Tissue strain imaging using a wavelet transform-based peak search algorithm

Eskandari, Hani; Salcudean, Septimiu E.; Rohlirig, R.

doi:10.1109/tuffc.2007.366

Cited by 16 publications

(9 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This deteriorating performance is at least partly owing to 'peak hopping': by applying a dynamic programming procedure to find the most likely sequence of the consequentially hidden states in the sequence of measurements with strains of up to 6 per cent, significant improvement was demonstrated [114]. For larger strains of up to 10 per cent, it was shown that a wavelet-based peak search algorithm can provide acceptable results [115].…”

Section: Review Medical Ultrasonic Elastography P N T Wells and Hmentioning

confidence: 99%

Medical ultrasound: imaging of soft tissue strain and elasticity

Wells

Liang

2011

J. R. Soc. Interface.

439

322

View full text Add to dashboard Cite

After X-radiography, ultrasound is now the most common of all the medical imaging technologies. For millennia, manual palpation has been used to assist in diagnosis, but it is subjective and restricted to larger and more superficial structures. Following an introduction to the subject of elasticity, the elasticity of biological soft tissues is discussed and published data are presented. The basic physical principles of pulse-echo and Doppler ultrasonic techniques are explained. The history of ultrasonic imaging of soft tissue strain and elasticity is summarized, together with a brief critique of previously published reviews. The relevant techniques—low-frequency vibration, step, freehand and physiological displacement, and radiation force (displacement, impulse, shear wave and acoustic emission)—are described. Tissue-mimicking materials are indispensible for the assessment of these techniques and their characteristics are reported. Emerging clinical applications in breast disease, cardiology, dermatology, gastroenterology, gynaecology, minimally invasive surgery, musculoskeletal studies, radiotherapy, tissue engineering, urology and vascular disease are critically discussed. It is concluded that ultrasonic imaging of soft tissue strain and elasticity is now sufficiently well developed to have clinical utility. The potential for further research is examined and it is anticipated that the technology will become a powerful mainstream investigative tool.

show abstract

Section: Review Medical Ultrasonic Elastography P N T Wells and Hmentioning

confidence: 99%

Medical ultrasound: imaging of soft tissue strain and elasticity

Wells

Liang

2011

J. R. Soc. Interface.

439

322

View full text Add to dashboard Cite

show abstract

“…38 A routine in MATLAB Version 7.10 (R2010a), was developed to create ts for the each pixel within an IR imaging data set consisting of 4096 spectra individually. Peaks were detected using the algorithm described elsewhere 41 and height and width of the peaks in the raw spectra at detected positions were used as initial guesses for the iterative loop. Application of non-linear curve-tting to large two-dimensional experimental infrared spectroscopic arrays 39 and a combination of non-linear curve-tting and self-modelling curve resolution (SMCR) 42 have been demonstrated.…”

Section: Data Pre-processingmentioning

confidence: 99%

The application of non-linear curve fitting routines to the analysis of mid-infrared images obtained from single polymeric microparticles

Keles

Naylor

Clegg

et al. 2014

Analyst

View full text Add to dashboard Cite

For the first time, we report a series of time resolved images of a single PLGA microparticle undergoing hydrolysis at 70 °C that have been obtained using attenuated total reflectance-Fourier transform infrared spectroscopic (ATR-FTIR) imaging. A novel partially supervised non-linear curve fitting (NLCF) tool was developed to identify and fit peaks to the infrared spectrum obtained from each pixel within the 64 × 64 array. The output from the NLCF was evaluated by comparison with a traditional peak height (PH) data analysis approach and multivariate curve resolution alternating least squares (MCR-ALS) analysis for the same images, in order to understand the limitations and advantages of the NLCF methodology. The NLCF method was shown to facilitate consistent spatial resolution enhancement as defined using the step-edge approach on dry microparticle images when compared to images derived from both PH measurements and MCR-ALS. The NLCF method was shown to improve both the S/N and sharpness of images obtained during an evolving experiment, providing a better insight into the magnitude of hydration layers and particle dimension changes during hydrolysis. The NLCF approach facilitated the calculation of hydrolysis rate constants for both the glycolic (kG) and lactic (kL) acid segments of the PLGA copolymer. This represents a real advantage over MCR-ALS which could not distinguish between the two segments due to colinearity within the data. The NLCF approach made it possible to calculate the hydrolysis rate constants from a single pixel, unlike the peak height data analysis approach which suffered from poor S/N at each pixel. These findings show the potential value of applying NLCF to the study of real-time chemical processes at the micron scale, assisting in the understanding of the mechanisms of chemical processes that occur within microparticles and enhancing the value of the mid-IR ATR analysis.

show abstract

“…As there are signal noises and calculation error in the estimated displacement or strain, and several references reported numerical optimization algorithms on displacement or strain between pre‐ and post‐compression signals . However, the displacements or strains were improved in the reported numerical optimization algorithms respectively.…”

Section: Strain Optimization Based On Bfgs Algorithmmentioning

confidence: 99%

“…Next, several stretching approaches have been proposed to increase the correlation between pre‐ and post‐compression signals, such as stretching multi‐compression averaging , temporal stretching , and adaptive stretching . Because there has been significant noise in the obtained displacement data and strain image, numerous optimization techniques of elasticity imaging have been presented . Rivaz applied the Kalman filtering to the noise strain image in the lateral direction after calculating strain using least‐squares regression.…”

Section: Introductionmentioning

confidence: 99%

An efficient optimal method for a 2D strain estimation of ultrasound tissue‐mimicking material phantom

Zhu

Zhou

et al. 2015

Polymer Engineering & Sci

View full text Add to dashboard Cite

Elastography is a relatively new technique in ultrasound or magnetic resonance imaging (MRI). This fact has motivated many investigators to investigate the preparation of tissue‐mimicking material and the imaging of the tissue‐mimicking phantom. In this article, an efficient numerical optimization method based on Quasi‐Newton algorithm is presented for calculating a 2D strain image of tissue‐mimicking material (TMM) sample. The first step in the proposed method is that the initial values for the displacement fields are estimated using the cross‐correlation method. Then, the numerical optimization method based on the Quasi‐Newton algorithm is adopted to improve the displacement and strain through selecting one moving subfield. The basic idea of the proposed method is to construct an object function based on a homogeneous affine transformation between pre‐ and post‐compression data and optimize the displacement and strain image for the initial displacement data. For a validation, the results of the proposed method compare with those of other numerical optimization methods. The simulated and experimental results demonstrate the potential of our two‐step strategy for the strain imaging of tissue‐mimicking phantom with high efficiency and accuracy. POLYM. ENG. SCI., 55:2751–2760, 2015. © 2015 Society of Plastics Engineers

show abstract

Tissue strain imaging using a wavelet transform-based peak search algorithm

Cited by 16 publications

References 26 publications

Medical ultrasound: imaging of soft tissue strain and elasticity

Medical ultrasound: imaging of soft tissue strain and elasticity

The application of non-linear curve fitting routines to the analysis of mid-infrared images obtained from single polymeric microparticles

An efficient optimal method for a 2D strain estimation of ultrasound tissue‐mimicking material phantom

Contact Info

Product

Resources

About