Christian Buerger

Christian Buerger
Philips | Philips · Philips Research, Hamburg

PhD

About

33
Publications
2,221
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728
Citations
Additional affiliations
November 2008 - October 2011
King's College London
Position
  • PhD Student

Publications

Publications (33)
Chapter
Automating opportunistic screening of osteoporotic fractures in computed tomography (CT) images could reduce the underdiagnosis of vertebral fractures. In this work, we present and evaluate an end-to-end pipeline for the detection of osteoporotic compression fractures of the vertebral body in CT images. The approach works in 2 steps: First, a hiera...
Conference Paper
Automatic instance segmentation of individual vertebrae from 3D CT is essential for various applications in orthopedics, neurology, and oncology. In case model-based segmentation (MBS) shall be used to generate a mesh-based representation of the spine, a good initialization of MBS is crucial to avoid wrong vertebra labels due to the similar appeara...
Article
OBJECTIVE The goal of this study was to develop and validate a system for automatic segmentation of the spine, pedicle identification, and screw path suggestion for use with an intraoperative 3D surgical navigation system. METHODS Cone-beam CT (CBCT) images of the spines of 21 cadavers were obtained. An automated model-based approach was used for...
Conference Paper
Automated extraction and labeling of rib centerlines is a typically needed prerequisite for more advanced assisted reading tools that help the radiologist to efficiently inspect all 24 ribs in a computed tomography (CT) volume. In this paper, we combine a deep learning-based rib detection with a dedicated centerline extraction algorithm applied to...
Article
Full-text available
Proton-density fat fraction (PDFF) of the paraspinal muscles, derived from chemical shift encoding-based water-fat magnetic resonance imaging, has emerged as an important surrogate biomarker in individuals with intervertebral disc disease, osteoporosis, sarcopenia and neuromuscular disorders. However, quantification of paraspinal muscle PDFF is cur...
Preprint
Full-text available
Automated extraction and labeling of rib centerlines is a typically needed prerequisite for more advanced assisted reading tools that help the radiologist to efficiently inspect all 24 ribs in a CT volume. In this paper, we combine a deep learning-based rib detection with a dedicated centerline extraction algorithm applied to the detection result f...
Article
Full-text available
Purpose: Develop a nonrigid motion corrected reconstruction for highly accelerated free-breathing three-dimensional (3D) abdominal images without external sensors or additional scans. Methods: The proposed method accelerates the acquisition by undersampling and performs motion correction directly in the reconstruction using a general matrix desc...
Article
T2-weighted magnetic resonance imaging (MRI) is commonly used for anatomical visualization in the pelvis area, such as the prostate, with high soft-tissue contrast. MRI can also provide functional information such as diffusion-weighted imaging (DWI) which depicts the molecular diffusion processes in biological tissues. The combination of anatomical...
Article
In this paper, a novel model-based segmentation of the vertebrae is introduced that uses multi-modal image features from Dixon MR images (i.e. water/fat separated).Our primary application is the segmentation of the bony anatomy for the generation of attenuationmaps in hybrid PET/MR imaging systems. The focus of thiswork is on the geometric accuracy...
Article
Purpose: Adaptive radiation therapy aims at compensating anatomical variations during a radiotherapy course by modifying the treatment plan accordingly. Therefore regions of interest (ROIs) have to be defined in the most recent imaging data. We investigated three different non-rigid image registration algorithms to automatically propagate ROIs fro...
Article
Full-text available
Following continuous improvement in PET spatial resolution, respiratory motion correction has become an important task. Two of the most common approaches that utilize all detected PET events to motion-correct PET data are the reconstruct-transform-average method (RTA) and motion-compensated image reconstruction (MCIR). In RTA, separate images are r...
Article
Object: A common approach to compensate for respiratory motion in free-breathing 3D magnetic resonance imaging (MRI) is navigator gating where MRI data is only acquired when the respiratory signal coincides within a small predefined acceptance window. However, this leads to poor scan efficiency and prolonged scan times. Here, we propose a method t...
Article
In hybrid PET/MR systems, attenuation maps can be derived from MR to correct for attenuation in PET. However, MR-based attenuation correction (AC) in abdominal applications remains challenging (i) because of poor signal from important tissue types in common MR sequences (e.g., cortical bone) and (ii) because of respiratory motion which results in m...
Conference Paper
Respiratory motion modeling is a key method improving the accuracy of both diagnostic and therapeutic applications of multi-modality imaging. Most of the respiratory motion models presented to date are patient specific, based on 4D CT or MRl datasets. They require a 4D anatomical image acquisition for every patient, implying in the case of CT an as...
Article
Cardiovascular diseases, including arrhythmias and heart failure, are commonly treated with percutaneous procedures guided by X-ray fluoroscopy. The visualization of the targeted structures can be enhanced using preacquired respiratory-resolved anatomic data (dynamic roadmap), which is displayed as an overlay onto X-ray fluoroscopy images. This art...
Article
Magnetic resonance imaging (MRI) has been commonly used for guiding and planning image guided interventions since it provides excellent soft tissue visualization of anatomy and allows motion modeling to predict the position of target tissues during the procedure. However, MRI-based motion modeling remains challenging due to the difficulty of acquir...
Article
Respiratory motion models have potential application for estimating and correcting the effects of motion in a wide range of applications, for example in PET-MR imaging. Given that motion cycles caused by breathing are only approximately repeatable, an important quality of such models is their ability to capture and estimate the intra- and inter-cyc...
Conference Paper
In hybrid imaging systems where positron emission tomography (PET) is combined with magnetic resonance (MR) imaging, attenuation maps can be derived from MR to correct for attenuation in PET. However, MR-based attenuation correction (AC) remains challenging especially for tissue types showing poor signal in common MR sequences, such as bone. To ove...
Conference Paper
Positron Emission Tomography (PET) is an imaging method affected by motion artifacts. PET-MR simultaneous acquisition may provide a means to correct for the effects of motion. Evaluation and development of motion correction techniques requires the development of phantoms capable for continuous and realistic motion. For this study, phantoms have bee...
Conference Paper
Respiratory motion during PET imaging causes the resulting PET images to become corrupted by artefacts. In this paper we describe a technique for motion-correction of PET data based on MR imaging that is suitable for use in a simultaneous PET-MR imaging system. The technique is based on the formation of a subject-specific respiratory motion model f...
Article
This work introduces and evaluates a fast analytic simulation toolkit (FAST) for simulating dynamic PET-MR data from real MR acquisitions. Realistic radiotracer values are assigned to segmented MR images. PET data are generated using analytic forward-projections (including attenuation and Poisson statistics) with the reconstruction software STIR, w...
Article
Full-text available
We have implemented and evaluated a framework for simulating simultaneous dynamic PET-MR data using the anatomic and dynamic information from real MR acquisitions. PET radiotracer distribution is simulated by assigning typical FDG uptake values to segmented MR images with manually inserted additional virtual lesions. PET projection data and images...
Article
Non-rigid image registration techniques are commonly used to estimate complex tissue deformations in medical imaging. A range of non-rigid registration algorithms have been proposed, but they typically have high computational complexity. To reduce this complexity, combinations of multiple less complex deformations have been proposed such as hierarc...
Article
Positron emission tomography (PET) provides an accurate measurement of radiotracer concentration in vivo, but performance can be limited by subject motion which degrades spatial resolution and quantitative accuracy. This effect may become a limiting factor for PET studies in the body as PET scanner technology improves. In this work, we propose a ne...
Conference Paper
Motion models have been widely applied as a solution to the problem of organ motion in both image acquisition and image guided interventions. The traditional approach to constructing motion models from dynamic images involves first coregistering the images to produce estimates of motion parameters, and then modelling the variation of these paramete...
Conference Paper
Non-rigid image registration techniques are commonly used to estimate respiratory motion. Due to the computational complexity of freeform techniques based on control points, hierarchical techniques have been proposed which successively sub-divide the non-rigid registration problem into multiple locally rigid or affine components. A potential drawba...
Conference Paper
We have implemented a scheme for simulating realistic dynamic PET data from real MR acquisitions. This toolkit uses a series of MR acquisitions, image registrations and segmentations. PET images are simulated assigning typical values to the segmented images, and manually inserting additional lesions. The data are simulated using analytic forward-pr...
Article
Pleural thickenings are caused by asbestos exposure and may evolve into malignant pleural mesothelioma. The detection of pleural thickenings is today mostly done by a visual inspection of CT data, which is time-consuming and underlies the physician's subjective judgment. We propose a new detection algorithm within our computer-assisted diagnosis (C...

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