Thematische Bibliographien / Diffusion CT

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Diffusion CT“

Autor: Grafiati
Veröffentlicht am 25. Mai 2024
Zuletzt aktualisiert am 31. Juli 2025

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Zeitschriftenartikel zum Thema "Diffusion CT"

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Guo, Huimin, Zhiwen Zhang, Li Wang, et al. "Diagnostic Significance of 18F-FDG PET/CT Imaging Coupled with Magnetic Resonance Imaging of the Entire Body for Bone Metastases." Contrast Media & Molecular Imaging 2022 (September 27, 2022): 1–7. http://dx.doi.org/10.1155/2022/7717398.

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Objective. To see if 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) imaging paired with MR diffusion imaging can help doctors diagnose bone metastases. Methods. From September 2020 to December 2021, a total of 30 individuals with probable bone metastases were recruited for the trial. With an average interval of four days, MAGNETIC resonance whole-body diffusion imaging (MR whole-body diffusion imaging) was performed on each of the 30 patients who had 18F-FDG PET/CT. The SUVmax values of the group with bone metastases were compared to those of the group
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Jee, Jongmin, Won Chang, Euyoung Kim, and Kyongjoon Lee. "Accelerating Diffusion: Task-Optimized latent diffusion models for rapid CT denoising." Computers in Biology and Medicine 194 (August 2025): 110517. https://doi.org/10.1016/j.compbiomed.2025.110517.

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Sigismondi, Paolo. "Exploring Translation Gaps: The Untranslatability and Global Diffusion of “Cool”." Communication Theory 28, no. 3 (2018): 292–310. http://dx.doi.org/10.1093/ct/qtx007.

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Okazumi, Shinichi, Gaku Ohira, Koichi Hayano, Tomoyoshi Aoyagi, Shunsuke Imanishi, and Hisahiro Matsubara. "Novel Advances in Qualitative Diagnostic Imaging for Decision Making in Multidisciplinary Treatment for Advanced Esophageal Cancer." Journal of Clinical Medicine 13, no. 2 (2024): 632. http://dx.doi.org/10.3390/jcm13020632.

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Background: Recently, neoadjuvant therapy and the succeeding surgery for advanced esophageal cancer have been evaluated. In particular, the response to the therapy has been found to affect surgical outcomes, and thus a precise evaluation of treatment effect is important for this strategy. In this study, articles on qualitative diagnostic modalities to evaluate tumor activities were reviewed, and the diagnostic indices were examined. Methods: For prediction of the effect, perfusion CT and diffusion MRI were estimated. For the histological response evaluation, perfusion CT, diffusion-MRI, and FD
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Chae, Baek, Chang shik Choi, Seung-Hwa Kang, and Yun-Cheol Heo. "Diffusion of television, wax and wane of community and family bond." Communication Theories 14, no. 4 (2018): 139–82. http://dx.doi.org/10.20879/ct.2018.14.4.139.

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Kim, Su-Beom, Soo Jin Song, Yeong Hyoen Yoo, and Dar Oh Lim. "International Comparative Analysis of Advanced Diagnostic Imaging Equipment Demand Characteristics Using the Bass Diffusion Model." Journal of Health Informatics and Statistics 49, no. 1 (2024): 27–34. http://dx.doi.org/10.21032/jhis.2024.49.1.27.

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Objectives: This paper proposed the direction of future supply and demand management policies through demand prediction and demand characteristics analysis of advanced diagnostic imaging equipment using new medical technology.Methods: This study used the Bass Diffusion Model to analyze demand characteristics for advanced diagnostic imaging equipment. Derived diffusion coefficients were applied for medium to long-term demand predictions (2021-2050). Parameter estimation employed non-linear regression analysis (SPSS 27.0). Demand characteristics were further analyzed using the ratio of the Bass
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Demeestere, Jelle, Carlos Garcia-Esperon, Pablo Garcia-Bermejo, et al. "Evaluation of hyperacute infarct volume using ASPECTS and brain CT perfusion core volume." Neurology 88, no. 24 (2017): 2248–53. http://dx.doi.org/10.1212/wnl.0000000000004028.

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Objective:To compare the accuracy of Alberta Stroke Program Early Computed Tomography Score (ASPECTS) and CT perfusion to detect established infarction in acute anterior circulation stroke.Methods:We performed an observational study in 59 acute anterior circulation ischemic stroke patients who underwent brain noncontrast CT, CT perfusion, and MRI within 100 minutes from CT imaging. ASPECTS scores were calculated by 4 blinded vascular neurologists. The accuracy of ASPECTS and CT perfusion core volume to detect an acute MRI diffusion lesion of ≥70 mL was evaluated using receiver operating charac
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Chae, Baek, Seung-Hwa Kang, and Yun-Cheol Heo. "Diffusion of telephone and changes in interpersonal relationship: An oral history study." Communication Theories 15, no. 3 (2019): 105–51. http://dx.doi.org/10.20879/ct.2019.15.3.105.

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Morris, N. "A Comparative Analysis of the Diffusion and Participatory Models in Development Communication." Communication Theory 13, >2 (2003): 225–48. http://dx.doi.org/10.1093/ct/13.2.225.

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Sato, Akira, and Koichi Ikeda. "Visualization of diffusion phenomena in porous media by means of X-ray computed tomography (CT) scanning." Canadian Geotechnical Journal 52, no. 10 (2015): 1448–56. http://dx.doi.org/10.1139/cgj-2014-0451.

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The migration of water and contamination materials in rock structures is a significant issue in projects that utilize deep underground locations such as “carbon-dioxide capture and storage” (CCS) and disposal of high-level nuclear waste. These phenomena are also important in the area of preservation of stone structures of cultural heritage signficance, as such stone structures are usually located outside, exposed to wind and rain. The migration of contamination materials in the underground environment, especially in porous rock mass, is governed mainly by water permeation and diffusion. In thi
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Dissertationen zum Thema "Diffusion CT"

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Mosavi, Firas. "Whole-Body MRI including Diffusion-Weighted Imaging in Oncology." Doctoral thesis, Uppsala universitet, Enheten för radiologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209777.

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Cancer is one of the major causes of worldwide mortality. Imaging plays a vital role in the staging, follow-up, and evaluation of therapeutic response in cancer patients. Whole-body (WB) magnetic resonance imaging (MRI), as a non-ionizing imaging technique, is a promising procedure to assess tumor spreading in a single examination. New MRI technological developments now enable the application of diffusion-weighted imaging (DWI) of the entire body. DWI reflects the random motion of water molecules and provides functional information of body tissues. DWI can be quantified with the use of the app
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Takahashi, Hiroaki, Yoshimi Seida, and Mikazu Yui. "3D X-ray CT and diffusion measurements to assess tortuosity and constrictivity in a sedimentary rock." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-191088.

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Takahashi, Hiroaki, Yoshimi Seida, and Mikazu Yui. "3D X-ray CT and diffusion measurements to assess tortuosity and constrictivity in a sedimentary rock." Diffusion fundamentals 11 (2009) 89, S. 1-11, 2009. https://ul.qucosa.de/id/qucosa%3A14061.

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A high-resolution, three-dimensional (3D) image of the interior of the sedimentary rock was obtained by means of nano-focus X-ray computer tomography (X-ray CT). Using computational methods to analyze the 3D microstructure of the rock, we presented the tortuosity and geometrical constrictivity. We also presented results on the tritiated water (HTO) diffusion tests and a mercury intrusion porosimetry (MIP) test performed on the rock. We have compared these results to understand the dominant parameters that control diffusion of HTO in the present system. These results suggest that the dominant p
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Peyrat, Jean-Marc. "Comparison of cardiac anatomy and function : statistics on fibre architecture form DT-MRI and registration of 4D CT images." Nice, 2009. http://www.theses.fr/2009NICE4053.

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Ce travail de thèse s'est consacré à la comparaison de l'anatomie et de la fonction cardiaques à partir d'images médicales. La première partie de la thèse se concentre sur l'anatomie cardiaque avec une étude statistique de l'architecture des fibres musculaires du cœur à partir d'imagerie par résonance magnétique du tenseur de diffusion (IRM-TD). Dans la deuxième partie est proposée une comparaison conjointe de l'anatomie et de la fonction cardiaque par le recalage non-linéaire spatiotemporel de deux séquences 4D CT de différents patients ou du même patient à différents instants. L'architecture
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Peyrat, Jean-Marc. "Comparaison de l'Anatomie et de la Fonction Cardiaque : Statistiques sur l'Architecture des Fibres et Recalage d'Images 4D CT." Phd thesis, Université de Nice Sophia-Antipolis, 2009. http://tel.archives-ouvertes.fr/tel-00635292.

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Ce travail de thèse s'est consacré à la comparaison de l'anatomie et de la fonction cardiaques à partir d'images médicales. Une première partie se concentre sur l'anatomie cardiaque avec une étude statistique de l'architecture des bres musculaires du c÷ur à partir d'IRM de tenseur de di usion. Dans la deuxième partie est proposée une comparaison la fonction cardiaque de di érents patients ou du même patient a di érents instants par le recalage spatiotemporel de séquences 4D CT. La complexe organisation des bres musculaires cardiaques a un rôle très important dans le comportement électrique et
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Nunn, Jacob. "Investigations of Partial Gas Saturation on Diffusion in Low-permeability Sedimentary Rocks." Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38396.

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The effect of partially saturated conditions on aqueous diffusion was investigated on the Upper Ordovician Queenston Formation shale from the Michigan Basin of southwest Ontario, Canada. Effective diffusion coefficients (De) were determined for iodide tracer on duplicate cm-scale samples from a core segment. Partially saturated conditions were created with a new gas-ingrowth method that takes advantage of the variability of N2 solubility with pressure. The method is designed to create partially saturated pores, quantify the level of partial gas/brine saturation within the tracer-accessible por
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Gu, Jing, and 谷静. "Multiparametric imaging using diffusion and dynamic-contrast enhanced MRI, and 18F-FDG PET/CT in the evaluation of primary rectal cancer andmalignant lymphoma." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47027174.

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Fabien, Aurélie Jessica. "Etude du couplage comportement hydromécanique – durabilité dans le béton de la structure : application à la maquette MAREVA." Nantes, 2012. http://www.theses.fr/2012NANT2090.

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Maiwald, Bettina, Donald Lobsien, Thomas Kahn, and Patrick Stumpp. "Is 3-Tesla Gd-EOB-DTPA-enhanced MRI with diffusion-weighted imaging superior to 64-slice contrast-enhanced CT for the diagnosis of hepatocellular carcinoma?" Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-155190.

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Objectives: To compare 64-slice contrast-enhanced computed tomography (CT) with 3-Tesla magnetic resonance imaging (MRI) using Gd-EOB-DTPA for the diagnosis of hepatocellular carcinoma (HCC) and evaluate the utility of diffusion-weighted imaging (DWI) in this setting. Methods: 3-phase-liver-CT was performed in fifty patients (42 male, 8 female) with suspected or proven HCC. The patients were subjected to a 3-Tesla-MRI-examination with Gd-EOB-DTPA and diffusion weighted imaging (DWI) at b-values of 0, 50 and 400 s/mm2. The apparent diffusion coefficient (ADC)-value was determined for each lesio
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Cunningham, Dustin T. "Fusion of Multimodal Neuroimaging for Deep Brain Stimulation Studies." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337895443.

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Bücher zum Thema "Diffusion CT"

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Gardner, Andrew, Grant L. Iverson, Paul van Donkelaar, Philip N. Ainslie, and Peter Stanwell. Magnetic Resonance Spectroscopy, Diffusion Tensor Imaging, and Transcranial Doppler Ultrasound Following Sport-Related Concussion. Edited by Ruben Echemendia and Grant L. Iverson. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199896585.013.12.

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Sport-related concussion has been referred to as a functional rather than a structural injury with neurometabolic and microstructural alterations reported in several studies. Accordingly, conventional neuroimaging techniques, such as computed tomography (CT) and structural magnetic resonance imaging (MRI), have limited value beyond ruling out structural injury such as a contusion or hemorrhage. This chapter presents a review of three neuroimaging techniques that offer insight into the connectivity and neurometabolic consequences of concussion. A number of studies have now been published using
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Glockner, James F., Kazuhiro Kitajima, and Akira Kawashima. Magnetic resonance imaging. Edited by Christopher G. Winearls. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0015_update_001.

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Magnetic resonance imaging (MRI) provides excellent anatomic detail and soft tissue contrast for the evaluation of patients with renal disease. MRI needs longer scan time than computed tomography (CT); however, no radiation is involved. Gadolinium-based contrast agents (GBCAs) are used to help provide additional image contrast during MRI. MRI is indicated for characterization of renal mass, staging of malignant renal neoplasms, and determination of vena cava involvement by the renal tumour. Magnetic resonance (MR) angiography is widely accepted as a non-invasive imaging work-up of renal artery
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Das, Raj, Susan Heenan, and Uday Patel. Magnetic resonance imaging in urology. Edited by Michael Weston. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0134.

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Magnetic resonance imaging is essential for urological imaging. It offers excellent soft tissue contrast and resolution, allowing manipulation of tissue contrast with different image weighting and sequences. The multiplanar aspect of MRI allows image acquisition in different planes and degrees of obliquity to best exhibit pathology. The basic physics of MRI is explored initially with explanation of image weighting, sequences, and diffusion-weighted imaging. The chapter is then divided into renal, bladder, and prostate MRI imaging. The paragraphs on renal MRI outline renal mass analysis and inc
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Buchteile zum Thema "Diffusion CT"

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Ferrozzi, Francesco, Giacomo Garlaschi, and Davide Bova. "Modalities of Metastatic Diffusion." In CT of Metastases. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59595-0_3.

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Ali, Hazrat, Shafaq Murad, and Zubair Shah. "Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_3.

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AbstractGenerative models are becoming popular for the synthesis of medical images. Recently, neural diffusion models have demonstrated the potential to generate photo-realistic images of objects. However, their potential to generate medical images is not explored yet. We explore the possibilities of synthesizing medical images using neural diffusion models. First, we use a pre-trained DALLE2 model to generate lungs X-Ray and CT images from an input text prompt. Second, we train a stable diffusion model with 3165 X-Ray images and generate synthetic images. We evaluate the synthetic image data
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Rossi, Armando, and Giorgio Rossi. "Diffusion of Malignant Tumors of Intraperitoneal Organs to the Peritoneum, Ligaments, Mesenteries, Omentum and Lymph Nodes." In CT of the Peritoneum. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56488-8_13.

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Kaur, Kavkirat, and Shailendra Tiwari. "Low-Dose CT Image Reconstruction Using Complex Diffusion Regularization." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1135-2_50.

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Manniesing, Rashindra, and Wiro Niessen. "Multiscale Vessel Enhancing Diffusion in CT Angiography Noise Filtering." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11505730_12.

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Martínez-Arias, Paola, Alexander Platas, Elena Zotova, Montse Cuadros, Iván Macía, and Karen López-Linares. "Text-Conditioned Abdominal CT Slice Generation Using Stable Diffusion." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3863-5_28.

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Kroon, Dirk-Jan, Cornelis H. Slump, and Thomas J. J. Maal. "Optimized Anisotropic Rotational Invariant Diffusion Scheme on Cone-Beam CT." In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15711-0_28.

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Shen, Ruochong, Xiaoxu Li, Yuan-Fang Li, Chao Sui, Yu Peng, and Qiuhong Ke. "DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72104-5_22.

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Liu, Xuhui, Zhi Qiao, Runkun Liu, et al. "DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72775-7_26.

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Mi, Jia, Caiwen Jiang, and Dinggang Shen. "Diffusion Model-Based Hierarchical Registration of Whole-Body PET/CT Images." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-73480-9_17.

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Konferenzberichte zum Thema "Diffusion CT"

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Teng, Peiqing, Xiao Jiang, Liang Cai, et al. "3D diffusion posterior sampling for CT reconstruction." In Physics of Medical Imaging, edited by John M. Sabol, Shiva Abbaszadeh, and Ke Li. SPIE, 2025. https://doi.org/10.1117/12.3047466.

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Tapp, Austin, Abhijeet Parida, Can Zhao, et al. "MR to CT Synthesis Using 3d Latent Diffusion." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635137.

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Wang, Xu, Dinglun He, Baoming Zhang, Yao Hao, Deshan Yang, and Ye Duan. "Conditional Diffusion Model for Abdominal CT Image Synthesis." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980773.

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Gao, Yuan, Huiqiao Xie, Chihwei Chang, et al. "CT-based liver synthetic contrast-enhanced CT generation using conditional denoising diffusion probabilistic model." In Clinical and Biomedical Imaging, edited by Barjor S. Gimi and Andrzej Krol. SPIE, 2025. https://doi.org/10.1117/12.3047724.

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Gong, Chaohui, Zisheng Huang, Zhiying Wu, et al. "MR-to-CT Translation Using Frequency-Separated Diffusion Models." In 2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI). IEEE, 2025. https://doi.org/10.1109/isbi60581.2025.10980939.

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Tachibana, Rie, Janne J. Näppi, Toru Hironaka, Masaki Okamoto, and Hiroyuki Yoshida. "Electronic cleansing in CT colonography using denoising diffusion probabilistic models." In Imaging Informatics, edited by Shandong Wu. SPIE, 2025. https://doi.org/10.1117/12.3046498.

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Bradbury, Rowan, Katherine A. Vallis, and Bartłomiej W. Papież. "Paired Diffusion: Generation of Related, Synthetic PET-CT-Segmentation Scans Using Linked Denoising Diffusion Probabilistic Models." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635593.

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Jeong, Jin Gyo, Ji Seung Ryu, Jhii-Hyun Ahn, and Sejung Yang. "Pancreatic Anomaly Detection in Abdominal CT Images using Latent Diffusion Models." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822025.

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Yu, Jialing, Zhiqi Li, Simin Zhang, and Ling Ma. "A U-shape Diffusion Network for Low-Dose CT Image Enhancement." In 2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML). IEEE, 2025. https://doi.org/10.1109/cacml64929.2025.11010934.

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Šter, Rok Marko, Gašper Podobnik, and Tomaž Vrtovec. "Diffusion-based MR-to-CT translation of head and neck images." In Image Processing, edited by Olivier Colliot and Jhimli Mitra. SPIE, 2025. https://doi.org/10.1117/12.3047458.

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Berichte der Organisationen zum Thema "Diffusion CT"

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99mTc SPECT-CT, Consensus QIBA Profile. Chair Yuni Dewaraja and Robert Miyaoka. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2019. https://doi.org/10.1148/qiba/20191021.

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The quantification of 99mTc labeled biomarkers can add unique value in many different settings, ranging from clinical trials of investigation new drugs to the treatment of individual patients with marketed therapeutics. For example, goals of precision medicine include using companion radiopharmaceutical diagnostics as just-in-time, predictive biomarkers for selecting patients to receive targeted treatments, customizing doses of internally administered radiotherapeutics, and assessing responses to treatment. This Profile describes quantitative outcome measures that represent proxies of target c
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