Antiviral therapy induces a rapid drop in human immunodeficiency virus type 1 viremia, but the decline of virus levels decelerates over time. Mathematical modeling demonstrates that the source of residual virus production might be a single compartment of latently infected cells with an extended distribution of activation rates.The rapid initial decline of virus levels after the initiation of highly active antiretroviral therapy (HAART) reflects the decline of productively infected CD4 ϩ T cells (15,18,24). The slower second phase has been attributed to another cell population that produces fewer viruses initially but that has a slower turnover rate (17). Eventually, virus RNA becomes undetectable in patients with sustained suppression of virus replication. Occasional viral "blips" and the rebound of virus after discontinuation of therapy (5, 9), however, indicate the persistence of virus reservoirs even after 5 or more years of suppressive treatment (for a recent review on reservoirs see reference 21). As even the hypothetical persistently infected cell population should dwindle to a point of extinction in 2 to 3 years (17), the source of residual virus replication must be sought elsewhere. Finally, statistical analyses have shown that the observed decay of the virus level cannot be described in terms of a simple exponential decay ( Latently infected CD4 ϩ T lymphocytes have been shown to harbor replication-competent integrated provirus even after years of suppressive therapy (8,12,25). The pool of latently infected cells is established early during primary human immunodeficiency virus type 1 (HIV-1) infection (6), presumably by the reversion of productively infected memory CD4 ϩ T cells into the resting state (20). In vitro these cells can be induced to produce infectious virus, and activation has been shown to occur also in vivo upon encounter with the appropriate recall antigens (14) or by the administration of activating lymphokines (7). In patients with apparently complete suppression of HIV-1 replication by HAART, the source of rebounding virus after the cessation of therapy was identified as the latently infected cell pool (26). However, the exact contribution of this pool to the residual virus production during fully suppressive HAART has not been clarified. Here we present a mathematical model on the dynamics of latently infected cells and their impact on residual virus replication. We show that a decelerating decay might be an inherent characteristic of this system.Our goal was to model virus production by reactivated latently infected T cells after prolonged fully suppressive therapy when the initial major virus-producing population has already dwindled. This restricted goal allowed us to neglect much of the complexity of HIV-1 infection. We considered latently infected cells, L, which die at rate ␦ L L and which are reactivated at rate ␣L, and cells actively producing virus, T*, which arise by the reactivation of latently infected cells and which die at rate ␦T*. The generation of latently or product...
Abstract. The phase correlation method is a well-known image alignment technique with broad applications in medical image processing, image stitching, and computer vision. This method relies on estimating the maximum of the phase-only correlation (POC) function, which is defined as the inverse Fourier transform of the normalized cross-spectrum between two images. The coordinates of the maximum correspond to the translation between the two images. One of the main drawbacks of this method, in its basic form, is that the location of the maximum can only be obtained with integer accuracy. In this paper, we propose a new technique to estimate the location with subpixel accuracy, by minimizing the magnitude of gradient of the POC function around a point near the maximum. We also present some experimental results where the proposed method shows an increased accuracy of at least one order of magnitude with respect to the base method. Finally, we illustrate the application of the proposed algorithm to the rigid registration of digital images.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.