Liver disease diagnosis and treatment represents a significant cost to the United States health care system. Chronic liver disease and cirrhosis affects over 2,600,000 people in the United States, leading to over 700,000 hospitalizations annually. Chronic liver diseases progress over several decades at an estimated annual cost of $1.3 billion. Definitive diagnosis of liver disease is performed by liver biopsy;however, this invasive procedure has associated risks and is not well tolerated by patients. As a result, frequent staging of disease progression is not possible, and non-specific blood tests are often used as surrogates for biopsy to determine hepatic fibrosis stage. A separate challenge for liver disease diagnosis involves characterization of focal lesions. Focal liver lesions are detected during ultrasound imaging studies both incidentally and in patients who have an underlying malignancy. Distinguishing benign from malignant lesions with ultrasound is challenging, and many patients with lesions discovered during sonograms are referred for contrast enhanced CT or MRI for further characterization. These additional imaging studies are expensive and require additional patient visits, and they increase patient anxiety. The long term goal of this research i to develop an ultrasonic, quantitative acoustic radiation force impulse (ARFI) based elastography imaging system capable of noninvasive staging of liver fibrosis and differentiation between benign and malignant liver lesions. We propose the development of novel algorithms and beam sequences using both simulation and experimental tools to achieve the required spatial resolution, accuracy, and precision. There are three specific aims: 1) To develop and implement novel stiffness reconstruction methods combining qualitative and quantitative ARFI technologies to provide structurally accurate quantitative stiffness estimates and images of hepatic tumors. 2) To develop and implement 3D shear wave speed monitoring beam sequences and algorithms using a 2D matrix array to improve the accuracy and precision of shear wave speed estimates, and 3) To evaluate this next-generation system in the context of hepatic fibrosis staging and hepatic tumor characterization.
Diagnosing liver disease and monitoring its progression is expensive, and currently requires liver biopsy and often multiple contrast CT and MR imaging studies. We propose to develop and implement a low- cost ultrasonic elasticity imaging system that we hypothesize will be capable of non-invasively differentiating benign from malignant lesions in the liver, in addition to noninvasively determining liver fibrosis stage.
| Lipman, Samantha L; Rouze, Ned C; Palmeri, Mark L et al. (2018) Impact of Acoustic Radiation Force Excitation Geometry on Shear Wave Dispersion and Attenuation Estimates. Ultrasound Med Biol 44:897-908 |
| Deng, Yufeng; Palmeri, Mark L; Rouze, Ned C et al. (2018) Evaluating the Benefit of Elevated Acoustic Output in Harmonic Motion Estimation in Ultrasonic Shear Wave Elasticity Imaging. Ultrasound Med Biol 44:303-310 |
| Rouze, Ned C; Deng, Yufeng; Trutna, Courtney A et al. (2018) Characterization of Viscoelastic Materials Using Group Shear Wave Speeds. IEEE Trans Ultrason Ferroelectr Freq Control 65:780-794 |
| Deng, Yufeng; Rouze, Ned C; Palmeri, Mark L et al. (2017) Ultrasonic Shear Wave Elasticity Imaging Sequencing and Data Processing Using a Verasonics Research Scanner. IEEE Trans Ultrason Ferroelectr Freq Control 64:164-176 |
| Rouze, Ned C; Deng, Yufeng; Palmeri, Mark L et al. (2017) Accounting for the Spatial Observation Window in the 2-D Fourier Transform Analysis of Shear Wave Attenuation. Ultrasound Med Biol 43:2500-2506 |
| Lipman, Samantha L; Rouze, Ned C; Palmeri, Mark L et al. (2016) Evaluating the Improvement in Shear Wave Speed Image Quality Using Multidimensional Directional Filters in the Presence of Reflection Artifacts. IEEE Trans Ultrason Ferroelectr Freq Control 63:1049-1063 |
| Deng, Yufeng; Rouze, Ned C; Palmeri, Mark L et al. (2016) On System-Dependent Sources of Uncertainty and Bias in Ultrasonic Quantitative Shear-Wave Imaging. IEEE Trans Ultrason Ferroelectr Freq Control 63:381-93 |
| Rosenzweig, Stephen; Palmeri, Mark; Nightingale, Kathryn (2015) Analysis of rapid multi-focal-zone ARFI imaging. IEEE Trans Ultrason Ferroelectr Freq Control 62:280-9 |
| Lee, Seung Yun; Cardones, Adela R; Doherty, Joshua et al. (2015) Preliminary Results on the Feasibility of Using ARFI/SWEI to Assess Cutaneous Sclerotic Diseases. Ultrasound Med Biol 41:2806-19 |
| Urbanczyk, Caryn A; Palmeri, Mark L; Bass, Cameron R (2015) Material characterization of in vivo and in vitro porcine brain using shear wave elasticity. Ultrasound Med Biol 41:713-23 |
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