Simultaneous use of Individual and Joint Regularization Terms in Compressive Sensing: Joint Reconstruction of Multi-Channel Multi-Contrast MRI Acquisitions

Purpose: A time-efficient strategy to acquire high-quality multi-contrast images is to reconstruct undersampled data with joint regularization terms that leverage common information across contrasts. However, these terms can cause leakage of uncommon features among contrasts, compromising diagnostic utility. The goal of this study is to develop a compressive sensing method for multi-channel multi-contrast magnetic resonance imaging (MRI) that optimally utilizes shared information while preventing feature leakage. Theory: Joint regularization terms group sparsity and colour total variation are used to exploit common features across images while individual sparsity and total variation are also used to prevent leakage of distinct features across contrasts. The multi-channel multi-contrast reconstruction problem is solved via a fast algorithm based on Alternating Direction Method of Multipliers. Methods: The proposed method is compared against using only individual and only joint regularization terms in reconstruction. Comparisons were performed on single-channel simulated and multi-channel in-vivo datasets in terms of reconstruction quality and neuroradiologist reader scores. Results: The proposed method demonstrates rapid convergence and improved image quality for both simulated and in-vivo datasets. Furthermore, while reconstructions that solely use joint regularization terms are prone to leakage-of-features, the proposed method reliably avoids leakage via simultaneous use of joint and individual terms. Conclusion: The proposed compressive sensing method performs fast reconstruction of multi-channel multi-contrast MRI data with improved image quality. It offers reliability against feature leakage in joint reconstructions, thereby holding great promise for clinical use.Comment: 13 pages, 13 figures. Submitted for possible publicatio

The Birth of a New Industry: Entry by Start-ups and the Drivers of Firm Growth. The Case of Encryption Software

The paper analyses the birth of the Encryption Software Industry (ESI), a new niche in the software industry. Using a Chandlerian perspective, this work reports the main facts about firm entry and growth, with a particular focus on start-up strategies and actions. Since scale economies do not play a major role in ESI, the paper investigates the different sources of firm competitive advantages. This work shows that innovation and product differentiation, along with investments in co-specialised assets, are variables strongly correlated to young firm probability to survive and grow. In so doing, we have collected highly detailed information on product introduction, US patents granted, worldwide alliances and biographical data of firm founders.Entry, Entrepreneurship, Innovation, Software.

R&D Investment Level and Environment as Predictors of Firm Acquisition

R&D investments contribute to the development of firm technology resources, and the possession of such resources often increases a firm’s attractiveness as a potential acquisition target. However, the value ascribed to a firm’s technology resources by would-be acquirers may be moderated by its industry’s environmental characteristics. Using data from 2886 firms, we find that investments in R&D predict acquisition likelihood and that R&D investments are most strongly associated with acquisition of firms under conditions of high environmental munificence and dynamism. Theoretical and managerial implications are discussed

A Database for Estimating Organ Dose for Chest and Head CT Scans for Arbitrary Spectra and Angular Tube Current Modulation

Purpose: The purpose of this study was to develop a database for estimating organ dose in a voxelized patient model for coronary angiography and brain perfusion CT acquisitions with any spectra and angular tube current modulation setting. The database enables organ dose estimation for existing and novel acquisition techniques without requiring Monte Carlo simulations. Methods: The study simulated transport of monoenergetic photons between 5 and 150 keV for 1000 projections over 360◦ through anthropomorphic voxelized female chest and head (0◦ and 30◦ tilt) phantoms and standard head and body CTDI dosimetry cylinders. The simulations resulted in tables of normalized dose deposition for several radiosensitive organs quantifying the organ dose per emitted photon for each incident photon energy and projection angle for coronary angiography and brain perfusion acquisitions. The values in a table can be multiplied by an incident spectrum and number of photons at each projection angle and then summed across all energies and angles to estimate total organ dose. Scanner-specific organ dose may be approximated by normalizing the database-estimated organ dose by the database-estimated CTDIvol and multiplying by a physical CTDIvol measurement. Two examples are provided demonstrating how to use the tables to estimate relative organ dose. In the first, the change in breast and lung dose during coronary angiography CT scans is calculated for reduced kVp, angular tube current modulation, and partial angle scanning protocols relative to a reference protocol. In the second example, the change in dose to the eye lens is calculated for a brain perfusion CT acquisition in which the gantry is tilted 30◦ relative to a nontilted scan. Results: Our database provides tables of normalized dose deposition for several radiosensitive organs irradiated during coronary angiography and brain perfusion CT scans. Validation results indicate total organ doses calculated using our database are within 1% of those calculated using Monte Carlo simulations with the same geometry and scan parameters for all organs except red bone marrow (within 6%), and within 23% of published estimates for different voxelized phantoms. Results from the example of using the database to estimate organ dose for coronary angiography CT acquisitions show 2.1%, 1.1%, and −32% change in breast dose and 2.1%, −0.74%, and 4.7% change in lung dose for reduced kVp, tube current modulated, and partial angle protocols, respectively, relative to the reference protocol. Results show −19.2% difference in dose to eye lens for a tilted scan relative to a nontilted scan. The reported relative changes in organ doses are presented without quantification of image quality and are for the sole purpose of demonstrating the use of the proposed database. Conclusions: The proposed database and calculation method enable the estimation of organ dose for coronary angiography and brain perfusion CT scans utilizing any spectral shape and angular tube current modulation scheme by taking advantage of the precalculated Monte Carlo simulation results. The database can be used in conjunction with image quality studies to develop optimized acquisition techniques and may be particularly beneficial for optimizing dual kVp acquisitions for which numerous kV, mA, and filtration combinations may be investigated. © 2012 American Association of Physicists in Medicine

The Theory of the Firm and the Markets for Strategic Acquisitions

Five problems are addressed: (1) the role of competent actors in the venture capital and exit markets supporting the industrialization of winning technologies in small innovative firms, (2) the competence of the large firm to integrate large-scale operational efficiency with small-scale innovative capability through distributed development work and integrated production and (3) the importance of viable markets for strategic acquisitions, both in making this possible and in allowing a flexible choice for the small firm between growing aggressively on its own through own acquisitions, or being acquired strategically itself. We (4) find that the less developed markets in continental Europe may be a disadvantage compared to the US in ushering in a future New Economy. We finally (5) discuss what becomes of the Coasian theory of the firm when production is constantly outsourced in, or insourced from the market as the relative efficiency of coordination through management and over the market changes.competence bloc; experimentally organized economy; heterogeneity; Marshallian industrial district receiver competence; strategic acquisitions

Efficiency, scale economies and valuation effects : evidence from bank mergers in India

Original article can be found at : http://www.inderscience.com/ Copyright Inderscience PublishersThis paper examines two important issues related to bank mergers in India. First, we estimate potential economic gains of state owned banks if they undergo consolidation. Scale economies, returns to scale and profit efficiency of state owned banks during 1986 to 2003 are estimated based on stochastic frontier analysis. We find that many Indian banks exhibit potential cost savings from mergers provided they rationalize their branch networks although profit efficiency may not rise immediately. Second we measure the realized impact of bank mergers on shareholders’ wealth based on event study analysis. We find that in the case of forced mergers, shareholders of neither the bidder nor the target banks benefited. In the case of voluntary mergers, the bidder banks’ shareholders gained more than the target banks’ shareholders.Peer reviewe

Is It Worth It To Win The Talent War? Evaluating the Utility of Performance-Based Pay

While the business press suggests that “winning the talent war,” the attraction and retention of key talent, is increasingly pivotal to organization success, executives often report that their organizations do not fare well on this dimension. We demonstrate how, through integrating turnover and compensation research, the Boudreau and Berger (1985) staffing utility framework can be used by industrial/organizational (I/O) psychologists and other human resource (HR) professionals to address this issue. Employing a step-by-step process that combines organization-specific information about pay and performance with research on the pay-turnover linkage, we estimate the effects of incentive pay on employee separation patterns at various performance levels. We then use the utility framework to evaluate the financial consequences of incentive pay as an employee retention vehicle. The demonstration illustrates the limitations of standard accounting and behavioral cost-based approaches and the importance of considering both the costs and benefits associated with pay-for-performance plans. Our results suggest that traditional accounting or behavioral cost-based approaches, used alone, would have supported rejecting a potentially lucrative pay-for-performance investment. Additionally, our approach should enable HR professionals to use research findings and their own data to estimate the retention patterns and subsequent financial consequences of their existing, and potential, company-specific performance-based pay policies