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Structural changes in the brain in people with multiple sclerosis and their association with clinical status
Veselá, Adéla ; Řasová, Kamila (advisor) ; Švojgrová, Andrea (referee)
Title: Structural Brain Changes in Multiple Sclerosis Patients and Their Clinical Implications The main objective: The aim of this thesis is to determine whether lesions of the corticospinal tract can affect motor skills such as balance and walking in people with MS, as measured by the clinical tests Timed Up and Go (TUG), Berg Balance Scale (BBS), and the 12-item Multiple Sclerosis Walking Scale (MSWS-12). Another aim was to determine whether a two-month facilitationn therapy would influence balance and walking assessed by TUG, BBS, and MSWS when the corticospinal tract is affected by lesions in people with MS. And whether the effect of a two-month facilitation therapy varies depending on the involvement of CST. Methods: This work is part of the study "Neuroproprioceptive "Facilitation, Inhibition" and Brain Plasticity (NEFAI)", registered under the number NCT04355663, for which paraclinical (magnetic resonance (MR) images) and clinical data (Timed Up and Go test (TUG), Berg Balance Scale (BBS), and the 12-item Multiple Sclerosis Walking Scale (MSWS) questionnaire) were obtained from people with MS between 2015 and 2017. Lesions on MR images of people with MS were delineated in the 3D slicer program as part of my bachelors thesis in 2022. For the master's thesis, these images are aligned in the...
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Time development analysis of treated lesion in spinal CT data
Nohel, Michal ; Jan, Jiří (referee) ; Jakubíček, Roman (advisor)
This diploma thesis is focused on time-development analysis of treated lesion in CT data. The theoretical part of the thesis deals with the anatomy, physiology, and pathophysiology of the spine and vertebral bodies. It further describes diagnostic and therapeutic options for the detection and treatment of spinal lesions. It contains an overview of the current state of usage of time-development analysis in oncology. The problems of the available databases are discussed and new databases are created for subsequent analysis. Futhermore, the methodology of time-development analysis according to the shape characterization and the size of the vertebral involvement is proposed. The proposed methodological approaches to feature extraction are applied to the created databases. Their choice and suitability is discussed, including their potential for possible usege in clinical practice of monitoring the development and derivation of characteristic dependences of features on the patient's prognosis.
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Methods of Detection, Segmentation and Classification of Difficult to Define Bone Tumor Lesions in 3D CT Data
Chmelík, Jiří ; Flusser,, Jan (referee) ; Kozubek, Michal (referee) ; Jan, Jiří (advisor)
The aim of this work was the development of algorithms for detection segmentation and classification of difficult to define bone metastatic cancerous lesions from spinal CT image data. For this purpose, the patient database was created and annotated by medical experts. Successively, three methods were proposed and developed; the first of them is based on the reworking and combination of methods developed during the preceding project phase, the second method is a fast variant based on the fuzzy k-means cluster analysis, the third method uses modern machine learning algorithms, specifically deep learning of convolutional neural networks. Further, an approach that elaborates the results by a subsequent random forest based meta-analysis of detected lesion candidates was proposed. The achieved results were objectively evaluated and compared with results achieved by algorithms published by other authors. The evaluation was done by two objective methodologies, technical voxel-based and clinical object-based ones. The achieved results were subsequently evaluated and discussed.
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Multiple sclerosis detection
Kopuletý, Michal ; Mangová, Marie (referee) ; Uher, Václav (advisor)
This thesis is focused on detecting multiple sclerosis lesions from magnetic resonance images. Correctly retrieved lesions are very important for medical diagnosis. Detection of lesions using machine learning techniques is quite challenging because of large variability in size, shape and position of lesions in the brain. In the practical part is designed base software, which after completion will classify pixels, so that is possible to find lesions of multiple sclerosis. For classification will be used Support vector machine. Theoretical part describes multiple sclerosis, basic operations performed with biomedical images and data classification.
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Instrumental gait analysis in the ACL patient
Lalaeva, Anna ; Dudová, Agnieszka (advisor) ; Lopot, František (referee)
Title: Instrumental Gait Analysis in the ACL Patient Aim: to present an up to date review on the topic of instrumental analysis of straight ahead gait on a plain surface (both over-ground and on a treadmill) in ACL patients (both deficient and reconstructed). A second aim is to introduce the clinician (especially in the field of physiotherapy/rehabilitation) to the topic of gait analysis and its specific use for the ACL patient. Methods: a systematic review on the topic Results The review answers the questions of what instrumentation, phases of gait and variables is best to use/measure for clinical purposes. It also identifies and discusses three main gait strategies used by ACL patients: quadriceps avoidance, knee stiffening, pivot shift avoidance. Keywords: gait, analysis, walking, clinical, instrumental, anterior cruciate ligament, ACL, deficient, reconstruction, injury
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Time development analysis of treated lesion in spinal CT data
Nohel, Michal ; Jan, Jiří (referee) ; Jakubíček, Roman (advisor)
This diploma thesis is focused on time-development analysis of treated lesion in CT data. The theoretical part of the thesis deals with the anatomy, physiology, and pathophysiology of the spine and vertebral bodies. It further describes diagnostic and therapeutic options for the detection and treatment of spinal lesions. It contains an overview of the current state of usage of time-development analysis in oncology. The problems of the available databases are discussed and new databases are created for subsequent analysis. Futhermore, the methodology of time-development analysis according to the shape characterization and the size of the vertebral involvement is proposed. The proposed methodological approaches to feature extraction are applied to the created databases. Their choice and suitability is discussed, including their potential for possible usege in clinical practice of monitoring the development and derivation of characteristic dependences of features on the patient's prognosis.
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Methods of Detection, Segmentation and Classification of Difficult to Define Bone Tumor Lesions in 3D CT Data
Chmelík, Jiří ; Flusser,, Jan (referee) ; Kozubek, Michal (referee) ; Jan, Jiří (advisor)
The aim of this work was the development of algorithms for detection segmentation and classification of difficult to define bone metastatic cancerous lesions from spinal CT image data. For this purpose, the patient database was created and annotated by medical experts. Successively, three methods were proposed and developed; the first of them is based on the reworking and combination of methods developed during the preceding project phase, the second method is a fast variant based on the fuzzy k-means cluster analysis, the third method uses modern machine learning algorithms, specifically deep learning of convolutional neural networks. Further, an approach that elaborates the results by a subsequent random forest based meta-analysis of detected lesion candidates was proposed. The achieved results were objectively evaluated and compared with results achieved by algorithms published by other authors. The evaluation was done by two objective methodologies, technical voxel-based and clinical object-based ones. The achieved results were subsequently evaluated and discussed.
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Casuistry of physiotherapy care of patient after plastic reconstruction of anterior and posterior cruciate ligament of knee joint
Vrablíková, Gabriela ; Říha, Michal (advisor) ; Hlavičková, Růžena (referee)
Title: Casuistry of physiotherapy care of patient after plastic reconstruction of anterior and posterior cruciate ligament of knee joint Objectives: To summarise theoretic knowledge about knee joint soft structures injury and the possibilities of its therapy, especially physiotherapy care after plastic reconstruction of the ligaments. Then, to present casuistry of the patient after plastic reconstruction of anterior and posterior cruciate ligament. Summary: Thesis consists of two parts - general and special. In the general part, theoretic information about injuries of soft structures of the knee joint is summarised, as well as overview of posibilities of its examination (especially special tests) and therapy, both conservative and operative. The special part presents a casuistry of physiotherapy care of patient after plastic reconstruction of anterior and posterior ligament of the knee joint. Author worked with this patient while practising in Military University Hospital in Prague, since 2014-01-21 to 2014-01-31. By the means of special rehabilitation we achieve in operated knee joint decreasing of swelling, increasing of range of motion, strenghtening of weakened muscles, restoration of joint play and improving of other parameters. Thus we achieve overall better dynamic stabilization of operated...
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The Way of the Client after Spinal Cord Injury
Kohoutková, Lucie ; Stretti, Sylvie (advisor) ; Ondrušová, Jiřina (referee)
The aim of this work is to show what humane after spinal cord injury get through and what is the impact of acquired disability in the future. First, I discuss the level of health and physical consequences of the spinal cord injury. The following chapter is focused on the psychosocial impact of injuries and subsequent paralysis. On the section describing the body and mind follows the third chapter that focuses on hospital and rehabilitation care. The fourth chapter is devoted to social work with clients after spinal cord injury and the last chapter deals with life after the accident when a client is discharged from hospital and rehabilitation facilities, and begins a new life. To illustrate the issue I applied a case report of a woman after the accident and evaluate questionnaires that I sent people after an accident with a higher degree of disability.
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Case study of physiotherapy treatment of a patient with the diagnosis: the anterior cruciate ligament of the knee joint reconstruction
Hájek, Tomáš ; Novotná, Irena (advisor) ; Křížková, Štěpánka (referee)
Title: Case study of physiotherapy treatment of a patient with the diagnosis: the anterior cruciate ligament of the knee joint reconstruction. Objective: Summary of theoretical knowledge and processing of study reports of a patient with the diagnosis: the anterior cruciate ligament of the knee joint reconstruction. Abstract: This thesis consists of two parts. The general section includes anatomical and biomechanical aspects of anterior cruciate ligament, as well as epidemiology, diagnosis, the most common causes and treatment of rupture of the anterior cruciate ligament. The special section includes the case study regarding the physiotherapy treatment of the patient. Therapy was focused mainly on the patient's knee joint stability restoration. The case study was prepared at the time of the author's practice, from 14th February to 2nd March 2011, at the ambulance department of the Regional hospital in Kladno. The Ethics Committee expressed its positive attitude towards the case study. The original version can be found in the Annex, as well as the informed consent template. The signed original of the consent is in the author's possession. Keywords: Ligamentum cruciatum anterior, knee joint, anatomy, biomechanics, instability, rupture, damage.
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