Patellar Tendinopathy (PT), commonly called "Jumper's Knee", is a condition resulting from repetitive loading of the patellar tendon that presents as anterior knee pain, which is commonly seen in basketball players due to the maneuvers in the sport. Diagnosis of PT often involves a clinical exam followed by ultrasound images for confirmation of the diagnosis to look for key factors of PT. Clinical assessment of ultrasound images of tendons is subjective and requires a high level of experience for reliable interpretation. Thus, there is a need for objective, quantitative methods to assess tendon abnormalities associated with pathology. Ultrasound image texture analysis has emerged as a reliable technique to augment the utility of conventional US imaging, and has recently been shown to distinguish healthy from abnormal tendon and myofascial tissues. The objective of the present study was to conduct image texture analysis to evaluate patellar tendons of collegiate basketball athletes over two seasons. Under an IRB-approved protocol with informed consent, a total of 33 Division 1 collegiate basketball athletes (16 male, 17 female, age 19.9 +/- 1.4 years) underwent clinical evaluation and ultrasound imaging. Four imaging sessions were collected over the course of two years (pre- and post-season). Participants were imaged using a GE LOGIQ S8 (General Electric, USA) ultrasound machine equipped with ML6-15 linear probe. At each imaging session, power Doppler images were collected in the longitudinal and transverse axis, at the proximal, central, and distal regions of the patellar tendon of both knees. Image texture analysis was performed using a custom MATLAB (Mathworks, USA) program to obtain first order (mean, median, variance, skewness, kurtosis, entropy), second order (contrast, energy, and homogeneity), and blob analysis (blob count, BC, and blob area, BA, for 5%, 25%, 50%, 75%, and 95% thresholding values) texture parameters in each image, based upon borders manually drawn by a single researcher. Statistical analysis was conducted to compare imaging sessions (JMP Pro 16, SAS). P-values <0.05 were considered statistically significant. Quantitative texture parameters are able to distinguish characteristics in patellar tendon ultrasound images to distinguish between anatomic region, gender, dominance and pre- to post- season. The 25% and 75% thresholding percentiles effectively showed characteristics of collagen fibers in the patellar tendon. The abnormal diagnosis does not greatly effect texture parameters, which needs to be investigated with more incorporation of grading criteria distinctions and a larger sample size. / Master of Science / Patellar Tendinopathy (PT) is a knee injury that commonly occurs in basketball players. The recovery for PT is often long and the player can still have knee pain when returning to the sport. Diagnosis of PT requires a high level of expertise to consider the patients history, conduct a physical exam and take ultrasound images to look for factors that indicate patellar tendon is damaged. The difficulty of diagnosing PT calls for an objective method to allow for accuracy in assessing patellar tendons. In order to create a more objective measure of ultrasound images, quantitative texture parameters are explored to understand what the brightness values of each pixel and the proximity of pixels together can convey about the image. The objective of this study is to understand what characteristics of the subject (anatomic region, knee dominance, gender, and time point) texture parameters are able to distinguish in patellar tendon ultrasound images.

This thesis presents a method for completing target regions ("hole filling") in RGB stereo pairs. It builds upon the state of the art for completing single images by matching to and then blending source patches drawn from the rest of the image. A method is introduced for first completing the respective disparity maps using a coupled partial differential equation based on that of Bertalmio, et al. extended to create mutual disparity consistency. Estimated disparities are then used to guide completion of the missing color image texture. An extension to the coherence-based objective function introduced by Wexler, et al. is then introduced, which not only encourages coherence of the respective images with respect to source images but also stereoscopic consistency between the two. The PatchMatch algorithm of Barnes, et al. is extended to cross-image searching and matching. This matching is capable of automatically copying from corresponding unoccluded portions of the other image without requiring an explicit preliminary warping step. Stereoscopic consistency is produced by giving preference to matches with cross-image consistency when blending source patches. Additionally, the PatchMatch algorithm is extended to draw from scaled texture in a directed fashion based on the 3D structure of the scene estimated from the stereo image pairs. Results demonstrate that this method produces better completion than either single-image completion or previous methods for stereo completion.

Heterogeneous Templated Grain Growth (HTGG) is a developing method to fabricate designedcrystallographic textures of polycrystalline materials. Designed crystallographic texturesare important for enhancing desired material properties for specific applications. Four steps toHTGG have been identified: fabricating single crystal seeds, aligning seeds embedded into a powdermatrix, compacting seeds in the powder matrix, and promoting templating through sintering.Experimental research was performed on processing parameters, powder particle size and compaction,to indicate template coarsening trends during sintering. The results demonstrated thatlarger powder particles were influenced faster by the seeds crystallographic orientations comparedto smaller particles. The local effects of porosity on the seed and powder interface were analyzedand this powder size effect was explained in the context of the theory of Zener pinning.

There is no unified phenomenological model available for Zr alloys that allows for the inclusion of a complete set of texture input parameters in order to describe the anisotropic behaviour during plastic deformation at different strain rates and thermal creep. This research shows how AVBO, an anisotropic version of VBO, can be enhanced by introducing single crystal based tensors to describe the material response to different Kearns factors, which uniquely describe the texture of a sample with two numbers only. It is demonstrated with the aid of published thermal creep test data that small tensile deformation behaviour of Zr-2.5Nb is consistent with predominant slip of Zr alloy crystals parallel to their single crystal α basal planes, supporting the strategy to model the behaviour of these HCP materials with a phenomenological constitutive model. It is demonstrated that the new version of AVBO, ATXVBO, predicts trends consistent with a slip mechanism parallel to the basal planes. Multi-objective optimization was employed successfully to determine the set of 67 constants. It is proven that the theory relies on a limited number of tests to perform optimization of all the unknown constants. Numerous validation and sensitivity evaluations were performed to test the optimized solutions despite the limited availability of plastic deformation test data with documented texture information. It is demonstrated that, in order to capture dynamic strain aging effects, different strategies will be required at different evaluation temperatures. It is also shown that although texture variation can be accommodated that different manufacturing routes each requires a unique optimized set of constants. / Thesis / Doctor of Philosophy (PhD) / A unified phenomenological theory ATXVBO has been established that can predict the deformation of HCP materials, including Zr alloys, that can account for texture variation. It is postulated that the inelastic polycrystal properties can be derived from hypothetical single crystal properties and the Kearns factors, used to describe the texture.

Various biomedical technologies like CT, MRI and PET scanners provide detailed cross-sectional views of the human anatomy. The image information obtained from these scanning devices is typically represented as large data sets whose sizes vary from several hundred megabytes to about one hundred gigabytes. As these data sets cannot be stored on one's local hard drive, SDSC provides a large data repository to store such data sets. These data sets need to be accessed by researchers around the world to collaborate in their research. But the size of these data sets make them difficult to be transmitted over the current network. This thesis presents a 3-D Haar wavelet algorithm which enables these data sets to be transformed into smaller hierarchical representations. These transformed data sets are transmitted over the network and reconstructed to a 3-D volume on the client's side through progressive refinement of the images and 3-D texture mapping techniques.

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Yes / We introduce a novel approach to face models, which exploits the use of Partial Differential Equations (PDE) to generate the 3D face. This addresses some common problems of existing face models. The PDE face benefits from seamless merging of surface patches by using only a relatively small number of parameters based on boundary curves. The PDE face also provides users with a great degree of freedom to individualise the 3D face by adjusting a set of facial boundary curves. Furthermore, we introduce a uv-mesh texture mapping method. By associating the texels of the texture map with the vertices of the uv mesh in the PDE face, the new texture mapping method eliminates the 3D-to-2D association routine in texture mapping. Any specific PDE face can be textured without the need for the facial expression in the texture map to match exactly that of the 3D face model.

No / The tilt aftereffect (TAE) has been used previously to probe whether contours defined by different attributes are subserved by the same or by different underlying mechanisms. Here, we compare two types of contours between texture surfaces, one with texture orientation contrast across the edge (orientation contrast contour; OC) and one without, commonly referred to as a subjective contour (SC). Both contour types produced curves of TAE versus adapting angle displaying typical positive and negative peaks at ~15 and 70 deg, respectively. The curves are well fit by difference of Gaussian (DoG) functions, with one Gaussian accounting for the contour adaptation effect and the other accounting for the texture orientation adaptation effect. Adaptation to OC elicited larger TAEs than did adaptation to SC, suggesting that they more effectively activate orientation-selective neurons in V1/V2 during prolonged viewing. Surprisingly, both contour types adapted a luminance contour (LC) as strongly as did an LC itself, suggesting that the second-order orientation cue contained in the texture edge activates the same set of orientation-selective neurons as does an LC. These findings have implications for the mechanisms by which the orientations of texture edges and SCs are encoded

Thesis advisor: Marjorie Howes / Focusing on elegiac dimensions of the museum, Reinventing the Museum: Textured Materiality in Modern and Contemporary Women’s Elegies contends that Eavan Boland, Sylvia Plath, Elizabeth Bishop, and Gwendolyn Brooks help us conceive a new spatial imaginary, which addresses traditionally underrepresented subject matters and historiographies with ethical alertness. Reading their works and their affective-experiential modes through an interdisciplinary feminist lens, this dissertation explores the ways in which the four women poets revise and update Julia Kristeva’s foundational concept of women’s time. Their decision to draw from museums—both physical and metaphorical—foregrounds woman’s embodied self and its relational ontology, ultimately to challenge the dominant dynamics of historiographical, literary canon formation. Functioning as bookends are my chapters on Boland and Brooks whose writings about Irish and Black experiences respectively explore tactics of space-making at the face of postcolonial, post-slavery displacements and diasporas. Taking Boland’s museum elegies as a point of departure, I move on to Plath’s plastic self-elegies where an inquiry into the plasticity of the self and theatrics of self-exhibit happens. Next, I examine Bishop’s shift from Enlightenment taxonomization to love as a possible antidote to enlightenment culture. Straddling between love poetry and elegy, Bishop’s prismatic love elegies often cast a discursive journey to proto-museums with the beloved as a figure for love. Her occasional superimposition of the lover on the racial other gestures towards Brooks’s necropolitical elegies and elegies of necropolitics, the latter of which resonate with the mission of Black neighborhood museums. Each assigned with a textured materiality—textile, plastic, light, and firmness, respectively—the chapters are divided into three sections that proceed from the poets’ problem posing to their attempt to think through the identified problem. On a broader scale, the chapters progress from the most concrete, fungible, and tangible materiality to the least, which points to a way of being, an attitude towards life. Assigning textured materialities to each chapter additionally draws attention to the interstices between the formal materiality of poetic language and nonlinguistic gestures and speech sounds. In this manner, my project actively builds on the momentum of and expand current debates in and around genre theory, phenomenology, affect studies, a version of historical materialism, postcolonial/Black studies, and museum studies. / Thesis (PhD) — Boston College, 2022. / Submitted to: Boston College. Graduate School of Arts and Sciences. / Discipline: English.