Dynamic mechanical response of elastic spherical inclusions to impulsive acoustic radiation force excitation

Acoustic radiation force impulse imaging has been used clinically to study the dynamic response of lesions relative to their background material to focused, impulsive acoustic radiation force excitations through the generation of dynamic displacement field images. Dynamic displacement data are typically displayed as a set of parametric images, including displacement immediately after excitation, maximum displacement, time to peak displacement, and recovery time from peak displacement. To date, however, no definitive trends have been established between these parametric images and the tissues' mechanical properties. This work demonstrates that displacement magnitude, time to peak displacement, and recovery time are all inversely related to the Young's modulus in homogeneous elastic media. Experimentally, pulse repetition frequency during displacement tracking limits stiffness resolution using the time to peak displacement parameter. The excitation pulse duration also impacts the time to peak parameter, with longer pulses reducing the inertial effects present during impulsive excitations. Material density affects tissue dynamics, but is not expected to play a significant role in biological tissues. The presence of an elastic spherical inclusion in the imaged medium significantly alters the tissue dynamics in response to impulsive, focused acoustic radiation force excitations. Times to peak displacement for excitations within and outside an elastic inclusion are still indicative of local material stiffness; however, recovery times are altered due to the reflection and transmission of shear waves at the inclusion boundaries. These shear wave interactions cause stiffer inclusions to appear to be displaced longer than the more compliant background material. The magnitude of shear waves reflected at elastic lesion boundaries is dependent on the stiffness contrast between the inclusion and the background material, and the stiffness and size of the inclusion dictate when shear wave reflections within the lesion will interfere with one another. Jitter and bias associated with the ultrasonic displacement tracking also impact the estimation of a tissue's dynamic response to acoustic radiation force excitation.     

Adaptive imaging on a diagnostic ultrasound scanner at quasi real-time rates

Constructing an ultrasonic imaging system capable of compensating for phase errors in real-time is a significant challenge in adaptive imaging. We present a versatile adaptive imaging system capable of updating arrival time profiles at frame rates of approximately 2 frames per second (fps) with 1-D arrays and up to 0.81 fps for 1.75-D arrays, depending on the desired near-field phase correction algorithm. A novel feature included in this system is the ability to update the aberration profile at multiple beam locations for 1-D arrays. The features of this real-time adaptive imaging system are illustrated in tissue-mimicking phantoms with physical near-field phase screens and evaluated in clinical breast tissue with a 1.75-D array. The contrast-to-noise ratio (CNR) of anechoic cysts was shown to improve dramatically in the tissue-mimicking phantoms. In breast tissue, the width of point-like targets showed significant improvement: a reduction of 26.2% on average. Brightness of these targets, however, marginally decreased by 3.9%. For larger structures such as cysts, little improvement in features and CNR were observed, which is likely a result of the system assuming an infinite isoplanatic patch size for the 1.75-D arrays. The necessary requirements for constructing a real-time adaptive imaging system are also discussed.     

Extending the continuous tuning range of an external-cavity diode laser

The continuous tuning range of an external-cavity diode laser can be extended by making small corrections to the external-cavity length through an electronic feedback loop so that the cavity resonance condition is maintained as the laser wavelength is tuned. By maintaining the cavity resonance condition as the laser is tuned, the mode hops that typically limit the continuous tuning range of the external-cavity diode laser are eliminated. We present the design of a simple external-cavity diode laser based on the Littman-Metcalf external-cavity configuration that has a measured continuous tuning range of 1 GHz without an electronic feedback loop. To include the electronic feedback loop, a small sinusoidal signal is added to the drive current of the laser diode creating a small oscillation of the laser power. By comparing the phase of the modulated optical power with the phase of the sinusoidal drive signal using a lock-in amplifier, an error signal is created and used in an electronic feedback loop to control the external-cavity length. With electronic feedback, we find that the continuous tuning range can be extended to over 65 GHz. This occurs because the electronic feedback maintains the cavity resonance condition as the laser is tuned. An experimental demonstration of this extended tuning range is presented in which the external-cavity diode laser is tuned through an absorption feature of diatomic oxygen near 760 nm.     

Using component metadata to regression test component‐based software

Increasingly, modern‐day software systems are being built by combining externally‐developed software components with application‐specific code. For such systems, existing program‐analysis‐based software engineering techniques may not directly apply, due to lack of information about components. To address this problem, the use of component metadata has been proposed. Component metadata are metadata and metamethods provided with components, that retrieve or calculate information about those components. In particular, two component‐metadata‐based approaches for regression test selection are described: one using code‐based component metadata and the other using specification‐based component metadata. The results of empirical studies that illustrate the potential of these techniques to provide savings in re‐testing effort are provided. Copyright © 2006 John Wiley & Sons, Ltd.     

On facts and conceptual systems: Young children's integration of their understandings of germs and contagion.

Five studies argue against claims that preschoolers understand a biological germ theory of illness. In Studies 1–3, participants were read stories in which characters develop symptoms (e.g., a bellyache) caused by germs, poisons, or events (e.g., eating too much candy) and were asked whether another character could catch the symptoms from the first. Few children made judgments in terms of germs as part of an underlying causal process linking the origin of a symptom to its subsequent transmission. Some children may have reasoned simply that certain kinds of symptoms are likely to be contagious. Studies 4 and 5 undermined the claim that preschoolers understand germs to be uniquely biological causal agents. Young children did not attribute properties to germs as they did for animate beings or for plants. It is suggested that children undergo conceptual reorganization in constructing a Western adult understanding of germs. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Understanding the effects of changes on the cost‐effectiveness of regression testing techniques

Regression testing is an expensive testing process used to validate modified software. Regression test selection and test‐case prioritization can reduce the costs of regression testing by selecting a subset of test cases for execution, or scheduling test cases to meet testing objectives better. The cost‐effectiveness of these techniques can vary widely, however, and one cause of this variance is the type and magnitude of changes made in producing a new software version. Engineers unaware of the causes and effects of this variance can make poor choices in designing change integration processes, selecting inappropriate regression testing techniques, designing excessively expensive regression test suites and making unnecessarily costly changes. Engineers aware of causal factors can perform regression testing more cost‐effectively. This article reports the results of an embedded multiple case study investigating the modifications made in the evolution of four software systems and their impact on regression testing techniques. The results of this study expose tradeoffs and constraints that affect the success of techniques and provide guidelines for designing and managing regression testing processes. Copyright © 2003 John Wiley & Sons, Ltd.     

Can fault‐exposure‐potential estimates improve the fault detection abilities of test suites?

Code‐coverage‐based test data adequacy criteria typically treat all coverable code elements (such as statements, basic blocks or outcomes of decisions) as equal. In practice, however, the probability that a test case can expose a fault in a code element varies: some faults are more easily revealed than others. Thus, several researchers have suggested that if one could estimate the probability that a fault in a code element will cause a failure, one could use this estimate to determine the number of executions of a code element that are required to achieve a certain level of confidence in that element's correctness. This estimate, in turn, could be used to improve the fault‐detection effectiveness of test suites and help testers distribute testing resources more effectively. This conjecture is intriguing; however, like many such conjectures it has never been directly examined empirically. If empirical evidence were to support this conjecture, it would motivate further research into methodologies for obtaining fault‐exposure‐potential estimates and incorporating them into test data adequacy criteria. This paper reports the results of experiments conducted to investigate the effects of incorporating an estimate of fault‐exposure probability into the statement coverage test data adequacy criterion. The results of these experiments, however, ran contrary to the conjectures of previous researchers. Although incorporation of the estimates did produce statistically significant increases in the fault‐detection effectiveness of test suites, these increases were quite small, suggesting that the approach might not be able to produce the gains hoped for and might not be worth the cost of its employment. Copyright © 2002 John Wiley & Sons, Ltd.     

An empirical investigation of the relationship between spectra differences and regression faults

Many software maintenance and testing tasks involve comparing the behaviours of program versions. Program spectra have recently been proposed as a heuristic for use in performing such comparisons. To assess the potential usefulness of spectra in this context an experiment was conducted, examining the relationship between differences in program spectra and the exposure of regression faults (faults existing in a modified version of a program that were not present prior to modifications, or not revealed in previous testing), and empirically comparing several types of spectra. The results reveal that certain types of spectra differences correlate with high frequency—at least in one direction—with the exposure of regression faults. That is, when regression faults are revealed by particular inputs, spectra differences are likely also to be revealed by those inputs, though the reverse is not true. The results also suggest that several types of spectra that appear, analytically, to offer greater precision in predicting the presence of regression faults than other, cheaper, spectra may provide no greater precision in practice. These results have ramifications for future research on, and for the practical uses of, program spectra. Copyright © 2000 John Wiley & Sons, Ltd.     

Empirical studies of test‐suite reduction

Test‐suite reduction techniques attempt to reduce the costs of saving and reusing test cases during software maintenance by eliminating redundant test cases from test suites. A potential drawback of these techniques is that reducing the size of a test suite might reduce its ability to reveal faults in the software. Previous studies have suggested that test‐suite reduction techniques can reduce test‐suite size without significantly reducing the fault‐detection capabilities of test suites. These studies, however, involved particular programs and types of test suites, and to begin to generalize their results, further work is needed. This paper reports on the design and execution of additional studies, examining the costs and benefits of test‐suite reduction, and the factors that influence these costs and benefits. In contrast to previous studies, results of these studies reveal that the fault‐detection capabilities of test suites can be severely compromised by test‐suite reduction. Copyright © 2002 John Wiley & Sons, Ltd.