TULSA / Prostatakrebs
Themenschwerpunkte seines Studiums waren Astrophysik sowie Medizinische Physik. Abteilungsleiter von bis Dort arbeitete er in verschiedenen Projekten im Bereich der medizinischen Bildverarbeitung: Ultraschall, medizinische Navigationssysteme sowie Analyse von Herzbilddaten. Fokus der aktuellen Arbeiten sind bildgestützte Eingriffe und Chirurgie, Ultraschall-Anwendungen für Diagnose und Planung, statistische Modellierung von Organen sowie Simulation und Planung für medizinischer Anwendungen.
In vivo estimates of tibiotalar and the subtalar joint kinematics can unveil unique information about gait biomechanics, especially in the presence of musculoskeletal disorders affecting the foot and ankle complex.
Previous literature investigated the ankle kinematics on ex vivo data sets, but little has been reported for natural walking, and even less for pathological and juvenile populations. This paper proposes an MRI-based morphological fitting methodology for the personalised definition of the tibiotalar and the subtalar joint axes during gait, and investigated its application to characterise the Verkalkungen in der Prostata Video kinematics in twenty patients affected by Juvenile Idiopathic Arthritis JIA.
The model allowed to investigate, for the first time in patients with JIA, the functional response to joint impairment. The heterogeneous and patient-specific nature of the effects of JIA was confirmed by the absence of a correlation between a semi-quantitative MRI-based impairment score and a variety of investigated joint kinematics indexes.
In conclusion, this study showed the feasibility of using MRI and morphological fitting to identify the tibiotalar and subtalar joint axes in a non-invasive patient-specific manner. The proposed methodology represents an innovative and reliable approach to the analysis of the ankle joint Verkalkungen in der Prostata Video in pathological juvenile populations.
Artikel ansehen. The nasal cavity and paranasal sinuses present large interpatient variabilities. Additional circumstances like for example, concha bullosa or nasal septum deviations complicate their segmentation. As in other areas of the body a previous multistructure detection could facilitate the segmentation task. In this paper Verkalkungen in der Prostata Video approach is proposed to individually detect all sinuses and the nasal cavity.
For a better delimitation of their borders the use of an irregular polyhedron is proposed. For an accurate prediction the Darknet deep neural network is used which combined with the You Only Look Once method has shown very promising results in other fields of computer vision. Juvenile Idiopathic Arthritis JIA is a paediatric musculoskeletal disease of unknown aetiology, leading to walking alterations when the lower-limb joints are involved.
Diagnosis of JIA is mostly clinical. Imaging can quantify impairments associated to inflammation and joint damage. However, treatment planning could be better supported using dynamic information, such as joint contact forces JCFs. Gait analysis data and magnetic resonance images MRI were used to develop patient-specific lower-limb musculoskeletal models, which were evaluated for operator-dependent variability Artikel ansehen. The autoimmune disease Juvenile Idiopathic Arthritis JIA affects children of under 16 years and leads to the symptom of inflamed synovial membranes in affected joints.
In clinical practice, characteristics of these inflamed membranes are used to stage the disease progression and to predict erosive bone Verkalkungen in der Prostata Video.
Manual outlining of inflammatory regions in each slide of a MRI dataset is still the gold standard for detection and quantification, however, this process is very tiresome and time-consuming. In addition, the inter- and intra-observer variability is a known problem of human annotators. We have developed the first method to detect inflamed regions in and around major joints in the human ankle. First, we use an adapted coupled shape model framework to segment the ankle bones in a MRI dataset.
Based on these segmentations, joints are defined as locations where two bones are particularly close to each other. A number of potential inflammation candidates are generated using multi-level thresholding. Since it is known that inflamed synovial membranes occur in the proximity of joints, we filter out structures with similar intensities such as vessels Verkalkungen in der Prostata Video tendons sheaths using not only a vesselness filter, Verkalkungen in der Prostata Video also their distance to the joints and their size.
The method has been evaluated on a set of 10 manually annotated clinical MRI datasets and achieved the following results: Precision 0. Deep neural Verkalkungen in der Prostata Video have achieved significant success in medical image segmentation in recent years.
However, poor contrast to surrounding tissues and high flexibility of anatomical structure of the interest object are still challenges. On the other hand, statistical shape model based approaches have demonstrated promising performance on exploiting complex shape variabilities but they are sensitive to localization and initialization.
This motivates us to leverage the rich shape priors learned from statistical shape models to improve the segmentation of deep neural networks. In this work, we propose a novel Bayesian model incorporating the segmentation results from both deep neural network and statistical shape model for Verkalkungen in der Prostata Video. In evaluation, experiments are performed on 82 CT datasets of the challenging public NIH pancreas dataset.
We report International Workshop on OR 2. Cephalometric Verkalkungen in der Prostata Video is an important tool used by dentists for diagnosis and treatment of patients. Tools that could automate this time consuming task would be of great assistance.
In order to provide the dentist with such tools, a robust and accurate identification of the necessary landmarks is required. However, poor image quality of lateral cephalograms like low contrast or noise as well as duplicate structures resulting from the way these images are acquired make this task difficult.
In this paper, a fully automatic approach for teeth segmentation is presented that aims to support the identification Verkalkungen in der Prostata Video dental landmarks.
Experimental results on a set of 14 test images show promising results with a DICE overlap of Dental panoramic radiographs depict the full set of teeth in a single image and are used by dentists as a popular first tool for diagnosis. In order to provide the dentist with automatic diagnostic support, a robust and accurate segmentation of the individual teeth is required. However, poor image quality of panoramic x-ray images like low contrast or noise as well as teeth variations in between patients make this task difficult.
In this paper, a fully automatic approach is presented that uses a coupled shape model in conjunction with a neural network to overcome these challenges. The network provides a preliminary segmentation of the teeth region which is used to initialize the coupled shape model in terms of position and scale.
The segmentation quality of the approach is assessed by comparing the generated results to manually created goldstandard segmentations of the individual teeth.
Experimental results on a set of 14 test images Verkalkungen in der Prostata Video average precision and recall values of 0. In this paper we introduce a novel augmented-reality AR system for the sentinel lymph node SLN biopsy. The AR system consists of a cubic recording device with integrated stereo near-infrared NIR and stereo color cameras, an head mounted display HMD for visualizing the SLN information directly into the physicians view and a controlling software application.
The dye accumulates in the SLN where it is excited to fluorescence by applying infrared light. The fluorescence is recorded from two directions by the NIR stereo cameras using appropriate filters.
Applying the known rigid camera geometry, an ICG depth map can be generated from the camera images, thus creating a live 3D representation of the SLN. The representation is then superimposed to the physicians field of view, by applying a series of coordinate system transformations, that are determined in four separate system Verkalkungen in der Prostata Video steps. To compensate for the head motion, the recording systems is continuously tracked by a single camera on the HMD Verkalkungen in der Prostata Video fiducial markers.
Because the system does not require additional monitors, the physicians attention is kept solely on the operation site. This can potentially decrease the intervention time and render the procedure safer for the patient.
After a liver tumor intervention the medical doctor has to compare both pre and postoperative CT acquisitions to ensure that all carcinogenic cells are destroyed. A correct assessment of the intervention is of vital importance, since it will reduce the probability of tumor recurrence.
Some methods have been proposed to support the medical doctors during the assessment process, however, all of them focus on secondary tumors. In this paper a tool is presented that enables the outcome validation for both primary and secondary tumors. Therefore, a multiphase registration preoperative arterial and portal phases followed by a registration between the pre and postoperative CT images is carried out.
The first registration is in charge of the primary tumors that are only visible in the arterial phase. The secondary tumors will be incorporated in the second registration step.
Finally, the part of the tumor that was not covered by the necrosis is quantified and visualized. The method has been tested in 9 patients, with an average registration error of 1. The generation of subject-specific musculoskeletal models of the lower limb has become a feasible task thanks to improvements in medical imaging technology and musculoskeletal modelling software. Nevertheless, clinical use of these models in paediatric applications is still limited for Verkalkungen in der Prostata Video concerns the estimation of muscle and joint contact forces.
Aiming to improve the current state of the art, a methodology to generate highly personalized subject-specific musculoskeletal models of the lower limb based on magnetic resonance imaging MRI scans was codified as a step-by-step procedure and applied to data from eight juvenile individuals. The generated musculoskeletal models were used to simulate gait trials using Verkalkungen in der Prostata Video and force platform data as input.
Reported results represent the first comprehensive subject-specific model-based characterization of juvenile gait biomechanics, including profiles of joint kinematics and kinetics, muscle forces and joint contact Verkalkungen in der Prostata Video. Our findings suggest that, when musculotendon parameters were linearly scaled from a reference model and the muscle force-length-velocity relationship was accounted for in the simulations, realistic knee contact forces could be estimated and these forces were not sensitive the method used to compute muscle maximum isometric force.
Stoyanov, Danail [Ed. Emre [Ed. The visualization and analysis of electronic health records EHRs are becoming increasingly relevant for clinical researchers. While the digitization of medical images is general practice today, many clinics are just starting to build up database with the related patient data, patient histories, and treatment outcomes.
This paper reports on a project with a medical group of ear, nose, and throat ENT specialists. It combines medical image analysis and Radiomics with visual analytics of patient data to build, analyze, and evaluate patient cohorts. The combined visual interface for both browsing and analyzing patient data was developed in collaboration with the medical researchers. In addition to offering a new way of cohort building, our approach also provides a first comprehensive view on the EHR, including the relevant anatomy of patients.
The purpose of this paper is to present an outcome validation tool for tumor radiofrequency RF ablation and resection. Methods: Intervention assessment tools require an accurate registration of both pre- and postoperative computed tomographies able to handle big deformations. Therefore, a physics-based method is proposed with that purpose. To increase the accuracy both automatically detected internal and surface physical landmarks are incorporated in the registration process.
Results: The algorithm has been evaluated in 25 clinical datasets containing RF ablations, resections, and patients with recurrent tumors. The achieved accuracy is 1. Conclusion: The use of internal and surface landmarks combined with a physics-based registration method increases the accuracy of the results compared to the accuracy of state of the art methods.
An accurate outcome validation tool is important in order to certify that the tumor and its safety margin were fully covered by the treatment.
Significance: An accurate outcome validation tool can result in a decrease of Verkalkungen in der Prostata Video tumor recurrence rate. Ultrasound Verkalkungen in der Prostata Video a useful and readily available Verkalkungen in der Prostata Video tool.
The big challenge in acquiring a good ultrasound image are possible shadow artefacts that hide anatomical structures. This applies in particular to 3D ultrasound acquisitions, because shadow artefacts may be recorded outside the visualized image plane. There are only a few automatic methods for shadow artefact detection.