Relevant bibliographies by topics / 4D dynamická CT data

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic '4D dynamická CT data'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "4D dynamická CT data"

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Ehrhardt, J., T. Frenzel, D. Säring, W. Lu, D. Low, H. Handels, and R. Werner. "Motion Artifact Reducing Reconstruction of 4D CT Image Data for the Analysis of Respiratory Dynamics." Methods of Information in Medicine 46, no. 03 (2007): 254–60. http://dx.doi.org/10.1160/me9040.

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Summary Objectives: Respiratory motion represents a major problem in radiotherapy of thoracic and abdominal tumors. Methods for compensation require comprehensive knowledge of underlying dynamics. Therefore, 4D (= 3D + t) CT data can be helpful. But modern CT scanners cannot scan a large region of interest simultaneously. So patients have to be scanned in segments. Commonly used approaches for reconstructing the data segments into 4D CT images cause motion artifacts. In orderto reduce the artifacts, a new method for 4D CT reconstruction is presented. The resulting data sets are used to analyze respiratory motion. Methods: Spatiotemporal CT image sequences of lung cancer patients were acquired using a multi-slice CT in cine mode during free breathing. 4D CT reconstruction was done by optical flow based temporal interpolation. The resulting 4D image data were compared with data generated bythe commonly used nearest neighbor reconstruction. Subsequent motion analysis is mainly concerned with tumor mobility. Results: The presented optical flow-based method enables the reconstruction of 3D CT images at arbitrarily chosen points of the patient’s breathing cycle. A considerable reduction of motion artifacts has been proven in eight patient data sets. Motion analysis showed that tumor mobility differs strongly between the patients. Conclusions: Due to the proved reduction of motion artifacts, the optical flow-based 4D CT reconstruction offers the possibility of high-quality motion analysis. Because the method is based on an interpolation scheme, it additionally has the potential to enable the reconstruction of 4D CT data from a lesser number of scans.
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Gill, Gurman, and Reinhard R. Beichel. "Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching." International Journal of Biomedical Imaging 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/125648.

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Dynamic and longitudinal lung CT imaging produce 4D lung image data sets, enabling applications like radiation treatment planning or assessment of response to treatment of lung diseases. In this paper, we present a 4D lung segmentation method that mutually utilizes all individual CT volumes to derive segmentations for each CT data set. Our approach is based on a 3D robust active shape model and extends it to fully utilize 4D lung image data sets. This yields an initial segmentation for the 4D volume, which is then refined by using a 4D optimal surface finding algorithm. The approach was evaluated on a diverse set of 152 CT scans of normal and diseased lungs, consisting of total lung capacity and functional residual capacity scan pairs. In addition, a comparison to a 3D segmentation method and a registration based 4D lung segmentation approach was performed. The proposed 4D method obtained an average Dice coefficient of0.9773±0.0254, which was statistically significantly better (pvalue≪0.001) than the 3D method (0.9659±0.0517). Compared to the registration based 4D method, our method obtained better or similar performance, but was 58.6% faster. Also, the method can be easily expanded to process 4D CT data sets consisting of several volumes.
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Ghariq, Elyas, Adriënne M. Mendrik, Peter W. A. Willems, Raoul M. S. Joemai, Eidrees Ghariq, Evert-jan Vonken, Matthias J. P. van Osch, and Marianne A. A. van Walderveen. "Total Bolus Extraction Method Improves Arterial Image Quality in Dynamic CTAs Derived from Whole-Brain CTP Data." BioMed Research International 2014 (2014): 1–6. http://dx.doi.org/10.1155/2014/603173.

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Background and Purposes. The 320-detector row CT scanner enables visualization of whole-brain hemodynamic information (dynamic CT angiography (CTA) derived from CT perfusion scans). However, arterial image quality in dynamic CTA (dCTA) is inferior to arterial image quality in standard CTA. This study evaluates whether the arterial image quality can be improved by using a total bolus extraction (ToBE) method.Materials and Methods. DCTAs of 15 patients, who presented with signs of acute cerebral ischemia, were derived from 320-slice CT perfusion scans using both the standard subtraction method and the proposed ToBE method. Two neurointerventionalists blinded to the scan type scored the arterial image quality on a 5-point scale in the 4D dCTAs in consensus. Arteries were divided into four categories: (I) large extradural, (II) intradural (large, medium, and small), (III) communicating arteries, and (IV) cerebellar and ophthalmic arteries.Results. Quality of extradural and intradural arteries was significantly higher in the ToBE dCTAs than in the standard dCTAs (extraduralP=0.001, large intraduralP<0.001, medium intraduralP<0.001, and small intraduralP<0.001).Conclusion. The 4D dCTAs derived with the total bolus extraction (ToBE) method provide hemodynamic information combined with improved arterial image quality as compared to standard 4D dCTAs.
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Carr, Renee, Simon MacLean, John Slavotinek, and Gregory Bain. "Four-Dimensional Computed Tomography Scanning for Dynamic Wrist Disorders: Prospective Analysis and Recommendations for Clinical Utility." Journal of Wrist Surgery 08, no. 02 (November 14, 2018): 161–67. http://dx.doi.org/10.1055/s-0038-1675564.

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Background Four-dimensional computed tomography (4D CT) is a rapidly developing diagnostic tool in the assessment of dynamic upper limb disorders. Functional wrist anatomy is incompletely understood, and traditional imaging methods are often insufficient in the diagnosis of dynamic disorders. Technique This study has developed a protocol for 4D CT of the wrist, with the aim of reviewing the clinical utility of this technology in surgical assessment. A Toshiba Aquilion One Vision scanner was used in the protocol, in which two- and three-dimensional “static” images, as well as 4D “dynamic” images were produced and assessed in the clinical context of each patient. These consisted of a series of multiple 7-second movement clips exploring the nature and range of joint motion. Patients and Methods Nineteen patients with symptoms of dynamic instability were included in the study. Patients were assessed clinically by two orthopaedic surgeons, and qualitative data were obtained from radiological interpretation. Results The study demonstrated varied abnormalities of joint movement attributed to a range of wrist pathology, including degenerative arthritis, ligamentous injuries, Kienbock's disease, and pain following previous surgical reconstructive procedures. Interpretation of the 4D CT scan changed the clinical diagnosis in 13 cases (68.4%), including the primary (15.8%) or secondary diagnosis (52.6%). In all cases, the assessment of the dynamic wrist motion assisted in understanding the clinical problem and led to a change in management in 11 cases (57.9%). The mean effective radiation dose for the scan was calculated at 0.26 mSv. Conclusion We have found that the clinical utility of 4D CT lies in its ability to provide detailed information about dynamic joint pathology not seen in traditional imaging, targeting surgical treatment. Limitations to the use of 4D CT scan include lack of availability of the technology, potential radiation dose, and radiographer training requirements, as well as limited understanding of the nature of normal motion.
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Choi, Sanghun, Sujin Yoon, Jichan Jeon, Chunrui Zou, Jiwoong Choi, Merryn H. Tawhai, Eric A. Hoffman, et al. "1D network simulations for evaluating regional flow and pressure distributions in healthy and asthmatic human lungs." Journal of Applied Physiology 127, no. 1 (July 1, 2019): 122–33. http://dx.doi.org/10.1152/japplphysiol.00016.2019.

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This study aimed to introduce a one-dimensional (1D) computational fluid dynamics (CFD) model for airway resistance and lung compliance to examine the relationship between airway resistance, pressure, and regional flow distribution. We employed five healthy and five asthmatic subjects who had dynamic computed tomography (CT) scans (4D CT) along with two static scans at total lung capacity and functional residual capacity. Fractional air-volume change ([Formula: see text]) from 4D CT was used for a validation of the 1D CFD model. We extracted the diameter ratio from existing data sets of 61 healthy subjects for computing mean and standard deviation (SD) of airway constriction/dilation in CT-resolved airways. The lobar mean (SD) of airway constriction/dilation was used to determine diameters of CT-unresolved airways. A 1D isothermal energy balance equation was solved, and pressure boundary conditions were imposed at the acinar region ( model A) or at the pleural region ( model B). A static compliance model was only applied for model B to link acinar and pleural regions. The values of 1D CFD-derived [Formula: see text] for model B demonstrated better correlation with 4D CT-derived [Formula: see text] than model A. In both inspiration and expiration, asthmatic subjects with airway constriction show much greater pressure drop than healthy subjects without airway constriction. This increased transpulmonary pressures in the asthmatic subjects, leading to an increased workload (hysteresis). The 1D CFD model was found to be useful in investigating flow structure, lung hysteresis, and pressure distribution for healthy and asthmatic subjects. The derived flow distribution could be used for imposing boundary conditions of 3D CFD. NEW & NOTEWORTHY A one-dimensional (1D) computational fluid dynamics (CFD) model for airway resistance and lung compliance was introduced to examine the relationship between airway resistance, pressure, and regional flow distribution. The 1D CFD model investigated differences of flow structure, lung hysteresis, and pressure distribution for healthy and asthmatic subjects. The derived flow distribution could be used for imposing boundary conditions of three-dimensional CFD.
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Denby, C. E., K. Chatterjee, R. Pullicino, S. Lane, M. R. Radon, and K. V. Das. "Is four-dimensional CT angiography as effective as digital subtraction angiography in the detection of the underlying causes of intracerebral haemorrhage: a systematic review." Neuroradiology 62, no. 3 (January 4, 2020): 273–81. http://dx.doi.org/10.1007/s00234-019-02349-z.

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Abstract Purpose To determine whether the sensitivity and specificity of four-dimensional CTA (4D-CTA) are equivalent to digital subtraction angiography (DSA) in the detection of underlying vascular abnormalities in patients with intracerebral haemorrhage (ICH). Methods A systematic review of studies comparing 4D-CTA with DSA in the detection of the underlying structural causes of ICH was performed on the literature published between 1998 and 2019. Results We identified a total of 237 articles from PubMed, SCOPUS and Web of Science using the following Medical Subject Headings (MeSH) terms: primary intracerebral haemorrhage, 4D-CTA, DSA, cerebral haemorrhage, angiography, digital subtraction, arteriovenous malformations, 4D, CTA, dynamic-CTA and time-resolved CTA. Following the removal of duplicate publications and articles failing to meet our inclusion criteria, there were four articles potentially viable for analysis. Therefore, there were not sufficient studies to provide a statistically meaningful meta-analysis. Conclusion The review of current literature has demonstrated that there are few published studies comparing 4D-CTA with DSA in spontaneous ICH, with only four suitable studies identified for potential analysis. However, due to the restricted number of patients and high sensitivity and specificity of 3 studies (100%), performing a meta-analysis was not meaningful. Qualitative analysis of the data concluded that 4D-CTA has the diagnostic potential to replace invasive DSA in certain cases with vascular abnormalities. However, further research studies directly comparing 4D-CTA with DSA using larger prospective patient cohorts are required to strengthen the evidence base.
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Albrecht, Moritz, Thomas Vogl, Julian Wichmann, Simon Martin, Jan-Erik Scholtz, Sebastian Fischer, Renate Hammerstingl, et al. "Dynamic 4D-CT Angiography for Guiding Transarterial Chemoembolization: Impact on the Reduction of Contrast Material, Operator Radiation Exposure, Catheter Consumption, and Diagnostic Confidence." RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 190, no. 06 (May 15, 2018): 513–20. http://dx.doi.org/10.1055/a-0595-7964.

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Purpose This study was carried out to investigate the impact of abdominal dynamic four-dimensional CT angiography (4D-CTA) for guiding transarterial chemoembolization (TACE) on the amount of contrast material used, operator radiation exposure, catheter consumption, and diagnostic confidence. Materials and Methods Written consent was waived for this IRB-approved retrospective study. 29 patients (20 men; mean age: 65.7 ± 11.5 years) with malignant liver lesions underwent 4D-CTA, prior to initial TACE. Time-resolved volume-rendering technique (VRT), maximum-intensity projection (MIP), and multiplanar reconstruction (MPR) series were reconstructed, enabling a direct selective catheterization of the tumor-supplying artery without prior conventional digital subtraction angiography (DSA). 29 patients (16 men; mean age: 69.4 ± 13.9) who underwent traditional TACE served as the control group. The amount of administered contrast media, operator radiation exposure, and catheter consumption during TACE were compared. Two radiologists assessed diagnostic confidence in the exclusion of portal vein thrombosis. Results 4D-CTA TACE resulted in a significant reduction in the amount of contrast media used, compared to traditional TACE (–61.0 ml/ –66.3 % intra-arterial, –12.8 ml/ –13.8 % overall; P < 0.001). The dose-area product indicating operator radiation exposure during intervention was reduced by 50.5 % (P < 0.001), and 0.7 fewer catheters on average were used (P = 0.063), while 4D-CTA data was available to guide TACE. Diagnostic confidence in the exclusion of portal vein thrombosis was significantly enhanced by 4D-CTA, compared to traditional DSA images (scores, 3.9 and 2.4, respectively; P < 0.001). Conclusion Dynamic 4D-CTA enables TACE with a substantially reduced amount of contrast material, decreases operator radiation exposure, and increases diagnostic confidence in the exclusion of portal vein thrombosis. Key points Citation Format
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Kim, F. H., D. Penumadu, P. Patel, X. Xiao, E. J. Garboczi, S. P. Moylan, and M. A. Donmez. "Synchrotron 4-dimensional imaging of two-phase flow through porous media." MRS Advances 1, no. 40 (2016): 2757–61. http://dx.doi.org/10.1557/adv.2016.505.

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ABSTRACTNear real-time visualization of complex two-phase flow in a porous medium was demonstrated with dynamic 4-dimensional (4D) (3D + time) imaging at the 2-BM beam line of the Advanced Photon Source (APS) at Argonne National Laboratory. Advancing fluid fronts through tortuous flow paths and their interactions with sand grains were clearly captured, and formations of air bubbles and capillary bridges were visualized. The intense X-ray photon flux of the synchrotron facility made 4D imaging possible, capturing the dynamic evolution of both solid and fluid phases. Computed Tomography (CT) scans were collected every 12 s with a pixel size of 3.25 μm. The experiment was carried out to improve understanding of the physics associated with two-phase flow. The results provide a source of validation data for numerical simulation codes such as Lattice-Boltzmann, which are used to model multi-phase flow through porous media.
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Garreau, Mireille, Antoine Simon, Dominique Boulmier, Jean-Louis Coatrieux, and Hervé Le Breton. "Assessment of Left Ventricular Function in Cardiac MSCT Imaging by a 4D Hierarchical Surface-Volume Matching Process." International Journal of Biomedical Imaging 2006 (2006): 1–10. http://dx.doi.org/10.1155/ijbi/2006/37607.

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Multislice computed tomography (MSCT) scanners offer new perspectives for cardiac kinetics evaluation with 4D dynamic sequences of high contrast and spatiotemporal resolutions. A new method is proposed for cardiac motion extraction in multislice CT. Based on a 4D hierarchical surface-volume matching process, it provides the detection of the heart left cavities along the acquired sequence and the estimation of their 3D surface velocity fields. A Markov random field model is defined to find, according to topological descriptors, the best correspondences between a 3D mesh describing the left endocardium at one time and the 3D acquired volume at the following time. The global optimization of the correspondences is realized with a multiresolution process. Results obtained on simulated and real data show the capabilities to extract clinically relevant global and local motion parameters and highlight new perspectives in cardiac computed tomography imaging.
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Mitha, Alim P., Benjamin Reichardt, Michael Grasruck, Eric Macklin, Soenke Bartling, Christianne Leidecker, Bernhard Schmidt, et al. "Dynamic imaging of a model of intracranial saccular aneurysms using ultra-high-resolution flat-panel volumetric computed tomography." Journal of Neurosurgery 111, no. 5 (November 2009): 947–57. http://dx.doi.org/10.3171/2009.2.jns08828.

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Object Imaging of intracranial aneurysms using conventional multidetector CT (MDCT) is limited because of nonvisualization of features such as perforating vessels, pulsatile blebs, and neck remnants after clip placement or coil embolization. In this study, a model of intracranial saccular aneurysms in rabbits was used to assess the ultra-high resolution and dynamic scanning capabilities of a prototype flat-panel volumetric CT (fpVCT) scanner in demonstrating these features. Methods Ten New Zealand white rabbits underwent imaging before and after clipping or coil embolization of surgically created aneurysms in the proximal right carotid artery. Imaging was performed using a prototype fpVCT scanner, a 64-slice MDCT scanner, and traditional catheter angiography. In addition to the slice data and 3D views, 4D dynamic views, a capability unique to fpVCT, were also created and reviewed. The images were subjectively compared on 1) 4 image quality metrics (spatial resolution, noise, motion artifacts, and aneurysm surface features); 2) 4 posttreatment features reflecting the metal artifact profile of the various imaging modalities (visualization of clip or coil placement, perianeurysmal clip/coil anatomy, neck remnant, and white-collar sign); and 3) 2 dynamic features (blood flow pattern and aneurysm pulsation). Results Flat-panel volumetric CT provided better image resolution than MDCT and was comparable to traditional catheter angiography. The surface features of aneurysms were demonstrated with much higher resolution, detail, and clarity by fpVCT compared with MDCT and angiography. Flat-panel volumetric CT was inferior to both MDCT and angiography in terms of image noise and motion artifacts. In fpVCT images, the metallic artifacts from clips and coils were significantly fewer than those in MDCT images. As a result, clinically important information about posttreatment aneurysm neck remnants could be derived from fpVCT images but not from MDCT images. Time-resolved dynamic sequences were judged slightly inferior to conventional angiography but superior to static MDCT images. Conclusions The spatial resolution, surface anatomy visualization, metal artifact profile, and 4D dynamic images from fpVCT are superior to those from MDCT. Flat-panel volumetric CT demonstrates aneurysm surface features to better advantage than angiography and is comparable to angiography in metal artifact profile. Even though the temporal resolution of fpVCT is not quite as good as that of angiography, fpVCT images yield clinically important anatomical information about aneurysm surface features and posttreatment neck remnants not attainable with either angiography or MDCT images.
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Dissertations / Theses on the topic "4D dynamická CT data"

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Jakubíček, Roman. "Korekce pohybu v hrudních dynamických kontrastních CT datech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220059.

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This thesis deals with a nonrigid image registration for movement correction in thoracic dynamic contrast CT data. The deformation field is initialized by the analysis of disparities based on nonlinear matched filter, which defines local movement deformation. The values of control points are optimized by the Nelder-Mead method. The transformation model is based on a 4D (3D + time) free-form B-spline deformation for feature of movement distortion. The first part of the thesis briefly discusses the theory of image registration. Knowledge of this theory is necessary for understanding the remaining chapters, which describe the proposed method and its realization. The large part of this thesis is devoted to the geometrical image transformations, that is very important for the image registration. The thesis also describes a simplex method for function minimization. Three publicated methods of registration of medical 4D CT data are given. In the following chapter are individual parts of the purposed nonrigid registration including possible problems and their solution described.
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Stroian, Gabriela. "Optimized scanning procedures for 4D CT data acquisition in radiation therapy." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=84077.

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The goal of conformal radiation techniques is to improve local tumor control through dose escalation to target volumes while at the same time sparing surrounding healthy tissue. Accurate target volume delineation is essential in achieving this goal to avoid inadequate tumor coverage and/or irradiation of an unnecessary volume of healthy tissue. Respiratory motion is known to be the largest intra-fractional organ motion and the most significant source of uncertainty in treatment planning for chest lesions. A method to minimize effects of respiratory motion is to use four-dimensional (4D) radiotherapy.
A novel scanning procedure for 4D CT data acquisition is described in this work. Three single-slice helical scans are acquired simultaneously with the real-time tracking of several markers placed on a moving phantom. At the end of the three scans. CT data is binned into different respiratory phases according to the externally recorded respiratory signal and the scanned volume is reconstructed for several respiratory phases. The 4D CT images obtained show an overall improvement when compared to conventional CT images of a moving phantom.
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Hsin-Ya, Ko, and 柯馨雅. "Fully Automatic 4D registration and fusion of 3D CT and MRI data of the spine regions." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/46754305212093581349.

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碩士
國立臺灣科技大學
醫學工程研究所
105
This paper presents an fully automatic registration and fusion system of 3D CT and 3D MRI datasets of the spine regions. The automatic system is consisted of a spine detection method, a landmark detection approach, a corresponding landmark detection model and an elastic 4D registration approach. In evaluation, a preliminary test has been conducted to compare nine registration methods with the presented registration approaches using five manually identified corresponding landmarks, and the top two benchmark methods with high registration accuracies and computing speed are selected as the benchmark methods for full evaluation.Next, using the outputs of the proposed automatic corresponding landmark detection approach, we compare the proposed three registration methods with the selected top two benchmark methods to identify the optimal 4D alignment method. Then, we compare the performance of the same registration model using manually selected corresponding landmarks versus using our automatic landmark detection results. Full evaluation utilizes fifteen manually similar anatomic features on CT and MRI spine images to calculate the average distance error for qualitative comparative analysis.Specifically, for the benchmark method with 3D CT and MR datasets of the spine regions, the first datasets achieved for a mean distance error of 12.9128 pixels(<6mm) and for second datasets a mean distance error of 5.7344 pixels(<6mm). With use of a two-tailed Student t test for paired samples in the comparing the fully automatic registration and semi-automatic registration. For the both datasets there were no significant difference in the automatic registration when compared with a semi-automatic registration(where p > 0.05). The results show that we presented registration method perform the proposed method is significantly better than top two benchmark methods (p $\leq$ 0.001). In addition, the results show that the registration accuracy of the registration method using the automatic detected corresponding landmarks is similar to the method using the manually identified landmarks.
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Gosno, Eric Budiman, and 吳孝宗. "Elastic Image Registration with Applications of 2D/3D Alignment of Microscopic Images and 4D Registration of CT and MRI Data." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/07783180106316570490.

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碩士
國立臺灣科技大學
醫學工程研究所
104
Within the current clinical setting and healthcare technology development, medical imaging is a vital component of a large number of medical application and health diagnosis. Since information gained from two images acquired in the clinical track of events is usually of a complementary nature, proper integration of useful data obtained from the separate images are often desired. The first step in this integration process is to bring the modalities involved into spatial alignment, a procedure referred to as image registration. The intent of image registration is to align images with respect to each other. The input for this process is two images: the original image is known as the template/ reference image while the image that will be aligned with the respect of template/ reference image is known as the target image. In this research the application of various automated image registration framework for solving multi-dimensional medical image registration problems are presented which consisting of image registration for multiple protein maps at single cell resolution , 3-dimensional serial section microscopy images, and multimodal image registration on 3-dimensional CT and MRI image.
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Book chapters on the topic "4D dynamická CT data"

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Zhang, Yu, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen, and Dinggang Shen. "Non-local Means Resolution Enhancement of Lung 4D-CT Data." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012, 214–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33415-3_27.

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Fang, Ruogu, Ming Ni, Junzhou Huang, Qianmu Li, and Tao Li. "Efficient 4D Non-local Tensor Total-Variation for Low-Dose CT Perfusion Deconvolution." In Medical Computer Vision: Algorithms for Big Data, 168–79. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42016-5_16.

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Dinse, Juliane, Daniela Wellein, Matthias Pfeifle, Silvia Born, Thilo Noack, Matthias Gutberlet, Lukas Lehmkuhl, Oliver Burgert, and Bernhard Preim. "Extracting the Fine Structure of the Left Cardiac Ventricle in 4D CT Data." In Bildverarbeitung für die Medizin 2011, 264–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19335-4_55.

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Mendrik, Adriënne M., Evert-jan Vonken, Theo Witkamp, Mathias Prokop, Bram van Ginneken, and Max A. Viergever. "Using the Fourth Dimension to Distinguish Between Structures for Anisotropic Diffusion Filtering in 4D CT Perfusion Scans." In Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, 79–87. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14905-9_7.

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Werner, R., J. Ehrhardt, A. Schmidt-Richberg, B. Bodmann, F. Cremers, and H. Handels. "Dose Accumulation based on Optimized Motion Field Estimation using Non-Linear Registration in Thoracic 4D CT Image Data." In IFMBE Proceedings, 950–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03882-2_253.

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Schmidt-Richberg, A., J. Ehrhardt, R. Werner, and H. Handels. "Evaluation and Comparison of Force Terms for the Estimation of Lung Motion by Non-linear Registration of 4D-CT Image Data." In IFMBE Proceedings, 2128–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03882-2_565.

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Conference papers on the topic "4D dynamická CT data"

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Metaxa, Eleni, Vasileios Vavourakis, Nikolaos Kontopodis, Konstantinos Pagonidis, Christos V. Ioannou, and Yannis Papaharilaou. "Abdominal Aortic Aneurysm Rupture Risk Assessment Exploiting Dynamic (4D) CT Based Wall Motion Data and Finite Element Analysis." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14509.

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Abdominal aortic aneurysm (AAA) disease is primarily a degenerative process, where rupture occurs when stress exerted on the aortic wall exceeds its failure strength. Therefore, knowledge of both the wall stress distribution and the mechanical properties of the AAA wall is required for patient specific rupture risk estimation.
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Seyfi, Behnaz, Anand P. Santhanam, and Olusegun J. Ilegbusi. "Application of Fusion Algorithm to Human Lung Dynamics." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86407.

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This paper integrates computational fluid dynamics (CFD) and radiotherapy data for accurate simulation of spatio-temporal flow and deformation in real human lung. Specifically, it utilizes a mathematical formulation that fuses the CFD predictions of lung displacement with the corresponding radiotherapy data using the theory of Tikhonov regularization. The lung is assumed to behave as a poro-elastic medium with heterogeneous Young’s modulus. The CFD scheme utilizes a flow-structure interaction model to simultaneously solve the airflow equations and structural dynamics of the lung tissue, with allowance for interaction at the interface. The simulation is performed on a 3D lung geometry reconstructed from 4D CT scan dataset of real human patients. The predicted deformation is fused with inverse estimation data by means of the fusion algorithm to obtain the optimal results.
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Fritz, Dominik, Julia Kroll, Rüdiger Dillmann, and Michael Scheuering. "Automatic 4D segmentation of the left ventricle in cardiac-CT data." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.707626.

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Wu, Xingfu, Guangtai Ding, and Valerie Taylor. "Parallel Optical Flow Processing of 4D Cardiac CT Data on Multicore Clusters." In 2014 IEEE 17th International Conference on Computational Science and Engineering (CSE). IEEE, 2014. http://dx.doi.org/10.1109/cse.2014.53.

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Ehrhardt, Jan, Rene Werner, Thorsten Frenzel, Wei Lu, Daniel Low, and Heinz Handels. "Analysis of free breathing motion using artifact reduced 4D CT image data." In Medical Imaging, edited by Josien P. W. Pluim and Joseph M. Reinhardt. SPIE, 2007. http://dx.doi.org/10.1117/12.708171.

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Clark, D., G. A. Johnson, and C. T. Badea. "Denoising of 4D cardiac micro-CT data using median-centric bilateral filtration." In SPIE Medical Imaging, edited by David R. Haynor and Sébastien Ourselin. SPIE, 2012. http://dx.doi.org/10.1117/12.911478.

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Sunhee Wi, Yunjeong Lee, Jiseoc Lee, Sajid Abbas, and Seungryong Cho. "Low-dose cardiac 4D cone-beam CT image reconstruction using two-cycle data." In 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2014. http://dx.doi.org/10.1109/nssmic.2014.7430933.

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Ehrhardt, Jan, Alexander Schmidt-Richberg, and Heinz Handels. "Simultaneous segmentation and motion estimation in 4D-CT data using a variational approach." In Medical Imaging, edited by Joseph M. Reinhardt and Josien P. W. Pluim. SPIE, 2008. http://dx.doi.org/10.1117/12.768228.

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Gallego-Ortiz, Nicolas, Jonathan Orban de Xivry, Antonin Descampe, Samuel Goossens, Xavier Geets, Guillaume Janssens, and Benoit Macq. "Respiratory motion variations from skin surface on lung cancer patients from 4D CT data." In SPIE Medical Imaging, edited by Sebastien Ourselin and Martin A. Styner. SPIE, 2014. http://dx.doi.org/10.1117/12.2043477.

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Wang, Hui, Yong Yin, Hongjun Wang, and Guanzhong Gong. "A modified optical flow based method for registration of 4D CT data of hepatocellular carcinoma patients." In 2012 IEEE International Conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS). IEEE, 2012. http://dx.doi.org/10.1109/vecims.2012.6273180.

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