Three-dimensional Kinematics of the Human Back in Normal and Pathologic Spine PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Three-dimensional Kinematics of the Human Back in Normal and Pathologic Spine PDF full book. Access full book title Three-dimensional Kinematics of the Human Back in Normal and Pathologic Spine by Richard John Hindle. Download full books in PDF and EPUB format.
Author: Richard John Hindle
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Richard John Hindle
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Marutl Ram Gudavalll
Publisher:
ISBN:
Category :
Languages : en
Pages : 496
Get Book Here
Book Description
Author: Tsang Yeou Chen
Publisher:
ISBN:
Category : Kinematics
Languages : en
Pages : 148
Get Book Here
Book Description
Author: Bryan Preston Conrad
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
ABSTRACT: Motion is an important function of the human spine and accurate measurement of that motion is critical to assessing spinal health and the effect of treatments. There is a great need for tools that allow accurate 3D intervertebral spine motion to be measured in vivo. The purpose of this study is to develop a method for registering a 2D radiograph with a 3D CT scan for the purpose of measuring 3D motion in the spine. This goal was achieved in three phases. The first phase of this project evaluated the accuracy of a fluoroscopic object recognition technique to measure the 3D position and orientation of a cervical disc arthroplasty implant. Although the experimental uncertainties of the proposed technique have been extensively analyzed with respect to the measurement of knee implant motions, the size, geometry, and type of motion of spine implants requires that these uncertainties be determined specifically for spine components. These uncertainties were determined using a cadaver model. The second phase of this project developed and evaluated the static accuracy and capture range of a novel 2D/3D image registration methodology using existing gold standard data. Digitally reconstructed radiographs were used in the registration algorithm to take advantage of the internal contours and density variation of the bony anatomy. In the third phase of this project, the uncertainties of measuring dynamic 3D kinematics of cervical vertebrae were determined. The tools developed in this project will allow clinicians and researchers to accurately quantify the performance of the normal spine as well as new implants designed to restore motion to the spine. This methodology also has applications for other joints, such as the shoulder, ankle, knee and hip.
Author: Cheng Cao
Publisher:
ISBN:
Category : Human mechanics
Languages : en
Pages : 222
Get Book Here
Book Description
Author: Wantuir Carlos Ramos Junior
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Low back pain (LBP) is a common and costly musculoskeletal disorder. Clinicians and researchers frequently assess dysfunction in LBP by observing patient's movement quality during pre-determined tasks using technically challenging and expensive motion capture devices. However, the cost and expertise needed to use these devices are direct barriers to their widespread adoption in clinical settings where direct benefits could be realized by LBP patients. RGB-D cameras are a potential inexpensive and less time-intensive motion capture alternative, which have been validated for analyses of gait, postural control, ergonomics, and human anatomy. However, as manufactured, RGB-D cameras are not ready for specific kinematic analyses, such as lumbar spine motion, as the native artificial intelligence (AI) models do not adequately detect the number and location of trunk joints to accurately track three-dimensional kinematics. In this thesis a proof of concept framework to adapt RGB-D cameras to accurately measure lumbar spine kinematics is presented, which is separated into two research studies: 1) validation of an RGB-D depth-based algorithm against an optoelectronic motion capture system of reference for measuring spine motion, and 2) the development of a markerless method of measuring lumbar spine kinematics. In study one, 12 healthy young adults (6M, 6F) performed 35 cycles of repetitive flexion-extension with infrared reflective marker clusters placed over their T10-T12 spinous processes and sacrum, while motion capture data were recorded simultaneously by one RGB-D camera and a 10-camera optoelectronic motion capture system. Lumbar spine joint angle range of motion (ROM) were extracted and compared between systems. Root mean squared error (RMSE) values were very low across all movement axes (RMSE ≤ 2.05° ± 0.97°), and intraclass correlations (ICCs) were considered excellent across all axes (ICC2,1 ≥ 0.849), while Bland-Altman plots revealed that, on average, the RGB-D camera slightly underestimated flexion-extension angles (≈ -1.88o) and slightly overestimated lateral bending and axial twisting angles (≈ 0.58o). In study two, a single RGB-D camera was used to capture infrared, depth, and colour image data of 15 participants performing two batteries of 10 cycles of repetitive trunk flexion-extension under two conditions: marked (i.e. hand drawn markers on key anatomical locations on the back) and unmarked. The collected data were used to create a custom four module convolutional neural network (CNN; SpineNet) to segment the human back into upper back, lower back, and spine regions and to subsequently extract lumbar spine kinematics. SpineNet was trained and tested on ten marked participants in a train:test ratio of 80:20. Images of five additional participants without markers were used to evaluate SpineNet's generalizability. Quantitative image segmentation analysis on marked data had good similarity and accuracy between their prediction and ground truth across all individual modules (mPAFG ≥ 0.8855; mJBKG ≥ 0.8391; mJFG ≥ 0.7884; fwJBKG ≥ 0.9672; fwJFG ≥ 0.8087) when the background class was ignored. Qualitative image segmentation analysis on unmarked data showed that Colourized and Surface Normal modules presented a more uniform and robust class morphology throughout frames than infrared (IR) and Fusion modules. All modules extracted kinematics similarly and were compared with their ground truth labels, showing low error levels across all movement axes (RMSE ≤ 3.66o), and good agreement on the flexion-extension and axial twist axes (ICC2,1 > 0.907; CI 95% [0.640, 0.990]); however kinematic extraction in the lateral bend axis was poor (-0.212
Author: Patricia Anne Hartley Russell
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Dhruv Jitesh Mehta
Publisher:
ISBN:
Category : Biomechanics
Languages : en
Pages : 71
Get Book Here
Book Description
The aim of the research was to develop a three-dimensional finite element model to study the biomechanical and kinematic characteristics of the human lumbar spine in flexion. An analytical model of the lumbar spine capable of taking into consideration the actual geometry, non-linear material properties and realistic loading would be of benefit in studying normal biomechanics, as well as in-vivo behavior in injured and surgically altered spines. Fundamental to this approach is an accurate model of the spine. This was achieved by modeling the lumbar segments L2-L4 from Computed Tomography (CT) data and analyzing them under loading conditions that best approximated the human lumbar segments in flexion. An in-vitro study was performed for validation of the finite element model. Human lumbar cadaveric spinal segments (L2-L4) were loaded based on test conditions similar to those defined in the finite element analysis. The results of the cadaver biomechanical study and finite element analysis were compared. The results suggest that the model is a valid approach to assessing the range of motion of the L3 segment under flexion. Rotation under lateral bending moments was additionally investigated to provide a thorough validation of the model.
Author: Fabio Galbusera
Publisher: Academic Press
ISBN: 0128128526
Category : Technology & Engineering
Languages : en
Pages : 458
Get Book Here
Book Description
Biomechanics of the Spine encompasses the basics of spine biomechanics, spinal tissues, spinal disorders and treatment methods. Organized into four parts, the first chapters explore the functional anatomy of the spine, with special emphasis on aspects which are biomechanically relevant and quite often neglected in clinical literature. The second part describes the mechanics of the individual spinal tissues, along with commonly used testing set-ups and the constitutive models used to represent them in mathematical studies. The third part covers in detail the current methods which are used in spine research: experimental testing, numerical simulation and in vivo studies (imaging and motion analysis). The last part covers the biomechanical aspects of spinal pathologies and their surgical treatment. This valuable reference is ideal for bioengineers who are involved in spine biomechanics, and spinal surgeons who are looking to broaden their biomechanical knowledge base. The contributors to this book are from the leading institutions in the world that are researching spine biomechanics. - Includes broad coverage of spine disorders and surgery with a biomechanical focus - Summarizes state-of-the-art and cutting-edge research in the field of spine biomechanics - Discusses a variety of methods, including In vivo and In vitro testing, and finite element and musculoskeletal modeling
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 580
Get Book Here
Book Description
