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Computational diffusion MRI : International MICCAI Workshop, Lima, Peru, October 2020 / / edited by Noemi Gyori [and five others]
| Computational diffusion MRI : International MICCAI Workshop, Lima, Peru, October 2020 / / edited by Noemi Gyori [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (301 pages) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Optical data processing
Imatges per ressonància magnètica |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-73018-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Programme Committee -- Preface -- Contents -- Diffusion MRI Signal Acquisition -- Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data -- 1 Introduction -- 2 Methods -- 2.1 SIDE Acquisition -- 2.2 Reconstruction -- 2.3 Optimization -- 3 Experiments -- 3.1 Materials -- 3.2 Results -- 4 Conclusion -- References -- Towards Learned Optimal q-Space Sampling in Diffusion MRI -- 1 Introduction -- 1.1 Main Contributions -- 2 Method -- 2.1 Forward Model: Sub-Sampling Layer -- 2.2 Reconstruction Model -- 2.3 Optimization -- 3 Experimental Evaluation -- 3.1 Dataset -- 3.2 Training Settings -- 3.3 Results and Discussion -- 4 Conclusion -- 5 Supplementary Materials -- References -- A Signal Peak Separation Indexpg for Axisymmetric B-Tensor Encoding -- 1 Introduction -- 2 Theory -- 2.1 A Toy Model of Fascicle Crossing Under B-Tensor Encoding -- 2.2 The Signal Peak Separation Index -- 3 Methods -- 4 Results -- 5 Discussion and Conclusion -- References -- Orientation Processing: Tractography and Visualization -- Improving Tractography Accuracy Using Dynamic Filtering -- 1 Introduction -- 2 Materials and Methods -- 2.1 Initial Set of Streamlines -- 2.2 Parametric Representation of the Streamlines -- 2.3 Optimization -- 2.4 Data and Experiments -- 3 Results and Discussion -- 4 Conclusions -- References -- Diffeomorphic Alignment of Along-Tract Diffusion Profiles from Tractography -- 1 Introduction -- 2 Alignment of Along-Tract Diffusion Measure Profiles -- 2.1 Representation -- 2.2 Objective Function for Joint Alignment -- 2.3 Alternating Minimization for Subject-Level and Tract-Level Alignment -- 3 Results -- 3.1 Data -- 3.2 Along-Tract FA Profiles Before and After Joint Alignment -- 3.3 Reduced Coefficient of Variation -- 3.4 Subject-Wise Inter-tract Correlations.
3.5 Intraclass Correlation Coefficient for Reliability Across Time Points -- 4 Discussion -- References -- Direct Reconstruction of Crossing Muscle Fibers in the Human Tongue Using a Deep Neural Network -- 1 Introduction -- 2 Methods -- 2.1 Training Data and Ground Truth -- 2.2 Fiber Estimation Network -- 2.3 Fiber Estimation Loss -- 2.4 Training Procedure -- 3 Experiments and Results -- 3.1 Quantitative Evaluation on Synthetic Tongue HARDI Data -- 3.2 Qualitative Results on Post-mortem Human Tongue Data -- 4 Discussion and Conclusions -- References -- Learning Anatomical Segmentations for Tractography from Diffusion MRI -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Data Representations -- 2.3 Architecture -- 2.4 Training -- 2.5 Tracts -- 2.6 Evaluation Criteria -- 3 Results and Discussion -- 3.1 Evaluation 1: Q-Space Sampling Density -- 3.2 Evaluation 2: Input Representations -- 3.3 Evaluation 3: Generalization -- 3.4 Evaluation 4: Tract Similarity -- 4 Conclusion -- References -- Diffusion MRI Fiber Orientation Distribution Function Estimation Using Voxel-Wise Spherical U-Net -- 1 Introduction -- 2 Background and Method -- 2.1 Voxel-Wise Spherical U-Net -- 3 Dataset -- 4 Experiments and Implementation Details -- 5 Results and Conclusions -- References -- Microstructure Modeling and Representation -- Stick Stippling for Joint 3D Visualization of Diffusion MRI Fiber Orientations and Density -- 1 Introduction -- 2 Methods -- 2.1 Diffusion Modeling and the Fixel Representation -- 2.2 Fixel Glyph Visualization -- 3 Experiments and Results -- 3.1 Clinical Data Experiment -- 3.2 HCP Experiment -- 3.3 RESOLVE Experiment -- 4 Discussion and Conclusions -- References -- Q-Space Quantitative Diffusion MRI Measures Using a Stretched-Exponential Representation -- 1 Introduction -- 2 Theory -- 2.1 Diffusion MR Signal Representation. 2.2 Q-Space Domain Quantitative Measures -- 2.3 Numerical Implementation -- 2.4 Optimization of Stretched-Exponential Representation -- 3 Materials and Methods -- 3.1 Ex Vivo rat brain data -- 3.2 In Vivo Human brain data -- 3.3 Comparison to the Q-Space Measures from Different Methods -- 4 Results and Discussion -- 5 Conclusions -- References -- Repeatability of Soma and Neurite Metrics in Cortical and Subcortical Grey Matter -- 1 Introduction -- 2 Methods -- 2.1 Image Acquisition and Pre-processing -- 2.2 Image Processing and Analysis -- 3 Results -- 4 Discussion -- References -- DW-MRI Microstructure Model of Models Captured Via Single-Shell Bottleneck Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Data Acquisition -- 4 Proposed Method -- 5 Results -- 6 Discussion -- References -- Deep Learning Model Fitting for Diffusion-Relaxometry: A Comparative Study -- 1 Introduction -- 2 Methods -- 2.1 qMRI Model Fitting with DNNs -- 2.2 In Silico Study -- 2.3 In Vivo study -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Pretraining Improves Deep Learning Based Tissue Microstructure Estimation -- 1 Introduction -- 2 Methods -- 2.1 Problem Formulation -- 2.2 Signal Generation for Pretraining -- 2.3 Backbone Deep Network -- 2.4 Pretraining with the Auxiliary Dataset and Fine-Tuning -- 2.5 Implementation Details -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Signal Augmentation and Super Resolution -- Enhancing Diffusion Signal Augmentation Using Spherical Convolutions -- 1 Introduction -- 2 Signal Augmentation -- 2.1 Deep Learning Models -- 2.2 Spherical Deep Learning Models -- 2.3 Material -- 3 Evaluation -- 3.1 Results -- 4 Discussion -- 5 Conclusion -- References -- Hybrid Graph Convolutional Neural Networks for Super Resolution of DW Images -- 1 Introduction -- 2 Dataset -- 3 Methods. 3.1 Coarse SR Prediction in 3D Grid Structure Space -- 3.2 Refinement by GCNN in Diffusion Gradient Space -- 3.3 Loss Function -- 4 Experiments -- 5 Conclusion -- References -- Manifold-Aware CycleGAN for High-Resolution Structural-to-DTI Synthesis -- 1 Introduction -- 2 Method -- 2.1 Log-Euclidean Metric -- 2.2 Adversarial Loss -- 2.3 Cycle Consistency Loss -- 2.4 Manifold-Aware Wasserstein CycleGAN -- 3 Experiments -- 4 Discussion and Conclusion -- References -- Diffusion MRI Applications -- Beyond Lesion-Load: Tractometry-Based Metrics for Characterizing White Matter Lesions within Fibre Pathways -- 1 Introduction -- 2 Theory and Methods -- 2.1 Clinical Assessment -- 2.2 Acquisition -- 2.3 Processing -- 2.4 Proposed Metrics -- 3 Results -- 3.1 Lesion Mapping -- 3.2 Volumetric Metrics -- 3.3 Tractometry-Based Metrics -- 4 Discussion and Conclusion -- References -- Multi-modal Brain Age Estimation: A Comparative Study Confirms the Importance of Microstructure -- 1 Introduction -- 2 Data and Materials -- 3 Methods -- 3.1 Brain Age Estimation -- 3.2 Associations with IDPs and Non-IDP Variables -- 4 Results -- 4.1 Brain Age Estimation -- 4.2 Association with Brain IDPs -- 4.3 Association with Cardiac Variables -- 5 Discussion -- References -- Longitudinal Parcellation of the Infant Cortex Using Multi-modal Connectome Harmonics -- 1 Introduction -- 2 Methods -- 2.1 Data and Preprocessing -- 2.2 Connectivity Matrices -- 2.3 Iterative Multi-modal Parcellation Via Connectome Harmonics -- 2.4 Optimal Cluster Number Determination -- 3 Results -- 3.1 Homogeneity -- 3.2 Community Detection -- 4 Discussion -- 5 Conclusion -- References -- Automatic Segmentation of Dentate Nuclei for Microstructure Assessment: Example of Application to Temporal Lobe Epilepsy Patients -- 1 Introduction -- 2 Methods -- 2.1 Subjects -- 2.2 MRI Protocol -- 2.3 DWI Processing. 2.4 DNs Segmentation -- 2.5 Post Processing for OPAL and CNN -- 2.6 Quantitative Evaluation -- 2.7 Comparison of Automatic Methods -- 2.8 Clinical Application to TLE Data -- 3 Results -- 3.1 Comparison of the Three Automatic Methods -- 3.2 Application to TLE Dataset -- 4 Discussion -- 5 Conclusion -- References -- Two Parallel Stages Deep Learning Network for Anterior Visual Pathway Segmentation -- 1 Introduction -- 2 Methods -- 2.1 Data Preprocessing -- 2.2 Two Parallel Stages Network Architecture -- 3 Experiments -- 3.1 Dataset -- 3.2 Implementation Details -- 3.3 Results -- 4 Conclusion -- References -- Exploring DTI Benchmark Databases Through Visual Analytics -- 1 Introduction -- 2 Related Work -- 3 Use Case -- 4 Implementation -- 5 Discussion -- 6 Conclusions and Future Work -- References -- Index. |
| Record Nr. | UNINA-9910502988403321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors
| Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 210 p. 78 illus., 64 illus. in color.) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN | 3-030-52893-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Diffusion MRI signal acquisition and processing strategies -- Machine learning for diffusion MRI -- Combined diffusion-relaxometry MRI. |
| Record Nr. | UNINA-9910484129503321 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors
| Computational diffusion MRI : MICCAI Workshop, Shenzhen, China, October 2019 / / Elisenda Bonet-Carne [and five others] editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XI, 210 p. 78 illus., 64 illus. in color.) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico | Diffusion magnetic resonance imaging |
| ISBN | 3-030-52893-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Diffusion MRI signal acquisition and processing strategies -- Machine learning for diffusion MRI -- Combined diffusion-relaxometry MRI. |
| Record Nr. | UNISA-996418183403316 |
| Cham, Switzerland : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018 / / edited by Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax
| Computational Diffusion MRI : International MICCAI Workshop, Granada, Spain, September 2018 / / edited by Elisenda Bonet-Carne, Francesco Grussu, Lipeng Ning, Farshid Sepehrband, Chantal M. W. Tax |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (403 pages) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Biomathematics
Numerical analysis Computer science—Mathematics Optical data processing Computer simulation Artificial intelligence Mathematical and Computational Biology Numeric Computing Math Applications in Computer Science Image Processing and Computer Vision Simulation and Modeling Artificial Intelligence |
| ISBN | 3-030-05831-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Diffusion MRI signal acquisition and processing strategies -- Part II Machine learning for diffusion MRI -- Part III Diffusion MRI signal harmonisation -- Part IV Diffusion MRI outside the brain and clinical applications -- Part V Tractography and connectivity mapping -- Index. |
| Record Nr. | UNINA-9910338252603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 / / edited by Enrico Kaden, Francesco Grussu, Lipeng Ning, Chantal M. W. Tax, Jelle Veraart
| Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 / / edited by Enrico Kaden, Francesco Grussu, Lipeng Ning, Chantal M. W. Tax, Jelle Veraart |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (244 pages) : illustrations |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Biomathematics
Statistics Computer mathematics Bioinformatics Optical data processing Mathematical and Computational Biology Statistics for Life Sciences, Medicine, Health Sciences Computational Mathematics and Numerical Analysis Computational Biology/Bioinformatics Image Processing and Computer Vision |
| ISBN | 3-319-73839-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Data Acquisition and Modeling: Estimating Tissue Microstructure using Diffusion-Weighted Magnetic Resonance Spectroscopy of Brain Metabolites by Marco Palombo -- (k, q)-Compressed Sensing for dMRI with Joint Spatial-Angular Sparsity Prior by Evan Schwab et al -- Spatio-Temporal dMRI Acquisition Design: Reducing the Number of qτ Samples Through a Relaxed Probabilistic Model by Patryk Filipiak et al -- A Generalized SMT-Based Framework for Diffusion MRI Microstructural Model Estimation by Mauro Zucchelli et al -- Part II Image Postprocessing: Diffusion Specific Segmentation: Skull Stripping with Diffusion MRIData Alone by Robert I. Reid et al -- Diffeomorphic Registration of Diffusion Mean Apparent Propagator Fields Using Dynamic Programming on a Minimum Spanning Tree by K´evin Ginsburger et al -- Diffusion Orientation Histograms (DOH) for Diffusion Weighted Image Analysis by Laurent Chauvin et al -- Part III Tractography and Connectivity: Learning a Single Step of Streamline Tractography Based on Neural Networks by Daniel Jörgens et al -- Probabilistic Tractography for Complex Fiber Orientations with Automatic Model Selection by Edwin Versteeg et al -- Bundle-Specific Tractography by Francois Rheault et al -- A Sheet Probability Index from Diffusion Tensor Imaging by Michael Ankele et al -- Recovering Missing Connections in Diffusion Weighted MRI Using Matrix Completion by Chendi Wang et al -- Brain Parcellation and Connectivity Mapping Using Wasserstein Geometry by Hamza Farooq et al -- Exploiting Machine Learning Principles for Assessing the Fingerprinting Potential of Connectivity Features by Silvia Obertino et al -- Part IV Clinical Applications: Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players by Itay Benou et al -- Longitudinal Analysis Framework of DWI Data for Reconstructing Structural Brain Networks with Application to Multiple Sclerosis by Thalis Charalambous et al -- Multi-Modal Analysis of Genetically-Related Subjects Using SIFT Descriptors in Brain MRI by Kuldeep Kumar et al -- VERDICT Prostate Parameter Estimation with AMICO by Elisenda Bonet-Carne et al. |
| Record Nr. | UNINA-9910300122603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015 / / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert
| Computational Diffusion MRI : MICCAI Workshop, Munich, Germany, October 9th, 2015 / / edited by Andrea Fuster, Aurobrata Ghosh, Enrico Kaden, Yogesh Rathi, Marco Reisert |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (236 p.) |
| Disciplina | 616.07548 |
| Collana | Mathematics and Visualization |
| Soggetto topico |
Mathematics
Visualization Bioinformatics Computer mathematics Computer simulation Optical data processing Statistics Computational Biology/Bioinformatics Computational Science and Engineering Simulation and Modeling Image Processing and Computer Vision Statistics for Life Sciences, Medicine, Health Sciences |
| ISBN | 3-319-28588-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Efficient Finite Element Solution of the Generalised Bloch-Torrey Equation for Arbitrary Domains: L. Beltrachini et al -- Super-Resolution Reconstruction of Diffusion-Weighted Images using 4D Low-Rank and Total Variation: Feng Shi et al -- Holistic Image Reconstruction for Diffusion MRI: V. Golkov et al -- Alzheimer’s Disease Classification with Novel Microstructural Metrics from Diffusion-Weighted MRI: T. M. Nir et al -- Brain Tissue Micro-Structure Imaging from Diffusion MRI Using Least Squares Variable Separation: H. Farooq et al -- Multi-Tensor MAPMRI: How to Estimate Microstructural Information from Crossing Fibers: M. Zucchelli et al -- On the Use of Antipodal Optimal Dimensionality Sampling Scheme on the Sphere for Recovering Intra-Voxel Fibre Structure in Diffusion MRI: A.P. Bates et al -- Estimation of Fiber Orientations Using Neighborhood Information: C. Ye et al -- A framework for creating population specific multimodal brain atlas using clinical T1 and diffusion tensor images: V. Gupta et al -- Alignment of Tractograms as Linear Assignment Problem: N. Sharmin -- Accelerating Global Tractography Using Parallel Markov Chain Monte Carlo: H. Wu et al -- Adaptive Enhancement in Diffusion MRI Through Propagator Sharpening: T. Dela Haije et al -- Angular Resolution Enhancement of Diffusion MRI Data Using Inter-Image Information Transfer: Geng Chen et al -- Crossing versus Fanning: Model Comparison Using HCP Data: A. Ghosh et al -- White Matter Fiber Set Simplification by Redundancy Reduction with Minimum Anatomical Information Loss: G. Zimmerman Moreno et al -- A Temperature Phantom to Probe the Ensemble Average Propagator Asymmetry: an In-Silico Study: M. Pizzolato et al -- Registration Strategies for Whole-Body Diffusion-Weighted MRI Stitching: J. Ceranka et al -- HARDI Feature Selection, Registration and Atlas Building for A$\beta$ Pathology Classification: E. Schwab et al -- Reliability of Structural Connectivity Examined with Four Different Diffusion Reconstruction Methods at Two Different Spatial and Angular Resolutions: J. E. Villalon-Reina et al. |
| Record Nr. | UNINA-9910254075803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational molecular magnetic resonance imaging for neuro-oncology / / Michael O. Dada, Bamidele O. Awojoyogbe
| Computational molecular magnetic resonance imaging for neuro-oncology / / Michael O. Dada, Bamidele O. Awojoyogbe |
| Autore | Dada Michael O. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (412 pages) |
| Disciplina | 616.07548 |
| Collana | Biological and Medical Physics, Biomedical Engineering |
| Soggetto topico |
Magnetic resonance imaging
Brain - Cancer - Magnetic resonance imaging |
| ISBN | 3-030-76728-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910495222203321 |
Dada Michael O.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational molecular magnetic resonance imaging for neuro-oncology / / Michael O. Dada, Bamidele O. Awojoyogbe
| Computational molecular magnetic resonance imaging for neuro-oncology / / Michael O. Dada, Bamidele O. Awojoyogbe |
| Autore | Dada Michael O. |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (412 pages) |
| Disciplina | 616.07548 |
| Collana | Biological and Medical Physics, Biomedical Engineering |
| Soggetto topico |
Magnetic resonance imaging
Brain - Cancer - Magnetic resonance imaging |
| ISBN | 3-030-76728-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466742203316 |
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Dada Michael O.
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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A Concise Guide to Nuclear Medicine / / by Abdelhamid H. Elgazzar, Saud Alenezi
| A Concise Guide to Nuclear Medicine / / by Abdelhamid H. Elgazzar, Saud Alenezi |
| Autore | Elgazzar Abdelhamid H. <1949-> |
| Edizione | [2nd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (162 pages) |
| Disciplina |
616.07548
616.07575 |
| Soggetto topico |
Nuclear medicine
Nuclear Medicine - methods Nuclear Medicine |
| ISBN | 3-030-26064-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic Principles of Nuclear Medicine -- Nuclear Medicine in the Genitourinary System -- Nuclear Medicine in the Digestive System -- Nuclear Medicine in the Endocrine System -- Nuclear Medicine in Soft Tissue Infection and Inflammation -- Nuclear Medicine in the Respiratory System -- Nuclear Medicine in the Musculoskeletal System -- Nuclear Medicine in the Cardiovascular System -- Nuclear Medicine in the Nervous System -- Nuclear Medicine in Oncology -- Therapeutic Applications of Nuclear Medicine -- Glossary. |
| Record Nr. | UNINA-9910369934503321 |
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Elgazzar Abdelhamid H. <1949->
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Conventional Nuclear Medicine in Pediatrics : A Clinical Case-Based Atlas / / edited by Maria Carmen Garganese, Giovanni Francesco Livio D'Errico
| Conventional Nuclear Medicine in Pediatrics : A Clinical Case-Based Atlas / / edited by Maria Carmen Garganese, Giovanni Francesco Livio D'Errico |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XV, 443 p. 225 illus., 224 illus. in color.) |
| Disciplina | 616.07548 |
| Soggetto topico |
Nuclear medicine
Pediatrics Radiology Nuclear Medicine Diagnostic Radiology |
| ISBN | 3-319-43181-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Part 1 General considerations -- Management of the pediatric patient: a teamwork -- Radiation exposure -- The radiologist: nuclear medicine alter ego or best friend? -- Part 2 Clinical pediatric practice -- Nephrourology -- Oncology -- Gastroenterology -- Rheumatology -- Pulmonology -- Cardiology -- Endocrinology -- Miscellaneous. |
| Record Nr. | UNINA-9910155447103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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