Publications by authors named "Matthias Baumhauer"

Structured reporting has become established in many radiological applications over the last 20 years. However, its significance is often still seen as being limited to a narrow section of clinical workflows-image reporting and the creation of radiological reports. By placing every clinical and radiological finding in a semantic context from which its clinical meaning can be reproduced at any time, even by digital assistance systems, structured handling of medical data is essential for the interoperability of clinical systems along the entire diagnostic and therapeutic pathway.

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The COVID-19 pandemic has worldwide individual and socioeconomic consequences. Chest computed tomography has been found to support diagnostics and disease monitoring. A standardized approach to generate, collect, analyze, and share clinical and imaging information in the highest quality possible is urgently needed.

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Background:  Radiological reports of pancreatic lesions are currently widely formulated as free texts. However, for optimal characterization, staging and operation planning, a wide range of information is required but is sometimes not captured comprehensively. Structured reporting offers the potential for improvement in terms of completeness, reproducibility and clarity of interdisciplinary communication.

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Objectives: To explore the diagnostic value of MRI-based 3D texture analysis to identify texture features that can be used for discrimination of low-grade chondrosarcoma from enchondroma.

Methods: Eleven patients with low-grade chondrosarcoma and 11 patients with enchondroma were retrospectively evaluated. Texture analysis was performed using mint Lesion: Kurtosis, entropy, skewness, mean of positive pixels (MPP) and uniformity of positive pixel distribution (UPP) were obtained in four MRI sequences and correlated with histopathology.

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Purpose: The Medical Imaging Interaction Toolkit (MITK) has been available as open-source software for almost 10 years now. In this period the requirements of software systems in the medical image processing domain have become increasingly complex. The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control.

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Purpose: Percutaneous nephrolithotomy (PCNL) plays an integral role in treatment of renal stones. Creating percutaneous renal access is the most important and challenging step in the procedure. To facilitate this step, we evaluated our novel mobile augmented reality (AR) system for its feasibility of use for PCNL.

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Purpose: We present an augmented reality (AR) navigation system that conveys virtual organ models generated from transrectal ultrasonography (TRUS) onto a real laparoscopic video during radical prostatectomy. By providing this additional information about the actual anatomy, we can support surgeons in their working decisions. This work reports the system's first in-vivo application.

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Purpose: Accurate preoperative prediction of liver function, volume, and vessel anatomy is essential in preventing postoperative liver failure, optimizing safety, and ensuring optimal outcome in patients undergoing hepatic surgery. We propose that preoperative resection planning provides useful anatomical and volumetric data, allowing for sparing of liver tissue in surgical resections. The purpose of the present study was to evaluate the use of a novel resection planning tool.

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Purpose: We introduce a custom-designed phantom model for the in-vitro evaluation of an augmented reality-based soft-tissue navigation system for ultrasound-guided prostate interventions.

Materials And Methods: Transrectal ultrasound segmentation of the prostate, navigation aid placement, initial registration, endoscope tracking, and enhanced visualization steps in the navigation procedure were performed to accommodate the actual prostatic motion. In-vitro laparoscopic manipulations simulating surgical procedures were performed by a physician using human prostate specimens.

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Background And Purpose: One of the next frontiers of minimally invasive surgery is natural orifice translumenal endoscopic surgery (NOTES). This article focuses on the perspectives and limitations of imaging and navigation in NOTES soft-tissue surgery.

Materials And Methods: Based on our in-vitro and in-vivo studies, with the applicability of different systems for image-guided soft-tissue endoscopic surgery, early experience with NOTES, and long-term experience with advanced endoluminal, laparoscopic robot-assisted endoscopic surgery, we performed a review of the literature.

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Purpose Of Review: New imaging modalities and tissue navigation systems, which are adoptable to minimally invasive robotic urological surgical systems and prone to make the procedures more precise and easy, are reviewed.

Recent Findings: Image-guided surgery as the general name of combining information of imaging modalities with real-time surgery has already found a place in open and minimally invasive procedures. Soft tissue navigation is a complex type of computer-assisted surgery for soft tissue interventions.

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Despite rapid developments in the research areas of medical imaging, medical image processing, and robotics, the use of computer assistance in surgical routine is still limited to diagnostics, surgical planning, and interventions on mostly rigid structures. In order to establish a computer-aided workflow from diagnosis to surgical treatment and follow-up, several proposals for computer-assisted soft tissue interventions have been made in recent years. By means of different pre- and intraoperative information sources, such as surgical planning, intraoperative imaging, and tracking devices, surgical navigation systems aim to support surgeons in localizing anatomical targets, observing critical structures, and sparing healthy tissue.

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