Issued also as Thesis (Ph. D.)--Columbia University. / "Bibliography on Reconstruction finance corporation loans to railroads and the problem of railway finance in the depression": p. 167-173.

Thesis (M.A.)--University of Wisconsin--Madison, 1968. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (M.A.)--University of Wisconsin--Madison, 1968. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis--Université de Genève.

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 57-58). Also available in electronic version.

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 101-112). Also available in electronic version.

Thesis (M. Sc.)--University of Canterbury, 2006. / Typescript (photocopy). Includes bibliographical references (leaves 89-93). Also available via the World Wide Web.

Th. doct.--Braunschweig--Technischen Universität, 1994. / Bibliogr. p. 80-85.

Background: Knee injuries have a considerable impact on both the person’s psychological and physical health. We currently have tools to address each of these aspects but they are often considered independent of each other. Little work has been done to consolidate the subjective and objective functional ability of anterior cruciate ligament (ACL) injured individuals, which can be detrimental when implementing a return-to-play decision-making scheme. The lack of understanding concerning the relationship of these two measures may account for the high incidence of re-injury rates and lower quality of life exhibited by so many of these patients. Purpose: The purpose of this doctoral thesis is to investigate the relationship between subjective and objective measures of functional ability in ACL deficient and ACL reconstructed conditions through biomechanical and neuromusculoskeletal modelling approaches. Methods: This thesis is comprised of five studies based on a single in vivo data collection protocol, medical imaging and in silico data analyses. The in vivo data collection was of test-retest design where ACL deficient patients participated prior to their operation and approximately ten months post-reconstruction. This experimental group was matched to a healthy, uninjured control group, which was tested a single time. The first study of this thesis involved a descriptive analysis of spatiotemporal, neuromuscular, and biomechanical patterns during hopping and side cut tasks in addition to subjective functional ability questionnaires. Then, two novel measures of dynamic knee joint control were developed and applied along with a third measure to determine if changes in joint control exist between the three groups (Study 2). The relationships of these objective measures of functional ability to subjective measures were then examined through correlation and regression models (Study 3). Following this, a method of including magnetic resonance imaging to construct patient-specific models was developed and implemented to determine realistic kinematic and ligament lengthening profiles (Study 4). These patient-specific models were then applied to quantify knee joint loading in the form of contact and ligament forces, which were correlated to subjective measures of functional ability (Study 5). Results: Even though no major differences in neuromuscular patterns were observed between all three groups, it was found that subjective patient-reported outcome measures scores and biomechanical measures in the form of knee flexion angles and extensor moments were lower in the ACL deficient group compared to healthy controls. These differences continued to exist 10 months post-operation as the ACL reconstructed group had not fully recovered to patterns observed in the healthy controls. The current findings also suggest a possible hierarchy in the relationships between objective and subjective measures of functional ability. Basic kinematic objective measures such as knee flexion angle show small to moderate correlations, while more comprehensive measures such as stiffness and joint compressive force show moderate to strong correlations to subjective questionnaires. Finally, this thesis developed patient-specific OpenSim models that were used to produce appropriate kinematics and ligament lengthening with the reduction in soft tissue artefact. Conclusion: This thesis demonstrated that patients who are high-functioning in the ACL deficient state show greater improvements in subjective outcome scores after ACL reconstruction compared to objective measures. Biomechanical and neuromusculoskeletal modelling approaches identified important differences between the healthy and ACL deficient groups that were not resolved post-operatively. Our results also demonstrate that certain subjective and objective measures of functional ability are strongly correlated. The knowledge gained from this test-retest design and novel patient-specific in silico models aids clinicians in managing their expectations regarding the effectiveness of reconstruction and the respective long-term sequelae.

Cette thèse contribue au problème de la reconstruction 3D pour les surfaces déformables avec une seule caméra. Afin de modéliser la déformation de la surface, nous considérons l’isométrie puisque de nombreuses déformations d’objets réels sont quasi-isométriques. L’isométrie implique que, lors de sa déformation, la surface ne peut pas être étirée ou compressée. Nous étudions deux problèmes. Le premier est le problème basé sur une modèle 3D de référence et une seule image. L’état de l’art propose une méthode locale et analytique de calcul direct de profondeur sous l’hypothèse d’isométrie. Dans cette méthode, la solution pour le gradient de la profondeur n’est pas utilisée. Nous prouvons que cette méthode s’avère instable lorsque la géométrie de la caméra tend à être affine. Nous fournissons des méthodes alternatives basées sur les solutions analytiques locales des quantités de premier ordre, telles que les gradients de profondeur ou les normales de la surface. Nos méthodes sont stables dans toutes les géométries de projection. Dans le deuxième type de problème de reconstruction sans modèle 3D de référence, on obtient les formes de l’objet à partir d’un ensemble d’images où il apparaît déformé. Nous fournissons des solutions locales et globales basées sur le modéle de la caméra perspective. Dans la méthode locale ou par point, nous résolvons pour la normale de la surface en chaque point en supposant que la surface est infinitésimalement plane. Nous calculons ensuite la surface par intégration. Dans la méthode globale, nous trouvons une relaxation convexe du problème. Celle-ci est basée sur la relaxation de l’isométrie en contrainte d’inextensibilité et sur la maximisation de la profondeur en chaque point de la surface. Cette solution combine toutes les contraintes en un seul programme d’optimisation convexe qui calcule la profondeur et utilise une représentation éparse de la surface. Nous détaillons les expériences approfondies qui ont été réalisées pour démontrer l’efficacité de chacune des méthodes. Les expériences montrent que notre solution libre de modèle de référence local fonctionne mieux que la plupart des méthodes précédentes. Notre méthode local avec un modèle 3D de référence et notre méthode globale sans modèle 3D apportent de meilleurs résultats que les méthodes de l’état de l’art en étant robuste au bruit de la correspondance. En particulier, nous sommes en mesure de reconstruire des déformations complexes, non-lisses et d’articulations avec la seconde méthode; alors qu’avec la première, nous pouvons reconstruire avec précision de déformations larges à partir d’images prises avec des très longues focales. / This thesis contributes to the problem of 3D reconstruction for deformable surfaces using a single camera. In order to model surface deformation, we use the isometric prior because many real object deformations are near-isometric. Isometry implies that the surface cannot stretch or compress. We tackle two different problems. The first is called Shape-from-Template where the object’s deformed shape is computed from a single image and a texture-mapped 3D template of the object surface. Previous methods propose a differential model of the problem and compute the local analytic solutions. In the methods the solution related to the depth-gradient is discarded and only the depth solution is used. We demonstrate that the depth solution lacks stability as the projection geometry tends to affine. We provide alternative methods based on the local analytic solutions of first-order quantities, such as the depth-gradient or surface normals. Our methods are stable in all projection geometries. The second type of problem, called Non-Rigid Shape-from-Motion is the more general templatefree reconstruction scenario. In this case one obtains the object’s shapes from a set of images where it appears deformed. We contribute to this problem for both local and global solutions using the perspective camera. In the local or point-wise method, we solve for the surface normal at each point assuming infinitesimal planarity of the surface. We then compute the surface by integration. In the global method we find a convex relaxation of the problem. This is based on relaxing isometry to inextensibility and maximizing the surface’s average depth. This solution combines all constraints into a single convex optimization program to compute depth and works for a sparse point representation of the surface. We detail the extensive experiments that were used to demonstrate the effectiveness of each of the proposed methods. The experiments show that our local template-free solution performs better than most of the previous methods. Our local template-based method and our global template-free method performs better than the state-of-the-art methods with robustness to correspondence noise. In particular, we are able to reconstruct difficult, non-smooth and articulating deformations with the latter; while with the former we can accurately reconstruct large deformations with images taken at very long focal lengths.