TY - JOUR A1 - Kiesel, Matthias A1 - Beyers, Inga A1 - Kalisz, Adam A1 - Joukhadar, Ralf A1 - Wöckel, Achim A1 - Herbert, Saskia-Laureen A1 - Curtaz, Carolin A1 - Wulff, Christine T1 - A 3D printed model of the female pelvis for practical education of gynecological pelvic examination JF - 3D Printing in Medicine N2 - Background Pelvic palpation is a core component of every Gynecologic examination. It requires vigorous training, which is difficult due to its intimate nature, leading to a need of simulation. Up until now, there are mainly models available for mere palpation which do not offer adequate visualization of the concerning anatomical structures. In this study we present a 3D printed model of the female pelvis. It can improve both the practical teaching of gynecological pelvic examination for health care professionals and the spatial understanding of the relevant anatomy. Methods We developed a virtual, simplified model showing selected parts of the female pelvis. 3D printing was used to create a physical model. Results The life-size 3D printed model has the ability of being physically assembled step by step by its users. Consequently, it improves teaching especially when combining it with commercial phantoms, which are built solely for palpation training. This is achieved by correlating haptic and visual sensations with the resulting feedback received. Conclusion The presented 3D printed model of the female pelvis can be of aid for visualizing and teaching pelvic anatomy and examination to medical staff. 3D printing provides the possibility of creating, multiplying, adapting and sharing such data worldwide with little investment of resources. Thus, an important contribution to the international medical community can be made for training this challenging examination. KW - gynecology KW - pelvic examination KW - pelvic palpation KW - 3D printing KW - FDM KW - SLA KW - teaching KW - visualization KW - education Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-313347 VL - 8 ER - TY - JOUR A1 - Kiesel, Matthias A1 - Beyers, Inga A1 - Kalisz, Adam A1 - Wöckel, Achim A1 - Quenzer, Anne A1 - Schlaiß, Tanja A1 - Wulff, Christine A1 - Diessner, Joachim T1 - Evaluating the value of a 3D printed model for hands-on training of gynecological pelvic examination JF - 3D Printing in Medicine N2 - Background Simulation in the field of gynecological pelvic examination with educational purposes holds great potential. In the current manuscript we evaluate a 3D printed model of the female pelvis, which improves practical teaching of the gynecological pelvic examination for medical staff. Methods We evaluated the benefit of a 3D printed model of the female pelvis (Pelvisio®) as part of a seminar (“skills training”) for teaching gynecological examination to medical students. Each student was randomly assigned to Group A or B by picking a ticket from a box. Group A underwent the skills training without the 3D printed model. Group B experienced the same seminar with integration of the model. Both groups evaluated the seminar by answering five questions on Likert scales (1–10, 1 = “very little” or “very poor”, 10 equals “very much” or “very good”). Additionally, both groups answered three multiple-choice questions concerning pelvic anatomy (Question 6 to 8). Finally, Group B evaluated the 3D printed model with ten questions (Question 9 to 18, Likert scales, 1–10). Results Two of five questions concerning the students’ satisfaction with the seminar and their gained knowledge showed statistically significant better ratings in Group B (6.7 vs. 8.2 points and 8.1 vs. 8.9 points (p < 0.001 and p < 0.009). The other three questions showed no statistically significant differences between the traditional teaching setting vs. the 3D printed model (p < 0.411, p < 0.344 and p < 0.215, respectively). The overall mean score of Question 1 to 5 showed 8.4 points for Group B and 7.8 points for Group A (p < 0.001). All three multiple-choice questions, asking about female pelvic anatomy, were answered more often correctly by Group B (p < 0.001, p < 0.008 and p < 0.001, respectively). The mean score from the answers to Questions 9 to 18, only answered by Group B, showed a mean of 8.6 points, indicating, that the students approved of the model. Conclusion The presented 3D printed model Pelvisio® improves the education of female pelvic anatomy and examination for medical students. Hence, training this pivotal examination can be supported by a custom designed anatomical model tailored for interactive and explorative learning. KW - gynecology KW - pelvic examination KW - pelvic palpation KW - 3D printing KW - teaching KW - visualization KW - education KW - Pelvisio® Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-313365 VL - 8 ER - TY - JOUR A1 - Letunic, Ivica A1 - Bork, Peer T1 - Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees JF - Nucleic Acids Research N2 - Interactive Tree Of Life (http://itol.embl.de) is a web-based tool for the display, manipulation and annotation of phylogenetic trees. It is freely available and open to everyone. The current version was completely redesigned and rewritten, utilizing current web technologies for speedy and streamlined processing. Numerous new features were introduced and several new data types are now supported. Trees with up to 100,000 leaves can now be efficiently displayed. Full interactive control over precise positioning of various annotation features and an unlimited number of datasets allow the easy creation of complex tree visualizations. iTOL 3 is the first tool which supports direct visualization of the recently proposed phylogenetic placements format. Finally, iTOL's account system has been redesigned to simplify the management of trees in user-defined workspaces and projects, as it is heavily used and currently handles already more than 500,000 trees from more than 10,000 individual users. KW - Interactive Tree Of Life (iTOL) KW - phylogenetic trees KW - visualization KW - tool Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166181 VL - 44 IS - W1 ER - TY - THES A1 - Schwartges, Nadine T1 - Dynamic Label Placement in Practice T1 - Beschriftungsplatzierung in interaktiven Karten in der Praxis N2 - The general map-labeling problem is as follows: given a set of geometric objects to be labeled, or features, in the plane, and for each feature a set of label positions, maximize the number of placed labels such that there is at most one label per feature and no two labels overlap. There are three types of features in a map: point, line, and area features. Unfortunately, one cannot expect to find efficient algorithms that solve the labeling problem optimally. Interactive maps are digital maps that only show a small part of the entire map whereas the user can manipulate the shown part, the view, by continuously panning, zooming, rotating, and tilting (that is, changing the perspective between a top and a bird view). An example for the application of interactive maps is in navigational devices. Interactive maps are challenging in that the labeling must be updated whenever labels leave the view and, while zooming, the label size must be constant on the screen (which either makes space for further labels or makes labels overlap when zooming in or out, respectively). These updates must be computed in real time, that is, the computation must be so fast that the user does not notice that we spend time on the computation. Additionally, labels must not jump or flicker, that is, labels must not suddenly change their positions or, while zooming out, a vanished label must not appear again. In this thesis, we present efficient algorithms that dynamically label point and line features in interactive maps. We try to label as many features as possible while we prohibit labels that overlap, jump, and flicker. We have implemented all our approaches and tested them on real-world data. We conclude that our algorithms are indeed real-time capable. N2 - Das allgemeine Beschriftungsproblem lautet wie folgt: Gegeben sei eine Menge von zu beschriftenden geometrischen Objekten (Referenzobjekte) in der Ebene und für jedes Referenzobjekt eine Menge von Beschriftungspositionen. Maximiere die Anzahl von gesetzten Beschriftungen, sodass jedes Referenzobjekt höchstens eine Beschriftung besitzt und keine zwei Beschriftungen überlappen. In Karten gibt es drei Arten von Referenzobjekten: Punkte, Linien und Gebiete. Leider können wir nicht davon ausgehen, dass es Algorithmen gibt, die das Beschriftungsproblem optimal und effizient, das heißt, mit kurzer Rechenzeit, lösen. Interaktive Karten sind digitale Karten wie sie zum Beispiel in Navigationsgeräten verwendet werden. Interaktive Karten zeigen nur einen Ausschnitt der gesamten Karte, wobei der Benutzer diesen Ausschnitt, den Sichtbereich, verändern kann: Der Benutzer kann den Sichtbereich verschieben, verkleinern und vergrößern (das heißt, heraus- und hineinzoomen), ihn rotieren und die Ansicht kippen, also zwischen Draufsicht und Vogelperspektive variieren. Diese spontanen Änderungen machen das Platzieren von Beschriftungen noch schwieriger. Sobald eine Beschriftung den Sichtbereich verlässt, sollte diese innerhalb des Sichtbereichs neu gesetzt werden. Beim Zoomen soll sich die Größe einer Beschriftung auf dem Bildschirm nicht ändern. Beim Herauszoomen müssen wir daher Beschriftungen löschen um Überlappungen zu verhindern. Beim Hineinzoomen entsteht Platz um weitere Beschriftungen zu platzieren. Diese Aktualisierungen müssen in Echtzeit durchgeführt werden, das heißt, sie müssen so schnell durchgeführt werden, dass der Benutzer nicht bemerkt, dass im Hintergrund neue Positionen berechnet werden. Eine weitere Anforderung interaktiver Karten ist, dass eine Beschriftung nicht springen oder flackern darf, das heißt, wenn eine Beschriftung ihre Position ändern muss, so soll sie sich kontinuierlich zu ihrer neuen Position bewegen, und, während der Benutzer hinauszoomt, darf eine gelöschte Beschriftung nicht wieder eingeblendet werden. In dieser Dissertation stellen wir effiziente Algorithmen vor, die Punkte und Linien dynamisch beschriften. Wir versuchen stets so viele Referenzobjekte wie möglich zu beschriften, wobei wir gleichzeitig fordern, dass die platzierten Beschriftungen weder springen, flackern, noch sich überlappen. Wir haben unsere Algorithmen implementiert und mit Hilfe von echten Kartendaten getestet. Tatsächlich sind unsere Algorithmen echtzeitfähig. KW - Computerkartografie KW - Digitale Karte KW - automated map labeling KW - street labeling KW - point labeling KW - visualization KW - interactive maps KW - automatische Beschriftungsplatzierung KW - Beschriftung von Straßen KW - Punktbeschriftungen KW - Visualisierung KW - Interaktive Karten KW - Beschriftung KW - Visualisierung Y1 - 2015 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-115003 ER - TY - JOUR A1 - Schwarz, Roland F. A1 - Tamuri, Asif U. A1 - Kultys, Marek A1 - King, James A1 - Godwin, James A1 - Florescu, Ana M. A1 - Schultz, Jörg A1 - Goldman, Nick T1 - ALVIS: interactive non-aggregative visualization and explorative analysis of multiple sequence alignments JF - Nucleic Acids Research N2 - Sequence Logos and its variants are the most commonly used method for visualization of multiple sequence alignments (MSAs) and sequence motifs. They provide consensus-based summaries of the sequences in the alignment. Consequently, individual sequences cannot be identified in the visualization and covariant sites are not easily discernible. We recently proposed Sequence Bundles, a motif visualization technique that maintains a one-to-one relationship between sequences and their graphical representation and visualizes covariant sites. We here present Alvis, an open-source platform for the joint explorative analysis of MSAs and phylogenetic trees, employing Sequence Bundles as its main visualization method. Alvis combines the power of the visualization method with an interactive toolkit allowing detection of covariant sites, annotation of trees with synapomorphies and homoplasies, and motif detection. It also offers numerical analysis functionality, such as dimension reduction and classification. Alvis is user-friendly, highly customizable and can export results in publication-quality figures. It is available as a full-featured standalone version (http://www.bitbucket.org/rfs/alvis) and its Sequence Bundles visualization module is further available as a web application (http://science-practice.com/projects/sequence-bundles). KW - visualization KW - multiple sequence alignments KW - phylogenetic trees KW - Alvis Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166374 VL - 44 IS - 8 ER -