Bildverarbeitung für die Medizin 2018

Name: Bildverarbeitung für die Medizin 2018 | Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen
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Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen

Andreas Maier Thomas M. Deserno Heinz Handels Klaus Hermann Maier-Hein Christoph Palm Thomas Tolxdorff(Herausgeber*in)

Springer Vieweg (Verlag)

1. Auflage

Erschienen am 20. Februar 2018

XXIII, 384 Seiten

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Intro
Bildverarbeitung für die Medizin 2018
Sponsoren des Workshops BVM 2018
Preisträger des BVM-Workshops 2017 in Lübeck
Vorwort
Inhaltsverzeichnis
1 Systems Medicine The Next Generation of Computer-assisted Precision Medicine
2 Reinventing Bone Surgery From Planning to Execution of a Hard-Tissue Cut
3 From Mechanistic to Data-driven Models for Surgical Planning, Guidance and Simulation
4 Precision Imaging From Population Imaging Analytics to In-silico Clinical Trials
5 Deep Learning Fundamentals
6 Advanced Deep Learning Methods
7 Innovation Generation, Disruption and Exponential Technologies in Medical Imaging
8 Endoscopy
9 Abstract: Digitale Pathologie für mobile Endgeräte
10 Abstract: Digital Cytomorphology Deep Learning on an Image Data Set of Cell Morphologies in Acute Myeloid Leukemia
11 Abstract: First Approaches Towards Automatic Detection of Microaneurysms in OCTA Images
References
12 Abstract: Automatic Malignancy Estimation for Pulmonary Nodules from CT Images
13 Amplitude of brain signals classify hunger status based on machine learning in resting-state fMRI
14 Abstract: Assessment of Segmentation Dependence in Macroscopic Lung Cavity Extraction
15 Abstract: Percutaneous Pelvis Fixation Using the Camera-augmented C-arm First Successes in Ex Vivo Deployment
References
16 Abstract: Augmented Reality im Operationssaal
17 Abstract: Efficient Labeling of Optical Coherence Tomography Angiography Data using Eye Tracking
References
18 Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing
References
19 3D-CNNs for Deep Binary Descriptor Learning in Medical Volume Data
1 Introduction
2 Related work
3 Materials and methods
3.1 Experiments
4 Results
5 Discussion
References
20 Detecting and Measuring Surface Area of Skin Lesions
1 Introduction
2 Material and methods
2.1 Wound segmentation
2.2 Surface area measurement
Evaluation
3 Results
3.1 Discussion and conclusion
References
21 Abstract: Deep Hashing for Large-Scale Medical Image Retrieval
References
22 Abstract: Physiological Parameter Estimation from Multispectral Images Unleashed
Literaturverzeichnis
23 Abstract: Probabilistic Appearance Models for Medical Image Analysis
References
24 Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data
References
25 Abstract: Exploring Sparsity in CNNs for Medical Image Segmentation BRIEFnet
References
26 Abstract: Fast MRI Whole Brain Segmentation with Fully Convolutional Neural Networks
References
27 Patient Surface Model and Internal Anatomical Landmarks Embedding
1 Introduction
2 Materials and methods
2.1 Surface model registration and fitting
2.2 Surface and internal landmark embedding
3 Evaluation and results
4 Discussion
References
28 Comparison of Self-similarity Measures for Multi-modal Non-rigid Registration of 3D-PLI Brain Images
1 Introduction
2 Method
2.1 Self-similarity descriptors
2.2 Scalar conversion of descriptors
2.3 Energy minimization scheme
3 Experimental results
4 Discussion and conclusions
References
29 Two-Step Trajectory Visualization for Robot-Assisted Spine Radiofrequency Ablations
1 Introduction
2 Materials and methods
2.1 Step 1: map visualization of trajectory risk
2.2 Step 2: force prediction from diagnostic scans
3 Results
3.1 Evaluation
4 Discussion
References
30 Unsupervised Pathology Detection in Medical Images using Learning-based Methods
1 Introduction
2 Materials and methods
2.1 Multi-scale PatchMatch
2.2 Conditional variational autoencoder
3 Experiments and results
4 Discussion
References
31 Classification of Lobular and Ductal Breast Carcinomas by Texture Analysis in DCE-MRI Data
1 Introduction
2 Material and methods
2.1 Image data
2.2 Methods
3 Results
4 Discussion
References
32 Abstract: Revealing Hidden Potentials of the q-Space Signal in Breast Cancer
References
33 Elastic Mitral Valve Silicone Replica Made from 3D-Printable Molds Offer Advanced Surgical Training
1 Introduction
2 Materials and methods
2.1 Generation of generic mold parts
2.2 Automatic augmentation with patient-specific parts
2.3 Slicing, printing and silicone casting
3 Results
3.1 Feasibility
3.2 Usefulness
4 Discussion
References
34 Simulation of Realistic Low Dose Fluoroscopic Images from their High Dose Counterparts
1 Introduction
2 Materials and methods
2.1 Image formation and noise model
2.2 Generation of low dose images from high dose images
3 Results
4 Discussion
References
35 Towards Full-body X-ray Images
1 Introduction
2 Materials and methods
2.1 Image acquisition and reconstruction
2.2 Smart x-ray image generation
2.3 Experiment
3 Results
4 Discussion
References
36 Influence of Excitation Signal Coupling on Reconstructed Images in Magnetic Particle Imaging
1 Introduction
1.1 Excitation signal coupling
2 Material and methods
2.1 Hybrid system matrices
2.2 Phantom and reconstruction
3 Results
3.1 System functions
3.2 Reconstructed images
4 Discussion
References
37 A Joint Probabilistic Model for Speckle Variance, Amplitude Decorrelation and Interframe Variance (IFV) Optical Coherence Tomography Angiography
1 Introduction
2 Materials and methods
2.1 Probabilistic models
2.2 Swept source optical coherence tomography
2.3 Observer study
3 Results
4 Discussion
References
38 A Simulation Study and Experimental Verification of Hand-Eye-Calibration using Monocular X-Ray
1 Introduction
2 Methods
3 Experiments
3.1 Hand-eye simulation
3.2 Verification measurements
4 Results
4.1 Hand-eye simulation
4.2 Verification measurements
5 Discussion and conclusion
References
39 Background Correction and Stitching of Histological Plaque Images
1 Introduction
2 Materials and methods
2.1 Vignetting correction
2.2 Stitching
3 Results
3.1 Simulated tiling and vignetting
3.2 Patient data
4 Discussion
References
40 Towards In-Vivo X-Ray Nanoscopy The Effect of Motion on Image Quality
1 Introduction
2 Materials and methods
2.1 Experimental Setup
2.2 Occurring mouse motion
2.3 Inter-scan motion
2.4 Intra-scan motion
3 Results
4 Discussion
References
41 Towards Fully Automated Determination of Laryngeal Adductor Reflex Latencies through High-Speed Laryngoscopy Image Processing
1 Introduction
1.1 LAR stimulation methods
1.2 Image processing applications in laryngoscopy
2 Materials and methods
2.1 Manual lar latency evaluation procedure
2.2 Outline of lar latency determination workflow
3 Results
4 Discussion
References
42 Fourier-based Reduction of Directed Streak Artifacts in Cone-Beam CT
1 Introduction
2 Materials and methods
2.1 Fourier transform
2.2 Wedge-Filter
2.3 Experiments
3 Results
3.1 Qualitative results
3.2 Quantitative results
4 Discussion
References
43 An Open Source Tool for Creating Model Files for Virtual Volume Rendering in PDF Documents
1 Introduction
2 Material and methods
3 Results
4 Discussion
References
44 Comparison of Divergence-Free Filters for Cardiac 4D PC-MRI Data
1 Introduction
2 Methods
2.1 Data acquisition and pre-processing
2.2 Implementation and parameters
2.3 Comparison
3 Results and discussion
4 Conclusion and future work
References
45 Employing Spatial Indexing for Flexibility and Scalability in Brain Biopsy Planning
1 Introduction
2 Concept and implementation
3 Results
4 Discussion
References
46 Measuring Finger Lengths from 2D Palm Scans
1 Introduction
2 Materials and methods
3 Results
4 Discussion
References
47 Towards Analysis of Mental Stress Using Thermal Infrared Tomography
1 Introduction
2 Previous work
3 Materials and methods
3.1 Experiment design
3.2 Image processing methods
4 Experiments and results
5 Discussion
6 Conclusion
References
48 Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images
1 Introduction
2 Materials and methods
2.1 Feature extraction
2.2 Point matching and spline based transformation
3 Results
4 Discussion
References
49 Abstract: Patches in Magnetic Particle Imaging
References
50 Phasenkontrast R¨ontgen mit 2 Phasengittern und medizinisch relevanten Detektoren
1 Einleitung
2 Material und Methoden
3 Ergebnisse
4 Diskussion
Literaturverzeichnis
51 CT-basiertes virtuelles Fr¨asen am Felsenbein Bild- und haptischen Wiederholfrequenzen bei unterschiedlichen Rendering Methoden
1 Einleitung
2 Material und Methoden
3 Ergebnisse
4 Diskussion
Literaturverzeichnis
52 Segmentierung von Brustvolumina in Magnetresonanztomographiedaten unter der Verwendung von Deep Learning
1 Einleitung
2 Material und Methoden
2.1 Eigenschaften der Daten
2.2 Datenvorbereitung und Netzwerkarchitektur
3 Ergebnisse
4 Diskussion
Literaturverzeichnis
53 Einfluss nicht-rigider Bildregistrierung auf 4D-Dosissimulation bei extrakranieller SBRT
1 Einleitung
2 Material und Methoden
2.1 DIR-Algorithmen
2.2 Datenkollektiv
2.3 Korrespondenzmodellbasierte 4D-Dosissimulation
2.4 Simulationen und Evaluationsstrategie
3 Ergebnisse
3.1 DIRLAB-basierte Analyse der DIR-Genauigkeit
3.2 Korrespondenzmodellbasierte 4D-Dosissimulation
4 Diskussion
Literaturverzeichnis
54 Effiziente Segmentierung trachealer Strukturen in MRI-Aufnahmen
1 Einleitung
2 Material und Methoden
2.1 Der Datensatz
2.2 Vorverarbeitungsmethoden
2.3 Die U-Net Architektur
3 Ergebnisse
4 Diskussion
Literaturverzeichnis
55 Abstract: Populationsbasierte 4D Bewegungsatlanten für VR Simulationen
Literaturverzeichnis
56 Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren
57 Abstract: Erweiterung des Bildgebungsbereiches bei der Magnetpartikelbildgebung durch externe axiale Verschiebungen
Literaturverzeichnis
58 Abstract: Random-Forest-basierte Segmentierung der subkutanen Fettschicht der Mäusehaut in 3D-OCT-Bilddaten
Literaturverzeichnis
59 Towards Whole-body CT Bone Segmentation
1 Introduction
2 Materials and methods
2.1 Data
2.2 Architecture
2.3 Training
3 Results
4 Discussion
References
60 Ideal Seed Point Location Approximation for GrowCut Interactive Image Segmentation
1 Introduction
2 Materials and methods
2.1 Evaluation method for seed importance
2.2 Seed location impact approximation
2.3 Interactive application
3 Experiments
4 Results
5 Discussion and outlook
References
61 Transfer Learning for Breast Cancer Malignancy Classification based on Dynamic Contrast-Enhanced MR Images
1 Introduction
2 Materials and methods
2.1 Dataset
2.2 Preprocessing
2.3 Transfer learning
3 Results
4 Discussion
5 Conclusion
References
62 Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography
1 Introduction
2 Materials and methods
2.1 Input and output
2.2 Feature extraction
2.3 Regression models
2.4 Experimental set-up
3 Results
4 Discussion
References
63 Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slices
1 Introduction
2 Materials and methods
3 Results
4 Discussion
References
64 Synthetic Fundus Fluorescein Angiography using Deep Neural Networks
1 Introduction
2 Material and methods
2.1 Database
2.2 Preprocessing
2.3 Network architecture
3 Results
4 Discussion
References
65 Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection
1 Introduction
2 Materials and methods
2.1 Spherical harmonics descriptors in structural MCI characterisation
2.2 Experimental settings
3 Results
4 Discussion
References
66 Classification of Mitotic Cells Potentials Beyond the Limits of Small Data Sets
1 Introduction
2 Related work
3 Material and methods
3.1 Dataset
3.2 Network
4 Results
4.1 Manipulation of the input
4.2 Parameters affecting the feature extraction
4.3 Baseline comparison
5 Conclusion
References
67 Markerless Coil Classification and Localization in a Routine MRI Examination Setting using an RGB-D Camera
1 Introduction
2 Materials and methods
2.1 Synthetic data generation
2.2 Coil ROI extraction
2.3 Coil type classification
2.4 Coil localization
3 Evaluation and Results
4 Discussion
References
68 Comparative Analysis of Unsupervised Algorithms for Breast MRI Lesion Segmentation
1 Introduction
2 Methods and materials
2.1 K-means clustering
2.2 Gaussian mixture model clustering
2.3 Marker-controlled watershed transformation
2.4 Data acquisition
2.5 Pre-processing
3 Experimental results
4 Discussion and conclusion
References
69 Segmentation of Fat and Fascias in Canine Ultrasound Images
1 Introduction
2 Materials and methods
2.1 Pre-processing
2.2 Fat segmentation
2.3 Fascia segmentation
3 Experiments and results
4 Discussion and outlook
References
70 Manifold Learning-based Data Sampling for Model Training
1 Introduction
2 Materials and methods
3 Results
4 Discussion
References
71 Computer-aided Detection of the Most Suitable MRI Sequences for Subsequent Spinal Metastasis Delineation
1 Introduction
2 Materials and methods
3 Results
4 Discussion
References
72 Abstract: Deep Residual Learning for Limited Angle Artefact Correction
References
73 Abstract: AngioUnet A Convolutional Neural Network for Vessel Segmentation in Cerebral DSA Series
Literaturverzeichnis
74 Abstract: Measuring Muscle Contractions from Single Element Transducer Ultrasound Data using Machine Learning Strategies
References
75 Abstract: Automated Segmentation of Bones for the Age Assessment in 3D MR Images using Convolutional Neural Networks
References
76 Abstract: OCT-OCTA Segmentation A Novel Framework and an Application to Segment Bruch's Membrane in the Presence of Drusen
References
77 Human Pose Estimation from Pressure Sensor Data
1 Introduction
2 Materiales and methods
2.1 Multimodal database
2.2 Hash model learning
2.3 Real-time pose estimation
3 Results
4 Discussion
References
78 Force-feedback-assisted Bone Drilling Simulation Based on CT Data
1 Introduction
2 Materials and methods
2.1 Soft- and hardware tools
2.2 Collision detection
2.3 Bone drilling
3 Results
4 Discussion
References
79 Direct Volume Rendering in Virtual Reality
1 Introduction
2 Methods
2.1 VR volume and clipping plane renderer
2.2 VR interaction
2.3 Implementation
3 Evaluation
4 Discussion
References
80 Automatic Multi-modal Cervical Spine Image Atlas Segmentation Using Adaptive Stochastic Gradient Descent
1 Abstract
2 Introduction
3 Materials and methods
4 Results
5 Discussion
References
81 SlideRunner A Tool for Massive Cell Annotations in Whole Slide Images
1 Introduction
1.1 High rating variance in expert annotations
1.2 Prospects of multi label data sets
1.3 Existing software
2 Methods
2.1 Data model
2.2 Blinded annotation
2.3 Guided screening
3 Results
4 Discussion
References
82 Automated Containerized Medical Image Processing Based on MITK and Python A Modular System to Implement Medical Image Processing Pipelines and Visualize Meta Data
References
83 Multi-channel Deep Transfer Learning for Nuclei Segmentation in Glioblastoma Cell Tissue Images
1 Introduction
2 Methods
2.1 Performance measures
3 Experimental results
4 Conclusion
References
84 Stitching Pathological Tissue Images using DOP Feature Tracking
1 Introduction
2 Material and methods
2.1 Feature-based image registration
2.2 DOP Filter
2.3 Panorama generation using DOP
2.4 Evaluation
3 Results
4 Discussion
References
85 Motion Artifact Detection in Confocal Laser Endomicroscopy Images
1 Introduction
1.1 Motion artifacts
2 Materials and methods
2.1 Feature-based motion artifact detection
2.2 Deep learning-based motion artifact detection (artiNet)
3 Results
4 Discussion
References
86 Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections
1 Introduction
2 Materials and Methods
2.1 A "deeper" variational network
2.2 Stochastic generator of training data
2.3 Acquisition of histological sections
3 Results
4 Discussion
References
87 Frangi-Net
1 Introduction
2 Materials and methods
2.1 Frangi vessel enhancement filter
2.2 Pre-weighted Frangi-Net
2.3 Trainable Frangi-Net
3 Results
4 Discussion
References
88 Lung Vessel Enhancement in Low-Dose CT Scans The LANCELOT Method
1 Introduction
2 Materials and methods
3 Results
4 Discussion
4.1 Limitations and future work
References
89 Whole Heart and Great Vessel Segmentation with Context-aware of Generative Adversarial Networks
1 Introduction
2 Methodology
2.1 Generator
2.2 Discriminator
2.3 Context-aware cGAN
3 Experiments and results
3.1 Dataset
3.2 Preprocessing
3.3 Train and test
4 Discussion
5 Conclusion
References
90 Impact of Gradual Vascular Deformations on the Intra-aneurysmal Hemodynamics
1 Introduction
2 Material and methods
2.1 Case description and preparation
2.2 Geometrical interpolation of intermediate configurations
2.3 Hemodynamic simulation
2.4 Extraction of morphological parameters
3 Results
4 Discussion
References
91 Myocardial Twist from X-ray Angiography Can we Observe Left Ventricular Twist in Rotational Coronary Angiography?
1 Introduction
2 Material & methods
2.1 Parametric ellipsoid model
2.2 Centerline reconstruction and static model fitting
2.3 Estimating a dynamic model
2.4 Data and experiments
3 Results
4 Discussion & conclusion
References
92 Abstract: Retrieval of Attenuation Values by the Augmented Likelihood Image Reconstruction in the Presence of Metal Artefacts
References
93 Abstract: Efficient Epipolar Consistency
References
94 Magnetic-Particle-Imaging mit mehreren Gradientenstärken
Literaturverzeichnis
95 3D Adaptive Wavelet Shrinkage Denoising while Preserving Fine Structures
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
References
96 Abstract: QuaSI - Quantile Sparse Image A Prior for Spatio-Temporal Denoising of Retinal OCT Data
References
97 Erratum Zu: Bildverarbeitung für die Medizin 2018
98 Erratum zu: Amplitude of brain signals classify hunger status based on machine learning in resting-state fMRI
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