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Featured researches published by Sascha Zelzer.


Journal of Vascular and Interventional Radiology | 2011

Effect of Tissue Perfusion on Microwave Ablation: Experimental in Vivo Study in Porcine Kidneys

Christof M. Sommer; Vitali Koch; Bence Pap; Nadine Bellemann; Maria Holzschuh; T. Gehrig; Maxym Shevchenko; Florian U. Arnegger; Felix Nickel; Carolin Mogler; Sascha Zelzer; Hans Peter Meinzer; U Stampfl; Hans U. Kauczor; B Radeleff

PURPOSE To determine the effect of tissue perfusion on microwave ablation lesions in an experimental in vivo study in porcine kidneys. MATERIALS AND METHODS Twelve kidneys of six pigs were studied. In each animal, two microwave ablations were created in one kidney without limitation of tissue perfusion (group 1). In the other kidney, two microwave ablations were performed with interruption of blood flow (group 2). All microwave ablations were performed with identical system parameters (eg, temperature control mode, ablation time of 80 s, and temperature of 110°C). The animals were euthanized 3 hours later. The kidneys were harvested and cut into 2-3-mm transverse slices. Microwave ablation zone dimensions (eg, length, width, and volume) and shape (eg, sphericity ratio) and corresponding variability were compared between groups. RESULTS Microwave ablation areas were significantly longer (41.6 mm ± 4.0 vs 34.2 mm ± 5.9; P < .01) and wider (16.6 mm ± 1.2 vs 12.2 mm ± 2.1; P < .001) in group 2 than in group 1. Similarly, microwave ablation volume was significantly greater in group 2 compared with group 1 (6.7 cm(3) ± 1.0 vs 3.3 cm(3) ± 1.2; P < .001). Ablation area shapes were similar between groups (sphericity ratio, 2.57 ± 0.42 vs 2.39 ± 0.34). Ablation area variabilities were also comparable between groups (volume variance of 1.32 vs 0.93; sphericity ratio variance of 0.18 vs 0.11). CONCLUSIONS After interruption of blood flow, microwave ablation areas are significantly larger than those achieved without limitation of tissue perfusion. Microwave ablation area shape and variability were comparable between study groups.


computer assisted radiology and surgery | 2015

Toward knowledge-based liver surgery: holistic information processing for surgical decision support

Keno März; Mohammadreza Hafezi; Tobias Weller; Arash Saffari; Marco Nolden; Nassim Fard; Ali Majlesara; Sascha Zelzer; Maria Maleshkova; Mykola Volovyk; Negin Gharabaghi; Martin Wagner; G. Emami; Sandy Engelhardt; Andreas Fetzer; Hannes Kenngott; N. Rezai; Achim Rettinger; Rudi Studer; Arianeb Mehrabi; Lena Maier-Hein

PurposeMalignant neoplasms of the liver are among the most frequent cancers worldwide. Given the diversity of options for liver cancer therapy, the choice of treatment depends on various parameters including patient condition, tumor size and location, liver function, and previous interventions. To address this issue, we present the first approach to treatment strategy planning based on holistic processing of patient-individual data, practical knowledge (i.e., case knowledge), and factual knowledge (e.g., clinical guidelines and studies).MethodsThe contributions of this paper are as follows: (1) a formalized dynamic patient model that incorporates all the heterogeneous data acquired for a specific patient in the whole course of disease treatment; (2) a concept for formalizing factual knowledge; and (3) a technical infrastructure that enables storing, accessing, and processing of heterogeneous data to support clinical decision making.ResultsOur patient model, which currently covers 602 patient-individual parameters, was successfully instantiated for 184 patients. It was sufficiently comprehensive to serve as the basis for the formalization of a total of 72 rules extracted from studies on patients with colorectal liver metastases or hepatocellular carcinoma. For a subset of 70 patients with these diagnoses, the system derived an average of


Proceedings of SPIE | 2012

Simplified development of image-guided therapy software with MITK-IGT

Alfred M. Franz; Alexander Seitel; Mark Servatius; C. Zöllner; Ingmar Gergel; Ingmar Wegner; Jochen Neuhaus; Sascha Zelzer; Marco Nolden; Johannes Gaa; P. Mercea; Kwong Yung; Christof M. Sommer; Boris Radeleff; Heinz-Peter Schlemmer; Hans-Ulrich Kauczor; Hans-Peter Meinzer; Lena Maier-Hein


BMC Medical Imaging | 2014

Specific CT 3D rendering of the treatment zone after Irreversible Electroporation (IRE) in a pig liver model: the “Chebyshev Center Concept” to define the maximum treatable tumor size

Dominik Vollherbst; Stefan Fritz; Sascha Zelzer; Maya B. Wolf; U Stampfl; Daniel Gnutzmann; Nadine Bellemann; Anne Schmitz; Jürgen Knapp; Philippe L. Pereira; Hans-Ulrich Kauczor; Jens Werner; B Radeleff; Christof M. Sommer

37 \pm 15


International Journal of Hyperthermia | 2013

Optimisation of the coagulation zone for thermal ablation procedures: A theoretical approach with considerations for practical use

Christof M. Sommer; Steffen A. Sommer; Werner O. Sommer; Sascha Zelzer; Maya B. Wolf; Nadine Bellemann; Hans Peter Meinzer; Boris Radeleff; Ulrike Stampfl; Hans U. Kauczor; Philippe L. Pereira


European Journal of Radiology | 2012

Super-micro-bland particle embolization combined with RF-ablation: Angiographic, macroscopic and microscopic features in porcine kidneys

Cm Sommer; Nikolas Kortes; Carolin Mogler; Nadine Bellemann; Maria Holzschuh; F. U. Arnegger; Felix Nickel; T. Gehrig; Sascha Zelzer; Hans-Peter Meinzer; Thomas Longerich; U Stampfl; Hu Kauczor; B Radeleff

37±15 assertions per patient.ConclusionThe proposed concept paves the way for holistic treatment strategy planning by enabling joint storing and processing of heterogeneous data from various information sources.


Proceedings of SPIE | 2016

Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery

Andreas Fetzer; Jasmin Metzger; Darko Katic; Keno März; Martin Wagner; Patrick Philipp; Sandy Engelhardt; Tobias Weller; Sascha Zelzer; Alfred M. Franz; Nicolai Schoch; Vincent Heuveline; Maria Maleshkova; Achim Rettinger; Stefanie Speidel; Ivo Wolf; Hannes Kenngott; Arianeb Mehrabi; Beat P. Müller-Stich; Lena Maier-Hein; Hans-Peter Meinzer; Marco Nolden

Due to rapid developments in the research areas of medical imaging, medical image processing and robotics, computer assistance is no longer restricted to diagnostics and surgical planning but has been expanded to surgical and radiological interventions. From a software engineering point of view, the systems for image-guided therapy (IGT) are highly complex. To address this issue, we presented an open source extension to the well-known Medical Imaging Interaction Toolkit (MITK) for developing IGT systems, called MITK-IGT. The contribution of this paper is two-fold: Firstly, we extended MITK-IGT such that it (1) facilitates the handling of navigation tools, (2) provides reusable graphical user interface (UI) components, and (3) features standardized exception handling. Secondly, we developed a software prototype for computer-assisted needle insertions, using the new features, and tested it with a new Tabletop field generator (FG) for the electromagnetic tracking system NDI Aurora ®. To our knowledge, we are the first to have integrated this new FG into a complete navigation system and have conducted tests under clinical conditions. In conclusion, we enabled simplified development of imageguided therapy software and demonstrated the utilizability of applications developed with MITK-IGT in the clinical workflow.


Bildverarbeitung für die Medizin 2015 : Algorithmen - Systeme - Anwendungen ; Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck. Hrsg.: H. Handels | 2015

Automatisierung von Vorverarbeitungsschritten für medizinische Bilddaten mit semantischen Technologien

Patrick Philipp; Maria Maleshkova; Michael Götz; Christian Weber; Benedikt Kämpgen; Sascha Zelzer; Klaus H. Maier-Hein; Miriam Klauß; Achim Rettinger

BackgroundSize and shape of the treatment zone after Irreversible electroporation (IRE) can be difficult to depict due to the use of multiple applicators with complex spatial configuration. Exact geometrical definition of the treatment zone, however, is mandatory for acute treatment control since incomplete tumor coverage results in limited oncological outcome. In this study, the “Chebyshev Center Concept” was introduced for CT 3d rendering to assess size and position of the maximum treatable tumor at a specific safety margin.MethodsIn seven pig livers, three different IRE protocols were applied to create treatment zones of different size and shape: Protocol 1 (n = 5 IREs), Protocol 2 (n = 5 IREs), and Protocol 3 (n = 5 IREs). Contrast-enhanced CT was used to assess the treatment zones. Technique A consisted of a semi-automated software prototype for CT 3d rendering with the “Chebyshev Center Concept” implemented (the “Chebyshev Center” is the center of the largest inscribed sphere within the treatment zone) with automated definition of parameters for size, shape and position. Technique B consisted of standard CT 3d analysis with manual definition of the same parameters but position.ResultsFor Protocol 1 and 2, short diameter of the treatment zone and diameter of the largest inscribed sphere within the treatment zone were not significantly different between Technique A and B. For Protocol 3, short diameter of the treatment zone and diameter of the largest inscribed sphere within the treatment zone were significantly smaller for Technique A compared with Technique B (41.1 ± 13.1 mm versus 53.8 ± 1.1 mm and 39.0 ± 8.4 mm versus 53.8 ± 1.1 mm; p < 0.05 and p < 0.01). For Protocol 1, 2 and 3, sphericity of the treatment zone was significantly larger for Technique A compared with B.ConclusionsRegarding size and shape of the treatment zone after IRE, CT 3d rendering with the “Chebyshev Center Concept” implemented provides significantly different results compared with standard CT 3d analysis. Since the latter overestimates the size of the treatment zone, the “Chebyshev Center Concept” could be used for a more objective acute treatment control.


Bildverarbeitung f&uuml;r die Medizin | 2014

Entwicklung interaktiver Bildverarbeitungssysteme mit MITK und CTK

Marco Nolden; Sascha Zelzer; Andreas Fetzer; Jasmin Metzger

Abstract Purpose: This paper outlines a theoretical approach for optimisation of the coagulation zone for thermal ablation procedures and considerations for its practical application. Methods: The theoretical approach is outlined in the Cartesian coordinate system. Considerations for practical application are implemented. The optimised coagulation zone is defined as the bare coverage of tumour mass plus a safety margin. The eccentricity of coagulation centre (ECC) is defined as the distance between the coagulation centre and the tumour centre. The direction of the applicator shaft is determined based on the x-axis direction. The tumour centre and coagulation centre are defined within the x/y-plane. The distance between coagulation margin (applicator tip) and tumour margin is called parallel offset (PAO). Results: For spherical coagulation shapes, a linear relationship exists between optimised coagulation diameter and ECC. An exponential relationship exists between optimised coagulation volume and ECC. A complex relationship was found between PAO and determinants of ECC, which are ex and ey. PAO is an extremely important parameter, which allows for determination of the optimal applicator tip position in relation to the tumour margin. It can be calculated in such a manner that the optimised coagulation zone is minimised by neutralising dislocation of the coagulation centre in applicator shaft direction. The latter can be realised by withdrawing or further inserting the applicator shaft. Conclusions: The presented concept can be used to optimise the extent of the coagulation zone for thermal ablation procedures after positioning of the applicator. Its inherent advantage is the simple adjustment of the applicator shaft, which obviates the need for a repuncture.


Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2013 - Workshop on Image Processing for Medicine: Algorithms - Systems - Applications, BVM 2013 | 2013

MITK-US: Echtzeitverarbeitung von Ultraschallbildern in MITK

Alfred M. Franz; Keno März; Alexander Seitel; Michael Müller; Sascha Zelzer; Marco Nodeln; Hans-Peter Meinzer; Lena Maier-Hein

PURPOSE To describe angiographic, macroscopic and microscopic features of super-micro-bland particle embolization in combination with RF-ablation in kidneys. Thereby, a special focus was given on the impact of the sequence of the different procedural steps. MATERIALS AND METHODS In ten pigs, super-micro-bland particle embolization combined with RF-ablation was carried out. Super-micro-bland embolization was performed with spherical particles of very small size and tight calibration (40 ± 10 μm). In the left kidneys, RF-ablations were performed before embolization (I). In the right kidneys, RF-ablations were performed after embolization (II). The animals were killed three hours after the procedures. Angiographic (e.g. vessel architecture), macroscopic (e.g. long and short axes of the RF-ablations) and microscopic (e.g. particle distribution) study goals were defined. RESULTS Angiography detected almost no vessels in the center of the RF-ablations in I. In II, angiography could not define the RF-ablations. Macroscopy detected significantly larger long and short axes of the RF-ablations in II compared to I (52.2 ± 3.2 mm vs. 45.3 ± 6.9 mm [P<0.05] and 25.1 ± 3.5mm vs. 20.0 ± 1.9 mm [P<0.01], respectively). Microscopy detected irregular particle distribution at the rim of the RF-ablations in I. In II, microscopy detected homogeneous particle distribution at the rim of the RF-ablations. Microscopy detected no particles in the center of the RF-ablations in I and II. CONCLUSION The sequence of the different procedural steps of super-micro-bland particle embolization combined with RF-ablation impacts angiographic, macroscopic and microscopic features in kidneys in the acute setting.

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B Radeleff

University Hospital Heidelberg

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Marco Nolden

German Cancer Research Center

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Nadine Bellemann

University Hospital Heidelberg

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U Stampfl

University Hospital Heidelberg

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Alfred M. Franz

German Cancer Research Center

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Cm Sommer

University Hospital Heidelberg

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Hu Kauczor

University Hospital Heidelberg

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Keno März

German Cancer Research Center

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