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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
• Edizione: 1st ed. 2017.
• Descrizione fisica: 1 online resource (XV, 186 p. 74 illus.)
• Disciplina: 616.07540285
• 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
• Persona (resp. second.): CardosoM. Jorge; ArbelTal; GaoFei; KainzBernhard; van WalsumTheo; ShiKuangyu; BhatiaKanwal K; PeterRoman; VercauterenTom; ReyesMauricio; DalcaAdrian; WiestRoland; NiessenWiro; EmmerBart J
• Nota di bibliografia: Includes bibliographical references and index.
• 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.
• Sommario/riassunto: This book constitutes the refereed joint proceedings of the International Workshop on Computational Methods for Molecular Imaging, CMMI 2017, the International Workshop on Reconstruction and Analysis of Moving Body Organs, RAMBO 2017, and the International Stroke Workshop: Imaging and Treatment Challenges, SWITCH 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 5 full papers presented at FIFI 2017, the 9 full papers presented at RAMBO 2017, and the 4 full papers presented at SWITCH 2017 were carefully reviewed and selected. The CMMI papers cover various areas from image synthesis to data analysis and from clinical diagnosis to therapy individualization, using molecular imaging modalities PET, SPECT, PET/CT, SPECT/CT, and PET/MR. The RAMBO papers present research from both academia and industry, They are organized into the categories "registration and tracking" and "image reconstruction and information retrieval" while application areas include cardiac, pulmonal, abdominal, fetal, and renal imaging. The SWITCH papers focus on CT(A)-based quantitative imaging biomarkers for stroke.
• Titolo autorizzato: Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment
• ISBN: 3-319-67564-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 996466238603316
• Lo trovi qui: Univ. di Salerno
• Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10555