,S. Larry Goldenberg,William Morris,S. Sara Mahdavi,Septimiu E. Salcudean
出处
期刊:IEEE Transactions on Medical Imaging
[Institute of Electrical and Electronics Engineers]
日期:2023-06-23
卷期号:42 (11): 3436-3450
被引量:4
标识
DOI:10.1109/tmi.2023.3288468
摘要
This article describes a novel quasi-real time system for quantitative and volumetric measurement of tissue elasticity in the prostate.Tissue elasticity is computed by using a local frequency estimator to measure the three dimensional local wavelengths of a steady-state shear wave within the prostate gland.The shear wave is created using a mechanical voice coil shaker which transmits multi-frequency vibrations transperineally.Radio frequency data is streamed directly from a BK Medical 8848 trans-rectal ultrasound transducer to an external computer where tissue displacement due to the excitation is measured using a speckle tracking algorithm.Bandpass sampling is used that eliminates the need for an ultra fast frame rate to track the tissue motion and allows for accurate reconstruction at a sampling frequency that is below the Nyquist rate.A roll motor with computer control is used to rotate the sagittal array of the transducer and obtain the 3D data.Two CIRS phantoms were used to validate both the accuracy of the elasticity measurement as well as the functional feasibility of using the system for in vivo prostate imaging.The system has been used in two separate clinical studies as a method for cancer identification.The results, presented here, show numerical and visual correlations between our stiffness measurements and cancer likelihood as determined from pathology results.Initial published results using this system include an area under the receiver operating characteristic curve of 0.82±0.01 with regards to prostate cancer identification in the peripheral zone.
科研通智能强力驱动
Strongly Powered by AbleSci AI