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Biblioteca

MARC Lista (tabellare)
Basic Science of PET Imaging / / edited by Magdy M. Khalil
Basic Science of PET Imaging / / edited by Magdy M. Khalil
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIX, 619 p. 150 illus., 100 illus. in color.)
Disciplina 616.07548
Soggetto topico Nuclear medicine
Radiology
Nuclear Medicine
Diagnostic Radiology
ISBN 3-319-40070-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto History -- Basics and Radiation safety of PET Imaging -- Chemistry of PET radiopharmaceuticals: labelling strategies -- PET radiopharmaceuticals in clinical and research domains -- Quality Control of PET radiopharmaceuticals -- Physiologic and Molecular basis of PET in Cancer imaging -- Basics and new developments of Cardiac PET imaging -- PET in preclinical arena: Instrumentation and applications -- Radiation Dosimetry of PET imaging -- Physics and instrumentation of PET and hybrid PET Imaging: focus on PET/CT -- Hybrid PET/MR Imaging: Technologic advances and clinical applications -- Quality control and quality assurance of PET Scanners -- Image quantification in PET Imaging -- Image processing and data analysis of PET and hybrid PET Imaging -- Partial volume correction in PET imaging -- Compartmental modeling of PET Kinetics -- Motion artefacts and correction techniques in PET/CT -- Role of PET/CT in radiotherapy treatment planning. .
Record Nr. UNINA-9910149481803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Biomedical Imaging Technologies for Cardiovascular Disease / / edited by Julio Garcia Flores
Biomedical Imaging Technologies for Cardiovascular Disease / / edited by Julio Garcia Flores
Pubbl/distr/stampa Basel : , : MDPI, , 2023
Descrizione fisica 1 online resource (140 pages)
Disciplina 616.07548
Soggetto topico Magnetic resonance imaging
ISBN 3-0365-7007-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910683371603321
Basel : , : MDPI, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical Applications of Nuclear Medicine Targeted Therapy / / edited by Emilio Bombardieri, Ettore Seregni, Laura Evangelista, Carlo Chiesa, Arturo Chiti
Clinical Applications of Nuclear Medicine Targeted Therapy / / edited by Emilio Bombardieri, Ettore Seregni, Laura Evangelista, Carlo Chiesa, Arturo Chiti
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XIV, 503 p. 108 illus., 73 illus. in color.)
Disciplina 616.07548
Soggetto topico Nuclear medicine
Radiotherapy
Oncology  
Hematology
Endocrinology 
Urology
Nuclear Medicine
Oncology
Endocrinology
ISBN 3-319-63067-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto THYROID DISEASES -- Diagnosis and treatment of hyperthyroidism (Endocrinologist) -- Radiopharmaceuticals for therapy of thyroid diseases ( chemistry, mechanism of uptake, biodistribution, doses) (Radiochemist) -- Radioiodine therapy of hyperthyroidism (indications , procedures and results) ( Nucl Medicine Physician) -- Dosimetry (Physicist) -- Clinical management of thyroid cancer (Oncologist) -- Radioidine therapy of thyroid cancer (ablation, loco-regional and distant metastases, indications procedures and results) (Nucl Medicine Physician) -- Dosimetry (Physicist) -- Novel approaches of radiometabolic treatment of thyroid cancer (Nucl Medicine Physician) -- Published guidelines on radioisotopic treatments of thyroid diseases (Nucl Medicine Physician and Oncologist) -- HEPATIC CANCER -- Clinical options for treatment of hepatocellular carcinoma (HCC) (Oncologist, Surge on) -- Radiopharmaceuticals for radioembolization (characteristics, mechanism of uptake, biodistribution, doses) (Radiochemist) -- HCC radioembolization with 90Y microspheres (indications and procedures) (Nucl Medicine Physician) -- Dosimetry (Physicist) -- The clinical problem of hepatic metastases (Oncologist, Surgeon) -- Radioembolization of hepatic metastases with 90Y microspheres (indications and procedures) (Nucl Medicine Physician) -- Dosimetry (Physicist) -- Published guidelines on radioisotope treatment of hepatocellular cancer (Nucl Medicine Physician and Oncologist) -- NEUROENDOCRINE TUMORS -- Radiopharmaceuticals for treatment of neuroendocrine tumors (mechanisn of action, biodistribution, doses) (Radiochemis inPaediatric tumors of neuroendocrine origin (Oncologist) -- Treatment with 131I – MIBG (indications procedures and results) (Nucl Medicine Physician) -- Dosimetry (Physicist) -- GEP neuroendocrine tumors (Oncologist) -- PPRT with 90Y labeled peptides (indications ,procedures and results) (Nucl Medicine Physician) -- Dosimetry (Physicist) -- Published guidelines on radioisotope treatment of Neuroendocrine tumors(Nucl Medicine Physician and Oncologist) -- LYMPHOMAS -- Selection of lymphoma patients candidates for Radioimmunotherapy (Haematologist) -- Radiopharmaceuticals for treatment of neuroendocrine tumors (mechanisn of action, biodistribution, doses) (Radiochemist) -- Treatment with anti-CD20 Antibodies ( 90Y- ibritumomab /131 I- Tositumomab) (indications and procedures and results) (Nucl Medicine Physician) -- Radioimmunotherapy at high doses of lymphomas (Nucl Medicine Physician) -- Published guidelines on radioisotope treatment of Lymphomas (Nucl Medicine Physician and Oncologist) -- PROSTATE CANCER -- Overview on bone metastases from prostate cancer (Urologist, Oncologist) -- Radiopharmaceuticals for treatment of bone metastases (mechanisn of action, biodistribution, doses) (Radiochemist) -- Targeted therapy with 223Ra dichloride of bone metastases(Nucl Medicine Physician) -- Novel approaches of treatment with 223Ra based targeted therapy (Nucl Medicine Physician) -- Dosimetry (Physicist) -- Published guidelines on radioisotope treatment of Bone Metastases (Nucl Medicine Physician and Oncologist).
Record Nr. UNINA-9910300281103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Clinical Functional MRI [[electronic resource] ] : Presurgical Functional Neuroimaging / / edited by Christoph Stippich
Clinical Functional MRI [[electronic resource] ] : Presurgical Functional Neuroimaging / / edited by Christoph Stippich
Edizione [2nd ed. 2015.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (363 p.)
Disciplina 616.07548
Collana Diagnostic Imaging
Soggetto topico Neuroradiology
Neurosurgery
Neurology 
Neurology
ISBN 3-662-45123-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Presurgical fMRI and DTI -- Visualisation of  Brain Activity and White Matter Structure using fMRI and DTI -- Functional Neuroanatomy -- Task-based presurgical fMRI in Patients with Brain Tumors -- Resting-state presurgical fMRI -- Presurgical fMRI in Epilepsy -- DTI and tractography for brain tumor surgery -- Functional Neuronavigation -- Validity of Presurgical Functional Localisation -- Multimodality in Functional Neuroimaging -- Brain Plasticity in fMRI & DTI.-Clinical BOLD fMRI & DTI : Artifacts, Tips and Tricks.
Altri titoli varianti With contributions by numerous experts
Record Nr. UNINA-9910300214503321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Combined Scintigraphic and Radiographic Diagnosis of Bone and Joint Diseases [[electronic resource] ] : Including Gamma Correction Interpretation / / by Yong-Whee Bahk
Combined Scintigraphic and Radiographic Diagnosis of Bone and Joint Diseases [[electronic resource] ] : Including Gamma Correction Interpretation / / by Yong-Whee Bahk
Autore Bahk Yong-Whee
Edizione [5th ed. 2017.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXI, 722 p. 1008 illus., 83 illus. in color.)
Disciplina 616.07548
Soggetto topico Nuclear medicine
Oncology  
Orthopedics
Rheumatology
Nuclear Medicine
Oncology
Surgical Orthopedics
ISBN 981-10-2759-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction and fundamentals of pinhole scintigraphy -- Dual-head planar pinhole scan, pinhole SPECT, and gamma correction pinhole scan of the bone -- Clinical applications -- Normal pinhole scintigraphic anatomy of bones and joints -- Normal variants and artifacts -- Infective and inflammatory diseases of the bone -- Noninfective osteitides -- Diseases of joints and soft-tissue infections -- Degenerative joint diseases -- Rheumatoid arthritis -- Seronegative spondyloarthropathies -- Other rheumatic osteoarthropathies and soft-tissue rheumatism syndromes -- Osteochondroses and related diseases -- Vascular bone disorders -- Metabolic bone diseases and drug-induced osteoporosis -- Traumatic, surgical, and sports injuries of the skeleton -- Malignant tumors of the bone -- Benign tumors and tumorous conditions of the bone -- Soft-tissue tumors and tumor-like conditions -- Otorhinological disorders -- PET-CT in bone and joint diseases -- A genetic consideration of skeletal disorders -- Gamma correction pinhole bone scan diagnosis -- Trabecular Microfracture and Micro contusion -- Appendix: Basic physics of pinhole scintigraphy.
Record Nr. UNINA-9910254491003321
Bahk Yong-Whee  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Complex Image Formation via Statistical Estimation [risorsa elettronica] / tesi di dottorato di: Fabio Baselice ; tutor: Vito Pascazio
Complex Image Formation via Statistical Estimation [risorsa elettronica] / tesi di dottorato di: Fabio Baselice ; tutor: Vito Pascazio
Autore Baselice, Fabio
Descrizione fisica 1 disco ottico (CD-ROM) ; 12 cm
Disciplina 616.07548
Soggetto non controllato Segnali complessiElaborazione statistica
InterferometriaMRI
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNIPARTHENOPE-000029654
Baselice, Fabio  
Materiale a stampa
Lo trovi qui: Univ. Parthenope
Opac: Controlla la disponibilità qui
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms [[electronic resource] ] : A Convex Optimization Approach / / by Bhabesh Deka, Sumit Datta
Compressed Sensing Magnetic Resonance Image Reconstruction Algorithms [[electronic resource] ] : A Convex Optimization Approach / / by Bhabesh Deka, Sumit Datta
Autore Deka Bhabesh
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (122 pages)
Disciplina 616.07548
Collana Springer Series on Bio- and Neurosystems
Soggetto topico Biomedical engineering
Radiology, Medical
Signal, Image and Speech Processing
Biomedical Engineering and Bioengineering
Imaging / Radiology
ISBN 981-13-3597-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to Compressed Sensing Magnetic Resonance Imaging -- 2. Compressed Sensing MRI Reconstruction Problem -- 3. Fast Algorithms for Compressed Sensing MRI Reconstruction -- 4. Simulation Results -- 5. Performance Evaluation and Benchmark Setting -- 6. Conclusions and Future Directions.
Record Nr. UNINA-9910350280103321
Deka Bhabesh  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others]
Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (156 pages)
Disciplina 616.07548
Collana Lecture notes in computer science
Soggetto topico Diffusion magnetic resonance imaging
Artificial intelligence
Computer vision
ISBN 3-031-21206-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Data Preprocessing -- Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Model -- 3 Results -- 3.1 DWI Assessment -- 3.2 FA and MD in Newborns -- 3.3 Qualitative Results of FA and MD in Fetuses -- 4 Conclusion -- References -- Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging -- 1 Introduction -- 2 Background and Methods -- 2.1 Background -- 2.2 Proposed Method -- 3 Experiments -- 3.1 Data -- 3.2 Implementation and Training Details -- 3.3 Models and Evaluation Metrics -- 4 Results -- 4.1 Proposed Model Performance -- 4.2 Model Ablation Results -- 5 Discussion -- References -- .28em plus .1em minus .1emLossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusion -- References -- Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Distortion Model -- 2.2 Distortion Correction Using Image Registration -- 3 Method -- 3.1 Model Architecture -- 3.2 Models -- 4 Evaluations -- 4.1 Datasets -- 4.2 Models -- 4.3 Assessment Metrics -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures -- 1 Introduction -- 2 Methods -- 2.1 Study Participants and MRI Data -- 2.2 dMRI Preprocessing and Subsampling -- 2.3 dMRI Models and Regional Measures -- 2.4 Statistics -- 3 Results -- 3.1 DTI and NODDI Map Comparisons -- 3.2 DTI and NODDI Fit Evaluations -- 3.3 GAM Age Associations -- 4 Discussion -- References -- Signal Representations.
Diffusion MRI Fibre Orientation Distribution Inpainting -- 1 Introduction -- 2 Methods -- 2.1 The Human Connectome Project Dataset -- 2.2 Data Preprocessing -- 2.3 3D FOD Inpainting Framework -- 2.4 Feature Encoding Stage -- 2.5 Order-Wise Coefficient Decoders -- 2.6 Implementation Details -- 3 Experimental Results -- 3.1 Inpainting Quality Analysis -- 3.2 Connectome Matrix Analysis -- 4 Conclusion -- References -- Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Microstructure Model -- 2.2 Combined T1-Diffusion in Vivo Data -- 2.3 Simulated Data -- 2.4 Non-linear Least Squares Fitting -- 2.5 Self-supervised Model Fitting -- 3 Results -- 3.1 Simulated Data -- 3.2 Real Data -- 4 Discussion -- 5 Conclusion -- References -- Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting -- 1 Introduction -- 2 Methods -- 2.1 Biophysical Diffusion Model -- 2.2 Orientation Distribution Function Fingerprinting -- 2.3 Stepwise Stochastic Adaptation of a Dictionary -- 2.4 Data -- 2.5 Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? -- 1 Introduction -- 2 ML Solutions to the dMRI Parameter Estimation Problem and the Theoretical Benefits of S-CNNs -- 2.1 Fully-Connected Networks -- 2.2 Spherical CNNs -- 3 Experiments -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 4 Results and Discussion -- 4.1 For Experiment 1 -- 4.2 For Experiment 2 -- 5 Conclusion -- References -- Tractography and WM Pathways -- DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net -- 1 Introduction -- 2 Methods -- 2.1 Dense Criss-Cross U-Net -- 2.2 Dense Criss-Cross Attention (DCCA) Block.
2.3 Deeply Supervised Loss Function -- 3 Experiments -- 3.1 Dataset and Implementation Details -- 3.2 Results -- 3.3 Ablation Analysis of DC2U-Net -- 4 Conclusion -- References -- Clustering in Tractography Using Autoencoders (CINTA) -- 1 Introduction -- 1.1 Related Work -- 2 Material and Methods -- 3 Experiments -- 4 Results -- 5 Discussion -- 6 Conclusion -- A Appendix -- A.1 Misclassified Streamlines -- A.2 Time Computational Requirements -- References -- Tractometric Coherence of Fiber Bundles in DTI -- 1 Introduction -- 2 Theory -- 3 Experiments -- 4 Discussion -- References -- Author Index.
Record Nr. UNINA-9910633928503321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others]
Computational diffusion MRI : 13th international workshop, CDMRI 2022, held in conjunction with MICCAI 2022, Singapore, Singapore, September 22, 2022, proceedings / / editors : Suheyla Cetin-Karayumak [and six others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (156 pages)
Disciplina 616.07548
Collana Lecture notes in computer science
Soggetto topico Diffusion magnetic resonance imaging
Artificial intelligence
Computer vision
ISBN 3-031-21206-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Data Preprocessing -- Slice Estimation in Diffusion MRI of Neonatal and Fetal Brains in Image and Spherical Harmonics Domains Using Autoencoders -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Model -- 3 Results -- 3.1 DWI Assessment -- 3.2 FA and MD in Newborns -- 3.3 Qualitative Results of FA and MD in Fetuses -- 4 Conclusion -- References -- Super-Resolution of Manifold-Valued Diffusion MRI Refined by Multi-modal Imaging -- 1 Introduction -- 2 Background and Methods -- 2.1 Background -- 2.2 Proposed Method -- 3 Experiments -- 3.1 Data -- 3.2 Implementation and Training Details -- 3.3 Models and Evaluation Metrics -- 4 Results -- 4.1 Proposed Model Performance -- 4.2 Model Ablation Results -- 5 Discussion -- References -- .28em plus .1em minus .1emLossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusion -- References -- Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning -- 1 Introduction -- 2 Background -- 2.1 Distortion Model -- 2.2 Distortion Correction Using Image Registration -- 3 Method -- 3.1 Model Architecture -- 3.2 Models -- 4 Evaluations -- 4.1 Datasets -- 4.2 Models -- 4.3 Assessment Metrics -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- The Impact of Susceptibility Distortion Correction Protocols on Adolescent Diffusion MRI Measures -- 1 Introduction -- 2 Methods -- 2.1 Study Participants and MRI Data -- 2.2 dMRI Preprocessing and Subsampling -- 2.3 dMRI Models and Regional Measures -- 2.4 Statistics -- 3 Results -- 3.1 DTI and NODDI Map Comparisons -- 3.2 DTI and NODDI Fit Evaluations -- 3.3 GAM Age Associations -- 4 Discussion -- References -- Signal Representations.
Diffusion MRI Fibre Orientation Distribution Inpainting -- 1 Introduction -- 2 Methods -- 2.1 The Human Connectome Project Dataset -- 2.2 Data Preprocessing -- 2.3 3D FOD Inpainting Framework -- 2.4 Feature Encoding Stage -- 2.5 Order-Wise Coefficient Decoders -- 2.6 Implementation Details -- 3 Experimental Results -- 3.1 Inpainting Quality Analysis -- 3.2 Connectome Matrix Analysis -- 4 Conclusion -- References -- Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-supervised Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Microstructure Model -- 2.2 Combined T1-Diffusion in Vivo Data -- 2.3 Simulated Data -- 2.4 Non-linear Least Squares Fitting -- 2.5 Self-supervised Model Fitting -- 3 Results -- 3.1 Simulated Data -- 3.2 Real Data -- 4 Discussion -- 5 Conclusion -- References -- Stepwise Stochastic Dictionary Adaptation Improves Microstructure Reconstruction with Orientation Distribution Function Fingerprinting -- 1 Introduction -- 2 Methods -- 2.1 Biophysical Diffusion Model -- 2.2 Orientation Distribution Function Fingerprinting -- 2.3 Stepwise Stochastic Adaptation of a Dictionary -- 2.4 Data -- 2.5 Evaluation -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? -- 1 Introduction -- 2 ML Solutions to the dMRI Parameter Estimation Problem and the Theoretical Benefits of S-CNNs -- 2.1 Fully-Connected Networks -- 2.2 Spherical CNNs -- 3 Experiments -- 3.1 Experiment 1 -- 3.2 Experiment 2 -- 4 Results and Discussion -- 4.1 For Experiment 1 -- 4.2 For Experiment 2 -- 5 Conclusion -- References -- Tractography and WM Pathways -- DC2U-Net: Tract Segmentation in Brain White Matter Using Dense Criss-Cross U-Net -- 1 Introduction -- 2 Methods -- 2.1 Dense Criss-Cross U-Net -- 2.2 Dense Criss-Cross Attention (DCCA) Block.
2.3 Deeply Supervised Loss Function -- 3 Experiments -- 3.1 Dataset and Implementation Details -- 3.2 Results -- 3.3 Ablation Analysis of DC2U-Net -- 4 Conclusion -- References -- Clustering in Tractography Using Autoencoders (CINTA) -- 1 Introduction -- 1.1 Related Work -- 2 Material and Methods -- 3 Experiments -- 4 Results -- 5 Discussion -- 6 Conclusion -- A Appendix -- A.1 Misclassified Streamlines -- A.2 Time Computational Requirements -- References -- Tractometric Coherence of Fiber Bundles in DTI -- 1 Introduction -- 2 Theory -- 3 Experiments -- 4 Discussion -- References -- Author Index.
Record Nr. UNISA-996500061103316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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. UNISA-996466396303316
Cham, Switzerland : , : Springer, , [2021]
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