4 resultados para Pre-processing

em DigitalCommons@The Texas Medical Center


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A two-pronged approach for the automatic quantitation of multiple sclerosis (MS) lesions on magnetic resonance (MR) images has been developed. This method includes the design and use of a pulse sequence for improved lesion-to-tissue contrast (LTC) and seeks to identify and minimize the sources of false lesion classifications in segmented images. The new pulse sequence, referred to as AFFIRMATIVE (Attenuation of Fluid by Fast Inversion Recovery with MAgnetization Transfer Imaging with Variable Echoes), improves the LTC, relative to spin-echo images, by combining Fluid-Attenuated Inversion Recovery (FLAIR) and Magnetization Transfer Contrast (MTC). In addition to acquiring fast FLAIR/MTC images, the AFFIRMATIVE sequence simultaneously acquires fast spin-echo (FSE) images for spatial registration of images, which is necessary for accurate lesion quantitation. Flow has been found to be a primary source of false lesion classifications. Therefore, an imaging protocol and reconstruction methods are developed to generate "flow images" which depict both coherent (vascular) and incoherent (CSF) flow. An automatic technique is designed for the removal of extra-meningeal tissues, since these are known to be sources of false lesion classifications. A retrospective, three-dimensional (3D) registration algorithm is implemented to correct for patient movement which may have occurred between AFFIRMATIVE and flow imaging scans. Following application of these pre-processing steps, images are segmented into white matter, gray matter, cerebrospinal fluid, and MS lesions based on AFFIRMATIVE and flow images using an automatic algorithm. All algorithms are seamlessly integrated into a single MR image analysis software package. Lesion quantitation has been performed on images from 15 patient volunteers. The total processing time is less than two hours per patient on a SPARCstation 20. The automated nature of this approach should provide an objective means of monitoring the progression, stabilization, and/or regression of MS lesions in large-scale, multi-center clinical trials. ^

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High Angular Resolution Diffusion Imaging (HARDI) techniques, including Diffusion Spectrum Imaging (DSI), have been proposed to resolve crossing and other complex fiber architecture in the human brain white matter. In these methods, directional information of diffusion is inferred from the peaks in the orientation distribution function (ODF). Extensive studies using histology on macaque brain, cat cerebellum, rat hippocampus and optic tracts, and bovine tongue are qualitatively in agreement with the DSI-derived ODFs and tractography. However, there are only two studies in the literature which validated the DSI results using physical phantoms and both these studies were not performed on a clinical MRI scanner. Also, the limited studies which optimized DSI in a clinical setting, did not involve a comparison against physical phantoms. Finally, there is lack of consensus on the necessary pre- and post-processing steps in DSI; and ground truth diffusion fiber phantoms are not yet standardized. Therefore, the aims of this dissertation were to design and construct novel diffusion phantoms, employ post-processing techniques in order to systematically validate and optimize (DSI)-derived fiber ODFs in the crossing regions on a clinical 3T MR scanner, and develop user-friendly software for DSI data reconstruction and analysis. Phantoms with a fixed crossing fiber configuration of two crossing fibers at 90° and 45° respectively along with a phantom with three crossing fibers at 60°, using novel hollow plastic capillaries and novel placeholders, were constructed. T2-weighted MRI results on these phantoms demonstrated high SNR, homogeneous signal, and absence of air bubbles. Also, a technique to deconvolve the response function of an individual peak from the overall ODF was implemented, in addition to other DSI post-processing steps. This technique greatly improved the angular resolution of the otherwise unresolvable peaks in a crossing fiber ODF. The effects of DSI acquisition parameters and SNR on the resultant angular accuracy of DSI on the clinical scanner were studied and quantified using the developed phantoms. With a high angular direction sampling and reasonable levels of SNR, quantification of a crossing region in the 90°, 45° and 60° phantoms resulted in a successful detection of angular information with mean ± SD of 86.93°±2.65°, 44.61°±1.6° and 60.03°±2.21° respectively, while simultaneously enhancing the ODFs in regions containing single fibers. For the applicability of these validated methodologies in DSI, improvement in ODFs and fiber tracking from known crossing fiber regions in normal human subjects were demonstrated; and an in-house software package in MATLAB which streamlines the data reconstruction and post-processing for DSI, with easy to use graphical user interface was developed. In conclusion, the phantoms developed in this dissertation offer a means of providing ground truth for validation of reconstruction and tractography algorithms of various diffusion models (including DSI). Also, the deconvolution methodology (when applied as an additional DSI post-processing step) significantly improved the angular accuracy of the ODFs obtained from DSI, and should be applicable to ODFs obtained from the other high angular resolution diffusion imaging techniques.

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Uridine-rich small nuclear RNAs (U snRNAs) play essential roles in eukaryotic gene expression by facilitating the removal of introns from mRNA precursors and the processing of the replication-dependent histone pre-mRNAs. Formation of the 3’ end of these snRNAs is carried out by a poorly characterized, twelve-membered protein complex named Integrator Complex. In the effort to understand Integrator Complex function in the formation of the snRNA 3’ end, we performed a functional RNAi screen in Drosophila S2 cells to identify protein factors required for snRNA 3’ end formation. This screen was conducted by using a fluorescence-based reporter that elicits GFP expression in response to a deficiency in snRNA processing. Besides scoring the known Integrator subunits, we identified Asunder and CG4785 as additional core members of the Integrator Complex. Additionally, we also found a conserved requirement for Cyclin C and Cdk8 in both fly and human snRNA 3’ end processing. We have further demonstrated that the kinase activity of Cdk8 is critical for snRNA 3’ end processing and is likely to function independent of its well-documented function within the Mediator Cdk8 module. Taken together, this work functionally defines the Drosophila Integrator Complex and demonstrates a novel function for Cyclin C/Cdk8 in snRNA 3’ end formation. This thesis work has also characterized an important functional interaction mediated by a microdomain within Integrator subunit 12 (IntS12) and IntS1 that is required for the activity of the Integrator Complex in processing the snRNA 3’ end. Through the development of a reporter-based functional RNAi-rescue assay in Drosophila S2 cells, we analyzed domains within IntS12 required for snRNA 3’ end formation. This analysis unexpectedly revealed that an N-terminal 30 amino acid region and not the highly conserved central PHD finger domain, is required for snRNA 3’ end cleavage. The IntS12 microdomain (1-45) functions autonomously, and is sufficient to interact and stabilize the putative scaffold protein IntS1. Our findings provide more details of the Integrator Complex for understanding the molecular mechanism of snRNA 3’ end processing. Moreover, these results lay the foundation for future studies of the complex through the identification of a novel functional domain within one subunit and the identification of additional subunits.

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One of the most elegant and tightly regulated mechanisms for control of gene expression is alternative pre-mRNA splicing. Despite the importance of regulated splicing in a variety of biological processes relatively little is understood about the mechanisms by which specific alternative splice choices are made and regulated. The transformer-2 (tra-2) gene encodes a splicing regulator that controls the use of alternative splicing pathways in the sex determination cascade of D. melanogaster and is particularly interesting because it directs the splicing of several distinct pre-mRNAs in different manners. The tra-2 protein positively regulates the splicing of both doublesex (dsx) and fruitless (fru) pre-mRNAs. Additionally tra-2 controls exuperantia (exu) by directing the choices between splicing and cleavage/polyadenylation and autoregulates the tra-2 pre-mRNA processing by repressing the removal of a specific intron (called M1). The goal of this study is to identify the molecular mechanisms by which TRA-2 protein affects the alternative splicing of pre-mRNA deriving from the tra-2 gene itself.^ The autoregulation of M1 splicing plays a key role in regulation of the relative levels of two functionally distinct TRA-2 protein isoforms expressed in the male germline. We have examined whether the structure, function, and regulation of tra-2 are conserved in Drosophila virilis, a species diverged from D. melanogaster by over 60 million years. We find that the D. virilis homolog of tra-2 produces alternatively spliced RNAs encoding a set of protein isoforms analogous to those found in D. melanogaster. When introduced into the genome of D. melanogaster, this homolog can functionally replace the endogenous tra-2 gene for both normal female sexual differentiation and spermatogenesis. Examination of alternative pre-mRNAs produced in D. virilis testes suggests that the germline-specific autoregulation of tra-2 function is accomplished by a strategy similar to that used in D. melanogaster.^ To identify elements necessary for regulation of tra-2 M1 splicing, we mutagenized evolutionarily conserved sequences within the tra-2 M1 intron and flanking exons. Constructs containing these mutations were used to generate transgenic fly lines that have been tested for their ability to carry out autoregulation. These transgenic fly experiments elucidated several elements that are necessary for setting up a context under which tissue-specific regulation of M1 splicing can occur. These elements include a suboptimal 3$\sp\prime$ splice site, an element that has been conserved between D. virilis and D. melanogaster, and an element that resembles the 3$\sp\prime$ portion of a dsx repeat and other splicing enhancers.^ Although important contextual features of the tra-2 M1 intron have been delineated in the transgenic fly experiments, the specific RNA sequences that interact directly with the TRA-2 protein were not identified. Using Drosophila nuclear extracts from Schneider cells, we have shown that recombinant TRA-2 protein represses M1 splicing in vitro. UV crosslinking analysis suggests that the TRA-2 protein binds to several different sites within and near the M1 intron. ^