Czauderna T, Haga J, Kim J, Klapperstück M, Klein K, Kuhlen T, Oeltze-Jafra S, Sommer B and Schreiber F. Immersive Analytics Applications in Life and Health Sciences. Chapter 10 in K. Marriott et al. (Eds): Immersive Analytics, Lecture Notes in Computer Science, vol 11190, pp. 289-330, 2018. Springer, Cham https://doi.org/10.1007/978-3-030-01388-2_10
Life and Health sciences are key application areas for immersive analytics. This spans a broad range including medicine (e.g., investigations in tumour boards), pharmacology (e.g., research of adverse drug reactions), biology (e.g., immersive virtual cells) and ecology (e.g., analytics of animal behaviour). We present a brief overview of general applications of immersive analytics in life and health sciences, and present a number of applications in detail, such as immersive analytics in structural biology, in medical image analytics, in neurosciences, in epidemiology, in biological network analysis an for virtual cells.
- Spallazzi M, Dobisch L, Becke A, Berron D, Stucht D, Oeltze-Jafra S, Caffarra P, Speck O and Düzel E. Hippocampal vascularization patterns: a high-resolution 7 Tesla time-of-flight magnetic resonance angiography study. NeuroImage: Clinical, 2018 (in press, available online 19 Nov 2018). https://doi.org/10.1016/j.nicl.2018.11.019
Considerable evidence suggests a close relationship between vascular and degenerative pathology in the human hippocampus. Due to the intrinsic fragility of its vascular network, the hippocampus appears less able to cope with hypoperfusion and anoxia than other cortical areas. Although hippocampal blood supply is generally provided by the collateral branches of the posterior cerebral artery (PCA) and the anterior choroidal artery (AChA), different vascularization patterns have been detected postmortem. To date, a methodology that enables the classification of individual hippocampal vascularization patterns in vivo has not been established. In this study, using high-resolution 7 Tesla time-of-flight angiography data (0.3 mm isotropic resolution) in young adults, we classified individual variability in hippocampal vascularization patterns involved in medial temporal lobe blood supply in vivo. A strong concordance between our classification and previous autopsy findings was found, along with interesting anatomical observations, such as the variable contribution of the AChA to hippocampal supply, the relationships between hippocampal and PCA patterns, and the different distribution patterns of the right and left hemispheres. The approach presented here for determining hippocampal vascularization patterns in vivomay provide new insights into not only the vulnerability of the hippocampus to vascular and neurodegenerative diseases but also hippocampal vascular plasticity after exercise training.
- Meuschke M, Oeltze-Jafra S, Beuing O, Preim B and Lawonn K. Classification of Blood Flow Patterns in Cerebral Aneurysms. IEEE Transactions on Visualistation and Computer Graphics, Vol. 14, No. 8, August 2017. 10.1109/TVCG.2018.2834923
We present a Cerebral Aneurysm Vortex Classification (CAVOCLA) that allows to classify blood flow in cerebral aneurysms. Medical studies assume a strong relation between the progression and rupture of aneurysms and flow patterns. To understand how flow patterns impact the vessel morphology, they are manually classified according to predefined classes. However, manual classifica- tions are time-consuming and exhibit a high inter-observer variability. In contrast, our approach is more objective and faster than manual methods. The classification of integral lines, representing steady or unsteady blood flow, is based on a mapping of the aneurysm surface to a hemisphere by calculating polar-based coordinates. The lines are clustered and for each cluster a representative is calculated. Then, the polar-based coordinates are transformed to the representative as basis for the classification. Classes are based on the flow complexity. The classification results are presented by a detail-on-demand approach using a visual transition from the representative over an enclosing surface to the associated lines. Based on seven representative datasets, we conduct an informal interview with five domain experts to evaluate the system. They confirmed that CAVOCLA allows for a robust classification of intra-aneurysmal flow patterns. The detail-on-demand visualization enables an efficient exploration and interpretation of flow patterns.
- Oeltze-Jafra S, Meuschke M, Neugebauer M, Saalfeld S, Lawonn K, Janiga G, Hege H-C, Zachow S and Preim B. Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges. Computer Graphics Forum, 07 May 2018. https://doi.org/10.1111/cgf.13394
Simulations and measurements of blood and airflow inside the human circulatory and respiratory system play an increasingly important role in personalized medicine for prevention, diagnosis and treatment of diseases. This survey focuses on three main application areas. (1) Computational fluid dynamics (CFD) simulations of blood flow in cerebral aneurysms assist in predicting the outcome of this pathologic process and of therapeutic interventions. (2) CFD simulations of nasal airflow allow for investigating the effects of obstructions and deformities and provide therapy decision support. (3) 4D phase-contrast (4D PC) magnetic resoJ. Müller, V. Zebralla, S. Wiegand, and S. Oeltze-Jafra, “Interactive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercare,” EuroVis Workshop on Visual Analytics (EuroVA), p. 5 pages, 2019.nance imaging of aortic haemodynamics supports the diagnosis of various vascular and valve pathologies as well as their treatment. An investigation of the complex and often dynamic simulation and measurement data requires the coupling of sophisticated visualization, interaction and data analysis techniques. In this paper, we survey the large body of work that has been conducted within this realm. We extend previous surveys by incorporating nasal airflow, addressing the joint investigation of blood flow and vessel wall properties and providing a more fine-granular taxonomy of the existing techniques. From the survey, we extract major research trends and identify open problems and future challenges. The survey is intended for researchers interested in medical flow but also more general, in the combined visualization of physiology and anatomy, the extraction of features from flow field data and feature-based visualization, the visual comparison of different simulation results and the interactive visual analysis of the flow field and derived characteristics.
- Lüsebrink F, Mattern H, Oeltze-Jafra S, Speck O. Beyond high resolution: Denoising during image reconstruction to improve image quality. ESMRMB 2019, Accepted manuscript
- Dubost F, Dünnwald M, Huff D, Scheumann V, Schreiber F, Vernooij M, Niessen W, Skalej M, Schreiber S, Oeltze-Jafra S, de Bruijne M. Automated Quantification of Enlarged Perivascular Spaces in Clinical Brain MRI across Sites. MLCN 2019, Accepted manuscript
- Müller J, Zebralla V, Wiegand S and Oeltze-Jafra S. Interactive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercare. EuroVis Workshop on Visual Analytics (EuroVA), p. 5 pages, 2019. https://doi.org/10.2312/eurova.20191129
The monitoring and planning of cancer aftercare are commonly based on clinical, physiological and caregiver-reported outcome measures. More recently, patient-reported outcome (PRO) measures, capturing social, psychological, and financial aspects, are gaining attention in the course of establishing a patient-centered healthcare system. PROs are acquired during regular aftercare consultations where patients are asked to fill in questionnaires. We present an interactive visual analysis (IVA) approach to investigating PROs. The approach is applied in clinical routine during the aftercare consultation to assess the development of the particular patient, to compare this development to those of similar patients, and to detect trends that may require an adaptation of the aftercare strategy. Furthermore, the approach is employed in clinical research to identify groups of similarly developing patients and risk factors for poor outcomes, as well as to visually compare patient groups. We demonstrate the IVA approach in analyzing PROs of 1025 head and neck cancer patients. In an evaluation with 20 clinicians, we assessed the usefulness and usability of a prototypical implementation.