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Chapter and Conference Paper
Automatic Vessel Segmentation and Aneurysm Detection Pipeline for Numerical Fluid Analysis
Computational Fluid Dynamic calculations are a great assistance for rupture prediction of cerebral aneurysms. This procedure requires a consistent surface, as well as a separation of the blood vessel and aneur...
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Article
Open AccessCharacterization of the Airflow within an Average Geometry of the Healthy Human Nasal Cavity
This study’s objective was the generation of a standardized geometry of the healthy nasal cavity. An average geometry of the healthy nasal cavity was generated using a statistical shape model based on 25 sympt...
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Chapter and Conference Paper
Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks
We present an automated method for extrapolating missing regions in label data of the skull in an anatomically plausible manner. The ultimate goal is to design patient-specific cranial implants for correcting ...
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Chapter and Conference Paper
Unsupervised Learning and Statistical Shape Modeling of the Morphometry and Hemodynamics of Coarctation of the Aorta
Image-based patient-specific modeling of blood flow is a current state of the art approach in cardiovascular research proposed to support diagnosis and treatment decision. However, the approach is time-consuming,...
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Chapter
Statistical Shape Models: Understanding and Mastering Variation in Anatomy
In our chapter we are describing how to reconstruct three-dimensional anatomy from medical image data and how to build Statistical 3D Shape Models out of many such reconstructions yielding a new kind of anatom...
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Chapter and Conference Paper
3D Shape Analysis for Coarctation of the Aorta
A population of 54 cases diagnosed with coarctation of the aorta (CoA) was investigated for correlations between complex 3D shape and clinical parameters. Based on a statistical shape model (SSM) of the aortic...
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Article
Validation of three-dimensional models of the distal femur created from surgical navigation point cloud data for intraoperative and postoperative analysis of total knee arthroplasty
Despite the success of total knee arthroplasty, there continues to be a significant proportion of patients who are dissatisfied. One explanation may be a shape mismatch between pre- and postoperative distal fe...
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Chapter and Conference Paper
Robust and Accurate Appearance Models Based on Joint Dictionary Learning Data from the Osteoarthritis Initiative
Deformable model-based approaches to 3D image segmentation have been shown to be highly successful. Such methodology requires an appearance model that drives the deformation of a geometric model to the image d...
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Chapter
Statistical Shape Modeling of Musculoskeletal Structures and Its Applications
Statistical shape models (SSM) describe the shape variability contained in a given population. They are able to describe large populations of complex shapes with few degrees of freedom. This makes them a usefu...
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Article
Flexible Shape Matching with Finite Element Based LDDMM
The Large Deformation Diffeomorphic Metric Map** (LDDMM) framework acting on currents is a conceptually powerful tool for matching highly varying shapes. In the classical approach, the numerical treatment is...
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Chapter and Conference Paper
Automatic Detection and Classification of Teeth in CT Data
We propose a fully automatic method for tooth detection and classification in CT or cone-beam CT image data. First we compute an accurate segmentation of the maxilla bone. Based on this segmentation, our metho...
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Chapter and Conference Paper
Feature-Preserving, Multi-material Mesh Generation Using Hierarchical Oracles
This paper presents a method for meshing multi-material domains with additional features curves. This requirement arises for instance in situations where smooth objects (e.g. anatomical structures) are combine...
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Chapter
An Articulated Statistical Shape Model of the Human Knee
In this work we present an articulated statistical shape model (ASSM) of the human knee. The model incorporates statistical shape variation plus explicit degrees of freedom that model physiological joint motio...
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Chapter
Automatic Calibration of 3D Ultrasound Probes
Navigation systems based on intra-operative ultrasound have been introduced for different surgical procedures and interventions. The accuracy of the ultrasound probe calibration is a main contribution to the o...
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Article
3D reconstruction of the human rib cage from 2D projection images using a statistical shape model
This paper describes an approach for the three-dimensional (3D) shape and pose reconstruction of the human rib cage from few segmented two-dimensional (2D) projection images. Our work is aimed at supporting te...
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Chapter and Conference Paper
Subject-Specific Ligament Models: Toward Real-Time Simulation of the Knee Joint
We present an efficient finite element method to simulate a transversely isotropic nonlinear material for ligaments. The approach relies on tetrahedral elements and exploits the geometry to optimize computatio...
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Chapter and Conference Paper
Automatic Extraction of Mandibular Nerve and Bone from Cone-Beam CT Data
The exact localization of the mandibular nerve with respect to the bone is important for applications in dental implantology and maxillofacial surgery. Cone beam computed tomography (CBCT), often also called d...
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Article
3D ultrasound-CT registration of the liver using combined landmark-intensity information
An important issue in computer-assisted surgery of the liver is a fast and reliable transfer of preoperative resection plans to the intraoperative situation. One problem is to match the planning data, derived ...
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Chapter and Conference Paper
Segmentation of Bony Structures with Ligament Attachment Sites
This work presents an approach towards reconstructing ligament and tendon attachment sites from 3D medical image data. We apply statistical shape models with an additional free form step to reconstruct the ana...
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Chapter and Conference Paper
Coupling Deformable Models for Multi-object Segmentation
For biomechanical simulations, the segmentation of multiple adjacent anatomical structures from medical image data is often required. If adjacent structures are hardly distinguishable in image data, automatic ...
