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Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 477 p. 238 illus., 186 illus. in color.)
Disciplina 616.8
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Health informatics
Machine learning
Computer communication systems
Pattern recognition
Bioinformatics
Image Processing and Computer Vision
Health Informatics
Machine Learning
Computer Communication Networks
Pattern Recognition
Computational Biology/Bioinformatics
ISBN 3-030-11723-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain lesion image analysis.-Brain tumor image segmentation -- Ischemic stroke lesion image segmentation -- Grand challenge on MR brain segmentation -- Computational precision medicine -- Stroke workshop on imaging and treatment challenges. .
Record Nr. UNINA-9910337580003321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 521 p. 231 illus., 187 illus. in color.)
Disciplina 610.285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Health informatics
Machine learning
Computer communication systems
Pattern recognition
Bioinformatics
Image Processing and Computer Vision
Health Informatics
Machine Learning
Computer Communication Networks
Pattern Recognition
Computational Biology/Bioinformatics
ISBN 3-030-11726-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain lesion image analysis.-Brain tumor image segmentation -- Ischemic stroke lesion image segmentation -- Grand challenge on MR brain segmentation -- Computational precision medicine -- Stroke workshop on imaging and treatment challenges. .
Record Nr. UNINA-9910337580403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part II / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 521 p. 231 illus., 187 illus. in color.)
Disciplina 610.285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Health informatics
Machine learning
Computer communication systems
Pattern recognition
Bioinformatics
Image Processing and Computer Vision
Health Informatics
Machine Learning
Computer Communication Networks
Pattern Recognition
Computational Biology/Bioinformatics
ISBN 3-030-11726-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain lesion image analysis.-Brain tumor image segmentation -- Ischemic stroke lesion image segmentation -- Grand challenge on MR brain segmentation -- Computational precision medicine -- Stroke workshop on imaging and treatment challenges. .
Record Nr. UNISA-996466073903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries [[electronic resource] ] : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I / / edited by Alessandro Crimi, Spyridon Bakas, Hugo Kuijf, Farahani Keyvan, Mauricio Reyes, Theo van Walsum
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 477 p. 238 illus., 186 illus. in color.)
Disciplina 616.8
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Health informatics
Machine learning
Computer communication systems
Pattern recognition
Bioinformatics
Image Processing and Computer Vision
Health Informatics
Machine Learning
Computer Communication Networks
Pattern Recognition
Computational Biology/Bioinformatics
ISBN 3-030-11723-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Brain lesion image analysis.-Brain tumor image segmentation -- Ischemic stroke lesion image segmentation -- Grand challenge on MR brain segmentation -- Computational precision medicine -- Stroke workshop on imaging and treatment challenges. .
Record Nr. UNISA-996466470403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment [[electronic resource] ] : Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian Dalca, Roland Wiest, Wiro Niessen, Bart J. Emmer
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment [[electronic resource] ] : Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian Dalca, Roland Wiest, Wiro Niessen, Bart J. Emmer
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XV, 186 p. 74 illus.)
Disciplina 616.07540285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Artificial intelligence
Health informatics
Information storage and retrieval
Image Processing and Computer Vision
Pattern Recognition
Artificial Intelligence
Health Informatics
Information Storage and Retrieval
ISBN 3-319-67564-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Workshop Editors -- Preface CMMI 2017 -- Organization -- Preface RAMBO 2017 -- Organization -- Preface SWITCH 2017 -- Organization -- Contents -- Fifth International Workshop on Computational Methods for Molecular Imaging, CMMI 2017 -- 3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs -- Abstract -- 1 Introduction -- 2 Method -- 2.1 The Fully Connected CRFs Model -- 2.2 Inference of CRFs Model -- 3 Evaluation and Results -- 3.1 Database -- 3.2 Evaluation Metrics -- 3.3 Estimation of the Parameters in CRF Model -- 3.4 Results -- 4 Conclusion and Perspectives -- References -- Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Data Preprocessing -- 2.3 Subject-Specific Analysis of PET Data -- 2.4 Validation Scheme -- 3 Results -- 4 Discussion and Conclusion -- References -- W-Net for Whole-Body Bone Lesion Detection on 68Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients -- 1 Introduction -- 2 Method and Experiment -- 2.1 Data Preparation and Preprocessing -- 2.2 W-Net Deep Learning Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- 3D Alpha Matting Based Co-segmentation of Tumors on PET-CT Images -- 1 Introduction -- 2 Methodology -- 2.1 Active Contour Based 3D Trimap Generation -- 2.2 3D Alpha Matting Based Tumor Object Probability Maps -- 2.3 Context-Aware Co-segmentation -- 3 Experiment -- 3.1 Datasets -- 3.2 Experiment Settings -- 3.3 Results and Analysis -- 4 Conclusion -- References -- Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) -- 1 Introduction -- 2 Methods -- 2.1 Multi-channel Generative Adversarial Networks (M-GANs) -- 2.2 Materials and Implementation Details -- 3 Evaluation.
3.1 Experimental Results for PET Image Synthesis -- 3.2 Using Synthetic PET Images for Training -- 4 Discussion -- 5 Conclusion -- References -- Second International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017 -- Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Statistical Respiratory Motion Patterns -- 2.2 Patch-Based Linear and Nonlinear Motion Estimation -- 3 Results -- 4 Conclusion -- References -- Mass Transportation for Deformable Image Registration with Application to Lung CT -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion and Conclusions -- References -- Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices -- 1 Introduction -- 2 Methods -- 2.1 Renal DW-MRI Acquisition -- 2.2 3D Motion Tracking and Correction of Sequentially Acquired Slices -- 2.3 Spatially Constrained IVIM Parameter Estimation -- 2.4 Weighted Least Squares Diffusion Tensor Model Estimation -- 3 Results -- 4 Conclusion -- References -- Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise -- 1 Introduction -- 2 Methods -- 2.1 Highly Accelerated Dynamic MRI -- 2.2 Cardiac Synchronization -- 2.3 Respiratory Gating -- 2.4 Cine Reconstruction -- 3 Experiments and Results -- 4 Discussion -- References -- CoronARe: A Coronary Artery Reconstruction Challenge -- 1 Introduction -- 2 Materials and Methods -- 2.1 Scope and Specific Goals -- 2.2 Data -- 2.3 Evaluation Protocol and Ranking -- 2.4 Ranking -- 2.5 Submission Guidelines and Formats -- 3 Discussion and Outlook -- References -- Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks -- Abstract.
1 Introduction -- 2 Method -- 2.1 Spatially-Conditioned Generative Adversarial Learning -- 2.2 Network Architecture -- 2.3 Validation Experiment -- 3 Results -- 4 Conclusion and Discussion -- Acknowledgement -- References -- Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Evaluation and Results -- 5 Discussion and Conclusion -- References -- Reconstruction of 3D Cardiac MR Images from 2D Slices Using Directional Total Variation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Acquisition -- 2.2 Super-Resolution Algorithm -- 2.3 Validation -- 3 Results -- 4 Discussion and Conclusion -- References -- An Efficient Multi-resolution Reconstruction Scheme with Motion Compensation for 5D Free-Breathing Whole-Heart MRI -- 1 Introduction -- 2 Material and Methods -- 2.1 Compressed Sensing Reconstruction -- 2.2 Motion Compensated MRI Reconstruction -- 2.3 Extra-Dimensinal (XD) MRI Reconstruction -- 2.4 Multi-resolution Strategy for MC-XD MRI Reconstruction -- 2.5 Data and Experiments Description -- 3 Results and Discussion -- 4 Conclusion -- References -- First International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017 -- Automated Ventricular System Segmentation in CT Images of Deformed Brains Due to Ischemic and Subara ... -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patient Selection -- 2.2 Method Overview -- 2.3 Accuracy -- 3 Results -- 4 Discussion -- References -- Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositi ... -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects and Scanning Protocols -- 2.2 Collateral Circulation Scoring for Patients -- 2.3 Image Processing -- 2.4 Blood Vessel Extraction -- 2.5 Eigen Vessel Patterns and Score Assignment.
2.6 Training and Validation -- 3 Results -- 3.1 Low-Rank Image Decomposition -- 3.2 Eigen Vessel Patterns -- 3.3 Automatic Collateral Circulation Scoring Results -- 4 Discussion and Future Work -- 5 Conclusions -- References -- The Effect of Non-contrast CT Slice Thickness on Thrombus Density and Perviousness Assessment -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Patient Selection -- 2.2 Slice Reconstruction -- 2.3 Density and Perviousness Measurements -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- Acknowledgements -- References -- Quantitative Collateral Grading on CT Angiography in Patients with Acute Ischemic Stroke -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patient Selection -- 2.2 Outcomes -- 2.3 Manual Collateral Score -- 2.4 Quantitative Collateral Score -- 2.5 Assessment of Tissue Outcome -- 2.6 Statistical Analysis -- 3 Results -- 4 Discussion -- Funding -- References -- Author Index.
Record Nr. UNINA-9910484560903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment [[electronic resource] ] : Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian Dalca, Roland Wiest, Wiro Niessen, Bart J. Emmer
Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment [[electronic resource] ] : Fifth International Workshop, CMMI 2017, Second International Workshop, RAMBO 2017, and First International Workshop, SWITCH 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings / / edited by M. Jorge Cardoso, Tal Arbel, Fei Gao, Bernhard Kainz, Theo van Walsum, Kuangyu Shi, Kanwal K. Bhatia, Roman Peter, Tom Vercauteren, Mauricio Reyes, Adrian Dalca, Roland Wiest, Wiro Niessen, Bart J. Emmer
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XV, 186 p. 74 illus.)
Disciplina 616.07540285
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Optical data processing
Pattern recognition
Artificial intelligence
Health informatics
Information storage and retrieval
Image Processing and Computer Vision
Pattern Recognition
Artificial Intelligence
Health Informatics
Information Storage and Retrieval
ISBN 3-319-67564-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Workshop Editors -- Preface CMMI 2017 -- Organization -- Preface RAMBO 2017 -- Organization -- Preface SWITCH 2017 -- Organization -- Contents -- Fifth International Workshop on Computational Methods for Molecular Imaging, CMMI 2017 -- 3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs -- Abstract -- 1 Introduction -- 2 Method -- 2.1 The Fully Connected CRFs Model -- 2.2 Inference of CRFs Model -- 3 Evaluation and Results -- 3.1 Database -- 3.2 Evaluation Metrics -- 3.3 Estimation of the Parameters in CRF Model -- 3.4 Results -- 4 Conclusion and Perspectives -- References -- Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Data Preprocessing -- 2.3 Subject-Specific Analysis of PET Data -- 2.4 Validation Scheme -- 3 Results -- 4 Discussion and Conclusion -- References -- W-Net for Whole-Body Bone Lesion Detection on 68Ga-Pentixafor PET/CT Imaging of Multiple Myeloma Patients -- 1 Introduction -- 2 Method and Experiment -- 2.1 Data Preparation and Preprocessing -- 2.2 W-Net Deep Learning Architecture -- 3 Results and Discussion -- 4 Conclusion -- References -- 3D Alpha Matting Based Co-segmentation of Tumors on PET-CT Images -- 1 Introduction -- 2 Methodology -- 2.1 Active Contour Based 3D Trimap Generation -- 2.2 3D Alpha Matting Based Tumor Object Probability Maps -- 2.3 Context-Aware Co-segmentation -- 3 Experiment -- 3.1 Datasets -- 3.2 Experiment Settings -- 3.3 Results and Analysis -- 4 Conclusion -- References -- Synthesis of Positron Emission Tomography (PET) Images via Multi-channel Generative Adversarial Networks (GANs) -- 1 Introduction -- 2 Methods -- 2.1 Multi-channel Generative Adversarial Networks (M-GANs) -- 2.2 Materials and Implementation Details -- 3 Evaluation.
3.1 Experimental Results for PET Image Synthesis -- 3.2 Using Synthetic PET Images for Training -- 4 Discussion -- 5 Conclusion -- References -- Second International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017 -- Dynamic Respiratory Motion Estimation Using Patch-Based Kernel-PCA Priors for Lung Cancer Radiotherapy -- Abstract -- 1 Introduction -- 2 Method -- 2.1 Statistical Respiratory Motion Patterns -- 2.2 Patch-Based Linear and Nonlinear Motion Estimation -- 3 Results -- 4 Conclusion -- References -- Mass Transportation for Deformable Image Registration with Application to Lung CT -- 1 Introduction -- 2 Methods -- 3 Experiments and Results -- 4 Discussion and Conclusions -- References -- Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices -- 1 Introduction -- 2 Methods -- 2.1 Renal DW-MRI Acquisition -- 2.2 3D Motion Tracking and Correction of Sequentially Acquired Slices -- 2.3 Spatially Constrained IVIM Parameter Estimation -- 2.4 Weighted Least Squares Diffusion Tensor Model Estimation -- 3 Results -- 4 Conclusion -- References -- Semi-automatic Cardiac and Respiratory Gated MRI for Cardiac Assessment During Exercise -- 1 Introduction -- 2 Methods -- 2.1 Highly Accelerated Dynamic MRI -- 2.2 Cardiac Synchronization -- 2.3 Respiratory Gating -- 2.4 Cine Reconstruction -- 3 Experiments and Results -- 4 Discussion -- References -- CoronARe: A Coronary Artery Reconstruction Challenge -- 1 Introduction -- 2 Materials and Methods -- 2.1 Scope and Specific Goals -- 2.2 Data -- 2.3 Evaluation Protocol and Ranking -- 2.4 Ranking -- 2.5 Submission Guidelines and Formats -- 3 Discussion and Outlook -- References -- Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks -- Abstract.
1 Introduction -- 2 Method -- 2.1 Spatially-Conditioned Generative Adversarial Learning -- 2.2 Network Architecture -- 2.3 Validation Experiment -- 3 Results -- 4 Conclusion and Discussion -- Acknowledgement -- References -- Context-Sensitive Super-Resolution for Fast Fetal Magnetic Resonance Imaging -- 1 Introduction -- 2 Method -- 3 Experiments -- 4 Evaluation and Results -- 5 Discussion and Conclusion -- References -- Reconstruction of 3D Cardiac MR Images from 2D Slices Using Directional Total Variation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Image Acquisition -- 2.2 Super-Resolution Algorithm -- 2.3 Validation -- 3 Results -- 4 Discussion and Conclusion -- References -- An Efficient Multi-resolution Reconstruction Scheme with Motion Compensation for 5D Free-Breathing Whole-Heart MRI -- 1 Introduction -- 2 Material and Methods -- 2.1 Compressed Sensing Reconstruction -- 2.2 Motion Compensated MRI Reconstruction -- 2.3 Extra-Dimensinal (XD) MRI Reconstruction -- 2.4 Multi-resolution Strategy for MC-XD MRI Reconstruction -- 2.5 Data and Experiments Description -- 3 Results and Discussion -- 4 Conclusion -- References -- First International Stroke Workshop on Imaging and Treatment Challenges, SWITCH 2017 -- Automated Ventricular System Segmentation in CT Images of Deformed Brains Due to Ischemic and Subara ... -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patient Selection -- 2.2 Method Overview -- 2.3 Accuracy -- 3 Results -- 4 Discussion -- References -- Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositi ... -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Subjects and Scanning Protocols -- 2.2 Collateral Circulation Scoring for Patients -- 2.3 Image Processing -- 2.4 Blood Vessel Extraction -- 2.5 Eigen Vessel Patterns and Score Assignment.
2.6 Training and Validation -- 3 Results -- 3.1 Low-Rank Image Decomposition -- 3.2 Eigen Vessel Patterns -- 3.3 Automatic Collateral Circulation Scoring Results -- 4 Discussion and Future Work -- 5 Conclusions -- References -- The Effect of Non-contrast CT Slice Thickness on Thrombus Density and Perviousness Assessment -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Patient Selection -- 2.2 Slice Reconstruction -- 2.3 Density and Perviousness Measurements -- 2.4 Statistical Analysis -- 3 Results -- 4 Discussion -- 5 Conclusion -- Acknowledgements -- References -- Quantitative Collateral Grading on CT Angiography in Patients with Acute Ischemic Stroke -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 2.1 Patient Selection -- 2.2 Outcomes -- 2.3 Manual Collateral Score -- 2.4 Quantitative Collateral Score -- 2.5 Assessment of Tissue Outcome -- 2.6 Statistical Analysis -- 3 Results -- 4 Discussion -- Funding -- References -- Author Index.
Record Nr. UNISA-996466238603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui