Peter Hastreiter

Universitätsklinikum Erlangen

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Christopher Nimsky

Center for Behavioral Brain Sciences

Bernd Tomandl

Christophorus Kliniken

Ramin Naraghi

Bundeswehrzentralkrankenhaus Koblenz

Rudolf Fahlbusch

International Neuroscience Institute

Thomas Ertl

University of Stuttgart

Michael Buchfelder

Friedrich-Alexander-Universität Erlangen-Nürnberg

Frank Enders

Sorbonne Université

Oliver Ganslandt

Klinikum Stuttgart

Dorit Merhof

University of Regensburg

Günther Greiner

Friedrich-Alexander-Universität Erlangen-Nürnberg

Cooperative Institutions

Friedrich-Alexander-Universität Erlangen-Nürnberg

Universitätsklinikum Erlangen

Charité - Universitätsmedizin Berlin

Heidelberg University

University Hospital Heidelberg

Leipzig University

Humboldt-Universität zu Berlin

Freie Universität Berlin

Medizinische Hochschule Hannover

University of Lübeck

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Visualization of diffusion tensor data using evenly spaced streamlines

Dorit Merhof Markus Sonntag Frank Enders Peter Hastreiter Rudolf Fahlbusch

Diffusion tensor imaging allows investigating white matter structures in vivo which is of particular interest for neurosurgery. A promising approach for the reconstruction of neural pathways are streamline based techniques commonly referred to as fiber tracking. However, due to the diverging nature of tract systems, the density of streamlines varies over the domain without control resulting in sparse areas as well as cramped regions. To overcome this problem, we adapted the concept of evenly spaced streamlines to fiber tracking providing streamlines equally distributed over the domain. Additionally, we incorporated evenly spaced streamlines into region of interest based tracking. We also investigated an adaptive control of the distance between separate streamlines depending on the magnitude of anisotropic diffusion which provides a mechanism to emphasize dominant tract systems.

Tracking (education)

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DTI-based visualization strategies for the pyramidal tract

Frank Enders Dorit Merhof Peter Hastreiter Marc Stamminger Rudolf Fahlbusch

With the introduction of diffusion tensor imaging a method became available which is capable to detect major white matter tracts in-vivo. For the visualization of the data several techniques have been developed which, however, show various drawbacks for a comprehensive medical and technical analysis. Although fractional anisotropy maps and streamlines, typically denoted as fiber tracking, are widely used they are suboptimal in several situations of preand intraoperative application. Going beyond these standard approaches, several new and more advanced visualization techniques, namely directional volume growing, hulls and hardware-accelerated glyphs are introduced for an improved exploration of the pyramidal tract. The approaches have been evaluated with respect to diagnosis and therapy planning in neurosurgery. Overall, it is shown that the presented strategies for the visualization of diffusion tensor imaging data are capable to significantly support neurosurgical planning and intervention.

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GPU accelerated normalized mutual information and B-spline transformation

Visual Computing for Biomedicine (2008)

Matthias Teßmann Christian Eisenacher Frank Enders Marc Stamminger Peter Hastreiter

Visualization of multimodal images in medicine and other application areas requires correct and efficient registration. Optimally, the alignment operation is made an integral part of the rendering process. Voxel based approaches using mutual information ensure high quality similarity measurement. As a limiting factor, high computational load is caused since for every iteration of the optimization procedure one volume is transformed into the coordinate system of the other, a 2D histogram is generated and mutual information is computed. The expensive trilinear interpolation operations are well supported by 3D texture mapping hardware. However, existing strategies compute the histogram and mutual information on the CPU and thus require a cost intensive data transfer. Overcoming this considerable bottleneck, we introduce a new approach that efficiently supports all computations on modern graphics cards. This makes expensive data transfers from GPU to main memory dispensable. Due to its modularity, the presented approach can be integrated into general frameworks. As a major result, the speed improvement over existing GPU-CPU strategies amounts to a factor of 4 and over pure conventional CPU techniques to more than a factor of 10. Overall, the suggested strategy contributes considerably to integration of multimodal registration directly into interactive volume visualization.

Texture memory

Interpolation

10.2312/vcbm/vcbm08/117-124

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Citations (13)

PREOPERATIVE AND INTRAOPERATIVE DIFFUSION TENSOR IMAGING-BASED FIBER TRACKING IN GLIOMA SURGERY

Neurosurgery (2007)

Christopher Nimsky Oliver Ganslandt Peter Hastreiter Ruopeng Wang Thomas Benner

Nimsky, Christopher M.D.; Ganslandt, Oliver M.D.; Hastreiter, Peter Ph.D.; Wang, Ruopeng Ph.D.; Benner, Thomas Ph.D.; Sorensen, A. Gregory M.D.; Fahlbusch, Rudolf M.D.

10.1227/01.neu.0000279214.00139.3b

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Citations (74)

Long-term evaluation of clinical outcome after microvascular decompression for trigeminal neuralgia – Langzeitauswertung der klinischen Ergebnisse nach mikrovaskulärer Dekompression bei Trigeminusneuralgie

Klinische Neurophysiologie (2014)

Barbara Bischoff V Kneissl Oliver Ganslandt Ramin Naraghi Michael Buchfelder

The treatment of trigeminal neuralgia using microvascular decompression (MVD) is still challenging regarding postoperative outcome. According to the literature a considerable recurrence rate has been observed. In order to support the quality of the clinical outcome, 3D visualization of the MRI data has been used for our preoperative planning to achieve a detailed understanding of the complex neurovascular relationships at the surface of the brainstem as well as routine intraoperative BAEP and EMG monitoring has been applied to avoid neurological deficits during surgery. The achieved results were analyzed in a current study in the short- and long-term follow-up.

Microvascular Decompression

Neurovascular bundle

Trigeminal Nerve

10.1055/s-0034-1371310

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Functional Analysis of the Vertebral Column Based on MR and Direct Volume Rendering

Lecture notes in computer science (2000)

Peter Hastreiter Christof Rezk‐Salama K. Eberhardt Bernd Tomandl Thomas Ertl

Vertebral column

Spinal column

10.1007/978-3-540-40899-4_42

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Citations (4)

Remote Interactive Direct Volume Rendering for Intra-operative Application

Informatik aktuell (2001)

Peter Hastreiter Klaus Engel Bernd Tomandl Christopher Nimsky Rudolf Fahlbusch

Texture memory

Interactive Visualization

Graphics hardware

10.1007/978-3-642-56714-8_15

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Visualisierung

Elsevier eBooks (2011)

Peter Hastreiter Dirk Bartz Bernhard Preim

10.1016/b978-3-437-24880-1.10002-9

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Estimating Mechanical Brain Tissue Properties with Simulation and Registration

Lecture notes in computer science (2004)

Grzegorz Soza R. Grosso Christopher Nimsky Guenther Greiner Peter Hastreiter

Displacement field

Brain tissue

10.1007/978-3-540-30136-3_35

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Citations (20)

Intraoperative three-dimensional visualization in microvascular decompression

Journal of neurosurgery (2007)

Levent Tanrikulu Peter Hastreiter Regina Troescher-Weber Michael Buchfelder Ramin Naraghi

Object The authors systematically analyzed 3D visualization of neurovascular compression (NVC) syndromes in the operating room (OR) during microvascular decompression (MVD). Methods A total of 50 patients (26 women and 24 men) with trigeminal neuralgia (TN), hemifacial spasm (HFS), and glossopharyngeal neuralgia (GN) were examined and underwent MVD. Preoperative imaging of the neurovascular structures was performed using constructive interference in the steady state magnetic resonance (CISS MR) imaging, which consisted of 2D image slices. The 3D visualization of the neurovascular anatomy is generated after segmentaion of the CISS MR imaging in combination with direct volume rendering (DVR). The 3D representations were stored on a personal computer (PC) that was mounted on a mobile unit and transferred to the OR. During surgery, 3D visualization was applied by the surgeon with remotely controlled plasma-sterilized devices such as a wireless mouse and keyboard. The position of the 3D visualized neurovascular structures at the PC monitor was determined according to the intraoperative findings observed through the operating microscope. Results The system was stable during all neurosurgical procedures, and there were no operative or technical complications. Interactive adjustment of the 3D visualization guided by the view through the microscope permitted observation of the neurovascular relationships at the brainstem. Vessels covered by the cranial nerves could be noninvasively viewed by intraoperative 3D visualization. Postoperatively, the patients with TN and GN experienced pain relief, and the patients with HFS attained resolution of their facial tics. Vascular compression of nerves was explored in all 50 patients during MVD. Intraoperative 3D visualization delineated the compressing vessels and respective cranial nerves in 49 (98%) of 50 patients. Conclusions Interactive 3D visualization by DVR of high-resolution MR imaging data offered the opportunity for noninvasive virtual exploration of the neurovascular structures during surgery. An extended global survey of the neurovascular relationships was provided during MVD in each case. The presented method proved to be extremely advantageous for optimizing microneurosurgical procedures, supporting superior safety and improving the operative results when compared with the conventional strategy. This modality proved to be a very valuable teaching instrument and ensured the improvement of neurosurgical quality.

Neurovascular bundle

Microvascular Decompression

Hemifacial spasm

Cranial nerves

10.3171/jns-07/12/1137

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Citations (31)