DEVELOPMENT OF A VIRTUAL MUSEUM INCLUDING A 4D PRESENTATION OF BUILDING HISTORY IN VIRTUAL REALITY

In the last two decades the definition of the term “virtual museum” changed due to rapid technological developments. Using today’s available 3D technologies a virtual museum is no longer just a presentation of collections on the Internet or a virtual tour of an exhibition using panoramic photography. On one hand, a virtual museum should enhance a museum visitor's experience by providing access to additional materials for review and knowledge deepening either before or after the real visit. On the other hand, a virtual museum should also be used as teaching material in the context of museum education. The laboratory for Photogrammetry & Laser Scanning of the HafenCity University Hamburg has developed a virtual museum (VM) of the museum “Alt-Segeberger Bürgerhaus”, a historic town house. The VM offers two options for visitors wishing to explore the museum without travelling to the city of Bad Segeberg, Schleswig-Holstein, Germany. Option a, an interactive computer-based, tour for visitors to explore the exhibition and to collect information of interest or option b, to immerse into virtual reality in 3D with the HTC Vive Virtual Reality System

THE RETURN OF THE SIEGESBURG – 3D-RECONSTRUCTION OF A DISAPPEARED AND FORGOTTEN MONUMENT

Many Cultural Heritage (CH) monuments are destroyed in the past and they are often lost forever. If there is no contemporary metric documentation of the historic objects available, the monument and the information about this monument could be disappeared and forgotten forever. The Siegesburg (also known as Segeberg castle) located on the "Kalkberg" (Chalk Mountain) in Bad Segeberg in Northern Germany, is a typical example for such a monument, which was destroyed by Swedish troops at the end of the Thirty Years' War in 1644. This important monument was only documented by a few historic isometric maps, but the castle and even the later castle ruin were totally destructed and demolished over the last centuries and disappeared forever. Furthermore, this significant memorial is even forgotten in many people's mind. This contribution describes the physical and virtual return of the Siegesburg by 3D reconstruction using historic sources. The laboratory for Photogrammetry & Laser Scanning of the HafenCity University Hamburg conducted this project in co-operation with the museum Alt-Segeberger Bürgerhaus (Old-Segeberg town house). The process of the 3D reconstruction and visualisation of both the Kalkberg and the castle is presented in this paper

SEGEBERG 1600 – RECONSTRUCTING A HISTORIC TOWN FOR VIRTUAL REALITY VISUALISATION AS AN IMMERSIVE EXPERIENCE

The 3D reconstruction of historic buildings and cities offers an opportunity to experience the history of relevant objects and their development over the centuries. Digital visualisations of such historic objects allow for a more natural view of history as well as showing information that is not possible in a real world setting. New presentation forms, such as the virtual reality (VR) system HTC Vive, can be used to disseminate information in another dimension and simplify the access by changing the user’s viewpoint from a listener and viewer into being an integrated part of an interactive situation. In general, this approach is a combination of education and entertainment, also known as “edutainment” or “gamification”, a term used in the education sector as describing where motivation to learn is encouraged through adding a competitive element. It is thus a step away from simple consumption of information towards experiencing information and a more literal interpretation of “living history”. In this contribution, we present the development of a 3D reconstruction of the two towns Segeberg and Gieschenhagen (today: Bad Segeberg) in Schleswig-Holstein, Germany in the Early Modern Age around 1600. The historic landscape and its conversion from a reconstructed virtual town model into an interactive VR application is also described. The reconstruction is based on a recent digital terrain model as well as survey data of surviving buildings, historic visual information based on historic drawings and written accounts from that era. All datasets are combined to a single walkable virtual world that spans approximately 3 km²

Diagnostic accuracy of the Xpert MTB/RIF assay for extrapulmonary and pulmonary tuberculosis when testing non-respiratory samples: a systematic review.

BACKGROUND: Although the evidence base regarding the use of the Xpert MTB/RIF assay for diagnosis of pulmonary tuberculosis (TB) when testing respiratory samples is well established, the evidence base for its diagnostic accuracy for extrapulmonary and sputum-scarce pulmonary TB when testing non-respiratory samples is less clearly defined. METHODS: A systematic literature search of 7 electronic databases (Medline, EMBASE, ISI Web of Science, BIOSIS, Global Health Database, Scopus and Cochrane Database) was conducted to identify studies of the diagnostic accuracy of the Xpert assay when testing non-respiratory samples compared with a culture-based reference standard. Data were extracted and study quality was assessed using the QUADAS-2 tool. Sensitivities and specificities were calculated on a per-sample basis, stratified by sample type and smear microscopy status and summarised using forest plots. Pooled estimates were calculated for groups with sufficient data. RESULTS: Twenty-seven studies with a total of 6,026 non-respiratory samples were included. Among the 23 studies comparing Xpert and culture done on the same samples, sensitivity was very heterogeneous with a median sensitivity of 0.83 (IQR, 0.68-0.94) whereas specificities were typically very high (median, 0.98; IQR, 0.89-1.00). The pooled summary estimates of sensitivity when testing smear-positive and smear-negative samples were 0.95 (95% CI 0.91-1.00) and 0.69 (95% CI 0.60-0.80), respectively. Pooled summary estimates of sensitivity varied substantially between sample types: lymph node tissue, 0.96 (95% CI, 0.72-0.99); tissue samples of all types, 0.88 (95% CI, 0.76-0.94); pleural fluid, 0.34 (95% CI, 0.24-0.44); gastric aspirates for diagnosis of sputum-scarce pulmonary TB, 0.78 (IQR, 0.68 - 0.85). Median sensitivities when testing cerebrospinal fluid and non-pleural serous fluid samples were 0.85 (IQR, 0.75-1.00) and 0.67 (IQR, 0.00-1.00), respectively. CONCLUSION: Xpert detects with high specificity the vast majority of EPTB cases with smear-positive non-respiratory samples and approximately two-thirds of those with smear-negative samples. Xpert is a useful rule-in diagnostic test for EPTB, especially when testing cerebrospinal fluid and tissue samples. In addition, it has a high sensitivity for detecting pulmonary TB when using gastric aspirate samples. These findings support recent WHO guidelines regarding the use of Xpert for TB diagnosis from non-respiratory samples