Bildverarbeitung für die Medizin 2019

Name: Bildverarbeitung für die Medizin 2019 | Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck
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Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 17. bis 19. März 2019 in Lübeck

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

Springer Vieweg (Verlag)

1. Auflage

Erschienen am 6. Februar 2019

XXII, 356 Seiten

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Intro
Bildverarbeitung für die Medizin 2019
Sponsoren des Workshops BVM 2019
Beste wissenschaftliche Arbeiten
Beste Präsentationen:
Bestes Poster
Vorwort
Inhaltsverzeichnis
1 Abstract: Anchor-Constrained Plausibility. A Novel Concept for Assessing Tractography and Reducing False-Positives
References
2 Automatic Detection of Blood Vessels in Optical Coherence Tomography Scans
1 Introduction
2 Materials and methods
2.1 Methodology
3 Results
4 Discussion
References
3 Prediction of Liver Function Based on DCE-CT
1 Introduction
2 Methods
2.1 Dataset
2.2 Pre-processing
2.3 Model architecture and training
2.4 Prediction generation and statistical evaluation
3 Results
4 Discussion
5 Conclusion
References
4 Abstract: Adversarial Examples as Benchmark for Medical Imaging Neural Networks
References
5 Evaluation of Image Processing Methods for Clinical Applications. Mimicking Clinical Data Using Conditional GANs
1 Introduction
2 Materials and methods
2.1 Style transfer using conditional generative adversarial networks
2.2 Medical image style transfer
2.3 Network architecture
3 Results
3.1 Data and setup
3.2 Experiments and results
4 Discussion and conclusion
References
6 Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
References
7 Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
References
8 Deep Multi-Modal Encoder-Decoder Networks for Shape Constrained Segmentation and Joint Representation Learning
1 Introduction
2 Materials and methods
2.1 Joint training
2.2 Implementation details and experiments
3 Results
4 Conclusion
References
9 Abstract: Fan-to-Parallel Beam Conversion. Deriving Neural Network Architectures Using Precision Learning
References
10 Abstract: Tract Orientation Mapping for Bundle-Specific Tractography
References
11 Segmentation of Vertebral Metastases in MRI Using an U-Net like Convolutional Neural Network
1 Introduction
2 Materials and methods
2.1 Image data and pre-processing
2.2 Network architecture
2.3 Evaluation
3 Results
4 Discussion
References
12 Synthetic Training with Generative Adversarial Networks for Segmentation of Microscopies
1 Introduction
2 Materials and methods
2.1 Generative adversarial networks
2.2 StackGAN
2.3 Pix2pixHD GAN
3 Results
3.1 Generating label maps for esophagus
3.2 Transfer of label maps to esophagus microscopy images
3.3 Training a U-Net with synthetic image pairs
4 Discussion
References
13 Gradient-Based Expanding Spherical Appearance Models for Femoral Model Initialization in MRI
1 Introduction
2 Materials and methods
2.1 GESAM
2.2 Evaluation
3 Results
4 Discussion
References
14 Deep Segmentation Refinement with Result-Dependent Learning. A Double U-Net for Hip Joint Segmentation in MRI
1 Introduction
2 Materials and methods
2.1 Deep segmentation refinement
2.2 Evaluation
3 Results
4 Discussion
4.1 Conclusion
References
15 Abstract: Automatic Estimation of Cochlear Duct Length and Volume Size
References
16 Interactive Neural Network Robot User Investigation for Medical Image Segmentation
1 Introduction
2 Materials and methods
2.1 Random sampling over whole image (rand)
2.2 Random sampling from GT (rand gt)
2.3 Robot user by Kohli et al. (kohli12)
2.4 Robot user by Xu et al. (xu16)
2.5 Robot user by Wang et al. (wang17)
3 Experiments
4 Results
5 Discussion and outlook
References
17 Tracing of Nerve Fibers Through Brain Regions of Fiber Crossings in Reconstructed 3D-PLI Volumes
1 Introduction
2 Materials and methods
3 Results
4 Discussion
References
18 Dilated Deeply Supervised Networks for Hippocampus Segmentation in MRI
1 Introduction
2 Methodology
2.1 Data acquisition
2.2 Training procedures
3 Results and discussion
4 Conclusion
References
19 Automatic Detection and Segmentation of the Acute Vessel Thrombus in Cerebral CT
1 Introduction
1.1 Related work
2 Methods
2.1 Clot candidates segmentation
2.2 Clot classification
3 Experiments
3.1 Data
3.2 Results
4 Discussion
References
20 Sparsely Connected Convolutional Layers in CNNs for Liver Segmentation in CT
1 Introduction
2 Materials and methods
2.1 Network
2.2 Data
2.3 Training
2.4 Experimental design and evaluation metrics
3 Results
3.1 LiTS
3.2 IRCAD
4 Discussion
References
21 Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus
1 Introduction
2 Materials and methods
2.1 Data acquisition and segmentation
2.2 Data processing
3 Results
4 Discussion
References
22 User Loss. A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction
1 Introduction
2 Methods
2.1 Subband decomposition
2.2 Soft-thresholding
2.3 Neural network
2.4 User loss
3 Experiments and results
3.1 Qualitative results
3.2 Quantitative evaluation
4 Conclusion and discussion
References
23 Sodium Image Denoising Based on a Convolutional Denoising Autoencoder
1 Introduction
2 Methods
2.1 Denoising autoencoder
2.2 Training
3 Evaluation
3.1 Materials
3.2 Results
4 Discussion
References
24 Improved X-Ray Bone Segmentation by Normalization and Augmentation Strategies
1 Introduction
2 Materials and methods
2.1 Formulation of input and feature normalization
2.2 Data augmentation strategies
2.3 Dataset
2.4 Ablation study and performance metrics
3 Results
4 Discussion
References
25 Multi-Modal Super-Resolution with Deep Guided Filtering
1 Introduction
2 Methods
2.1 The guided filter
2.2 End-to-end trainable guided filter
3 Experiments
4 Results
5 Discussion
6 Conclusion
References
26 Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration
1 Introduction
2 Materials and methods
2.1 Cell stretching and image acquisition
2.2 Semi-automatic cell correspondence analysis
3 Results
4 Discussion
References
27 Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation
1 Introduction
2 Materials and methods
2.1 RGBD imaging setup and data acquisition
2.2 Preprocessing
2.3 Template fitting
2.4 Atlas generation
2.5 Skin entrance dose estimation
3 Evaluation and results
4 Discussion
References
28 Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories
1 Introduction
2 Materials and methods
2.1 Rigid motion model
2.2 Nonequidistant sampling scheme
2.3 Regularization
2.4 Motion estimation gradient
2.5 Image reconstruction
2.6 Test setup
3 Results
4 Discussion
References
29 Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency
1 Introduction
2 CIV look-up-table
3 Student's t-distribution-based maximum likelihood estimation for consistency optimization
4 Experiments and results
4.1 Experimental Setup
4.2 Motion Compensation
4.3 Results
5 Conclusion
References
30 Retrospective Blind MR Image Recovery with Parametrized Motion Models
1 Introduction
2 Methods
2.1 Optimization scheme
2.2 Image reconstruction
2.3 Motion update
2.4 Test setup
3 Results
4 Discussion
References
31 Model-Based Motion Artifact Correction in Digital Subtraction Angiography Using Optical-Flow
1 Introduction
2 Materials and methods
2.1 Image formation and noise model
2.2 Deformable registration of mask and fill images
2.3 Material
3 Results
4 Discussion and conclusion
References
32 MedicVR. Acceleration and Enhancement Techniques for Direct Volume Rendering in Virtual Reality
1 Introduction
2 Materials and methods
2.1 Lens matched shading for direct volume rendering
2.2 Volume clipping with the virtual reality plane-tool
2.3 Shadow ray diffuse culling (SRDC)
2.4 Semi-adaptive sampling
3 Results
4 Discussion
References
33 Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images
1 Introduction
2 Materials and methods
2.1 Architecture and tools
2.2 Segmentation evaluation
2.3 Experiment
3 Results
4 Discussion
References
34 Abstract: Phase-Sensitive Region-of-Interest Computed Tomography
References
35 Joint Multiresolution and Background Detection Reconstruction for Magnetic Particle Imaging
1 Introduction
2 Materials and methods
2.1 Multiresolution reconstruction
2.2 Background detection
2.3 Test setup
3 Results
4 Discussion
References
36 Abstract: Double Your Views: Exploiting Symmetry in Transmission Imaging
References
37 3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image
1 Introduction
2 Materials and methods
2.1 Data
2.2 2D segmentation
2.3 Estimation of a virtual projection
2.4 Reconstruction from real and virtual views
3 Results
4 Discussion and conclusion
References
38 Regularized Landmark Detection with CAEs for Human Pose Estimation in the Operating Room
1 Introduction
1.1 Related work
1.2 Contribution
2 Materials and methods
2.1 Pose estimation
2.2 Pose regularization
3 Results
3.1 Pose estimation
3.2 Pose regularization
4 Discussion
References
39 Abstract: Does Bone Suppression and Lung Detection Improve Chest Disease Classification?
References
40 Towards Automated Reporting and Visualization of Lymph Node Metastases of Lung Cancer
1 Introduction
2 Materials and methods
2.1 Structure segmentation
2.2 Vertex mesh generation
3 Results
4 Discussion
References
41 Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks
1 Introduction
2 Materials and methods
2.1 Data
2.2 Preprocessing
2.3 Data composition
2.4 CNN architectures
3 Results
4 Discussion
References
42 Abstract: Interpretable Explanations of Black Box Classifiers Applied on Medical Images by Meaningful Perturbations Using Variational Autoencoders
References
43 Abstract: Deep Transfer Learning for Aortic Root Dilation Identification in 3D Ultrasound Images
References
44 Abstract: Leveraging Web Data for Skin Lesion Classification
References
45 Machbarkeitsstudie zur CNN-basierten Identifikation und TICI-Klassifizierung zerebraler ischämischer Infarkte in DSA-Daten
1 Einleitung
2 Material und Methoden
2.1 Verwendete Bilddaten
2.2 Bilddatenvorverarbeitung
2.3 CNN-Architektur und Datenverarbeitung
2.4 Experimente und Auswertestrategie
3 Ergebnisse
3.1 Paarweise Differenzierung von TICI-Scores
3.2 Differenzierung aller TICI-Scores
3.3 Differenzierung nach Infarktlokalisation
4 Diskussion
Literaturverzeichnis
46 Image-Based Detection of MRI Hardware Failures
1 Introduction
1.1 Hardware failures
2 Materials and methods
2.1 Image quality metrics
2.2 Evaluation methods
3 Results
4 Discussion
References
47 Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers
1 Introduction
2 Materials and methods
2.1 Data set
2.2 Classic model observer
2.3 Neural network architecture and training strategy
3 Results
4 Discussion
References
48 Abstract: Imitating Human Soft Tissue with Dual-Daterial 3D Printing
References
49 A Mixed Reality Simulation for Robotic Systems
1 Introduction
2 Materials and methods
2.1 Desktop and augmented reality visualization
2.2 Room capture
3 Results
4 Discussion
References
50 Image Quality Assessments
1 Introduction
2 Materials and methods
3 Results
4 Discussion
References
51 Abstract: HoloLens. Streaming of 3D Data from Ultrasound Systems to Augmented Reality Glasses
References
52 Open-Source Tracked Ultrasound with Anser Electromagnetic Tracking
1 Introduction
2 Materials and methods
2.1 Tracked ultrasound setup
2.2 Standardized assessment of tracked ultrasound
3 Results
4 Discussion
References
53 Navigierte Interventionen im Kopf- und Halsbereich. Standardisiertes Assessment eines neuen, handlichen Feldgenerators
1 Einleitung
2 Methoden
3 Ergebnisse
4 Diskussion
Literaturverzeichnis
54 Abstract: Multispectral Imaging Enables Visualization of Spreading Depolarizations in Gyrencephalic Brain
References
55 Combining Ultrasound and X-Ray Imaging for Mammography. A Prototype Design
1 Introduction
2 Methods and materials
2.1 Hardware prototype
2.2 Software prototype
2.3 Geometric mapping
3 Results
4 Conclusion
References
56 Towards In-Vivo X-Ray Nanoscopy. Acquisition Parameters vs. Image Quality
1 Introduction
2 Materials and methods
2.1 X-ray physics and photon energy considerations
2.2 Compressive sensing
2.3 Experimental setup
3 Results
4 Discussion
References
57 Abstract: Beamforming Sub-Sampled Raw Ultrasound Data with DeepFormer
References
58 Shape Sensing with Fiber Bragg Grating Sensors. A Realistic Model of Curvature Interpolation for Shape Reconstruction
1 Introduction
2 Materials and methods
2.1 Shape reconstruction
2.2 Averaging cubic interpolation
2.3 Experimental setup
3 Results
4 Discussion
References
59 On the Characteristics of Helical 3D X-Ray Dark-Field Imaging
1 Introduction
2 Materials and methods
2.1 Dark-field with 2D trajectories
2.2 Dark-field with a 3D helical trajectory
3 Experiments and results
3.1 Experiment 1
3.2 Experiment 2
3.3 Experiment 3
4 Discussion
References
60 Effects of Tissue Material Properties on X-Ray Image, Scatter and Patient Dose. A Monte Carlo Simulation
1 Introduction
2 Materials and methods
2.1 Phantom model geometry and material parameters
2.2 Detector model
2.3 Simulation of experimental setup
3 Results
3.1 Scatter and dose distributions
3.2 X-ray images
4 Summary
References
61 Isocenter Determination from Projection Matrices of a C-Arm CBCT
1 Introduction
2 Materials and methods
2.1 Background: the projection matrix
2.2 Isocenter computation methods
2.3 Experiments
3 Results
4 Discussion and conclusion
References
62 Improving Surgical Training Phantoms by Hyperrealism. Deep Unpaired Image-to-Image Translation from Real Surgeries
References
63 Evaluation of Spatial Perception in Virtual Reality within a Medical Context
1 Introduction
2 Materials and methods
2.1 Glyph design
2.2 Heatmap design
2.3 Pseudo-chromadepth design
2.4 Experiment
3 Results
4 Discussion
References
64 Simulation von Radiofrequenzablationen für die Leberpunktion in 4D-VR-Simulationen
1 Einleitung
2 Material und Methoden
2.1 Randbedingungen
2.2 Berücksichtigung der Atembewegung
2.3 Evaluationsmethode
3 Ergebnisse
3.1 Simulation der Temperaturausbreitung
3.2 Rendering-Performance
4 Diskussion
Literaturverzeichnis
65 Abstract: An SVR-Based Data-Driven Leaflet Modeling Approach for Personalized Aortic Valve Prosthesis Development
References
66 Mitral Valve Quantification at a Glance. Flattening Patient-Specific Valve Geometry
1 Introduction
2 Materials and methods
3 Evaluation
4 Results
5 Discussion
References
67 Fully-Deformable 3D Image Registration in Two Seconds
1 Introduction
2 Materials and methods
2.1 Model
2.2 Parallelization
3 Results
3.1 Radboud follow-up CT dataset
3.2 DIR-Lab 4DCT benchmark
4 Discussion
References
68 Abstract: Landmark-Free Initialization of Multi-Modal Image Registration
References
69 Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking
1 Introduction
1.1 Prior work on CNN-Based deformable registration
1.2 Contributions
2 Materials and methods
2.1 Architecture and training
2.2 Experiments
3 Results
4 Discussion
References
70 Respiratory Deformation Estimation in X-Ray-Guided IMRT Using a Bilinear Model
1 Introduction
2 Material and methods
2.1 Respiratory motion models
2.2 Bilinear model for rotational X-ray
2.3 Performance comparison
3 Results
4 Discussion
References
71 Augmented Mitotic Cell Count Using Field of Interest Proposal
1 Introduction
2 Material
3 Methods
3.1 Mitosis as segmentation task
3.2 High power field area proposal
3.3 Convolutional neural network (CNN) structure
4 Results
5 Discussion
References
72 Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks
1 Introduction
2 Methods
2.1 Dataset
2.2 Models and training
3 Results
4 Discussion
References
73 Efficient Construction of Geometric Nerve Fiber Models for Simulation with 3D-PLI
1 Introduction
2 Material and methods
3 Results
4 Discussion
References
74 Resource-Efficient Nanoparticle Classification Using Frequency Domain Analysis
1 Introduction
2 Materials and methods
2.1 PAMONO sensor
2.2 deepRacin
2.3 Modified image processing pipeline
2.4 Spectral and wavelet feature extraction
2.5 Training and classification
3 Results
3.1 Classification performance
3.2 Execution time
4 Discussion
References
75 Black-Box Hyperparameter Optimization for Nuclei Segmentation in Prostate Tissue Images
1 Introduction
2 Methods
2.1 Segmentation pipelines
2.2 HyperHyper optimization framework
3 Experimental results
4 Conclusion
References
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