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Item type:Publication, Access status: with files , Design and experimental validation of a novel additively manufactured stenosis model for neurointerventional training(Infinite Science Publishing, 2025-06-02); ; ; ; Stenoses, or pathological narrowings of blood vessels, are significant risk factors for cardiovascular events. While various stenosis models exist for training purposes, they often present limitations for intracranial applications due to their size and inability to maintain vessel dilation after treatment. This paper presents the development and evaluation of a novel stenosis model specifically designed for compact, intracranial applications within the neurointerventional simulator HANNES. The model utilizes a C-shaped clip mechanism that selectively constricts an elastic vessel, incorporating a designed breaking point that ensures permanent vessel dilation upon reaching a critical pressure during balloon angioplasty. The model was manufactured using stereolithographic additive manufacturing and underwent experimental evaluation using a standard PTA balloon catheter. Results demonstrated reproducible burst pressures of 12 ± 1 bar, aligning with typical clinical parameters. X-ray imaging confirmed successful integration into the HANNES simulator, enabling realistic simulation of stenosis treatment procedures. Experiments showed that the developed stenosis model should be used with elastic silicone tubes connected to additively manufactured vessel models, as direct application to printed vessels either resulted in vessel wall damage during compression or insufficient constriction depending on the C-clip geometry. Based on these findings and the successful validation results, the model represents a reliable and reproducible platform for neurointerventional training, with its parametric design allowing adaptation to various clinical scenarios.Publicationtype: Journal Article11 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Quantitative analysis of periprocedural thrombus fragmentation using an automated optical detection system in a comprehensive stroke intervention training platform(American Society of Mechanical Engineers (ASME), 2025-04); ; ; ; Mechanical thrombectomy for occluded large brain vessels in acute ischemic stroke has proven highly effective, but periprocedural thrombus fragmentation (PTF) remains a significant challenge that can lead to downstream embolization and incomplete recanalization. While laboratory methods exist for detailed PTF analysis, practical solutions are needed for quantitative assessment of simulated thrombectomy procedures performed on physical training models. We present a novel measurement system that enables automated detection and quantification of thrombus fragmentation events during simulated thrombectomy procedures on the HANNES neurointerventional simulator. The system employs a six-channel measurement chamber with integrated UV illumination and an optical detection setup to track fluorescent thrombus fragments. Fragments are automatically detected, assigned IDs, and measured in real-time using computer vision techniques. Validation studies comparing the system's measurements to microscopic analysis demonstrated strong correlation (Pearson's r=0.9939, p<0.001). In controlled testing, the system achieved 100% sensitivity and specificity for single fragment detection, successfully measuring fragments as small as 642 μm in radius. While adhering fragments are currently treated as single entities, the system's ability to automatically track and quantify PTF events in real-time provides an objective basis for evaluating procedural performance and comparing thrombectomy techniques in training scenarios. This novel measurement system represents a practical advance for studying thrombus fragmentation in educational settings. Integration into comprehensive training platforms like HANNES could improve understanding and management of PTF risks, potentially leading to better patient outcomes through enhanced operator training. Future studies correlating PTF metrics with physician experience and clinical results may establish performance benchmarks to help quantify individual proficiency and predict clinical competency.Publicationtype: Conference Paper40 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , HANNES: A Modular Neurointerventional Training Model(American Society of Mechanical Engineers (ASME), 2024-11-21); ; ; ; This work introduces version 2.0 of the Hamburg ANatomical NEurointerventional Simulator (HANNES): a novel modular neurointerventional simulator designed to provide a realistic platform for simulating various neurovascular pathologies and their endovascular therapies. Collaboratively developed by physicians and engineers, the neurointerventional simulator is designed with a modular product architecture combining standardized and variant modules to represent different training scenarios. The additively manufactured patient-based and patient-specific blood vessel tree consists of up to 13 individual components, including standardized features and interfaces for ease of connection. Patient-specific vessel models derived from medical imaging data allow customization and complexity adjustment. HANNES supports diverse neurointerventional training scenarios, including various modalities of aneurysm embolization, internal carotid artery (ICA)-stenosis, and thrombotic vessel occlusions, which can be treated through a transradial or transfemoral approach. The use and benefits of the model were evaluated with a group of trainees, who provided positive feedback, confirming the model's practicality and effectiveness in enhancing neurointerventional technical skills. In conclusion, HANNES represents a significant advancement in neurointerventional training, addressing the limitations of traditional training methods by simulating diverse disease patterns, enhancing medical staff's skills, and facilitating product testing.Publicationtype: Journal Article80 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A Novel Vessel Rupture Model for Neurointerventional Training(Infinite Science Publishing, 2024-09); ; ; ; Belakhal, BesmaNeurovascular conditions such as acute ischemic stroke and intracranial aneurysmsnecessitatecomplex neurointerventional procedures, posing significant risks including subarachnoid hemorrhage (SAH). Effective training is critical for minimizing these risks, yet current simulation models lack realistic, animal-free training options for managing complications like SAH. This paper aims to develop and integrate a vessel rupture model into the Hamburg Anatomical Neurointerventional Simulator (HANNES), enhancing training for intraoperative complication management. The rupture model was designed by incorporating requirements from both engineers and medical professionals. Key features include modular integration into HANNES, reusability, and adjustable bleeding rates controlled by the training supervisor. The model simulates the perivascular spread of contrast agent, with a point-specific origin and diffuse contour, ensuring realistic SAH visualization on digital subtraction angiography (DSA).The additively manufactured model includes a sponge-filled subarachnoid space and a valve for activating or deactivating the simulated hemorrhage.Evaluations byexperiencedneuroradiologists demonstrated effective control and realistic appearance of the simulated bleeding, giving the model anoverall Likert scale rating of 3.7 out of 5.Identified optimization potentials included the distal bleeding position, while the realistic extravasation of contrast agent was positively noted.The rupture model successfully meets the defined requirements, offering a practical tool for training in the management of neurointerventional complications.Future improvements will address the distal position of the hemorrhage to further optimize the effectiveness of the training, ultimately enhancing the preparedness of neurointerventionalistin handling SAH.Publicationtype: Conference Paper16 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Development of an additively manufactured skull model for the neurointerventional simulator HANNES(Infinite Science Publishing, 2023-09-11); ; ; ; Neurointerventional procedures, such as the treatment of acute ischemic strokes using mechanical thrombectomy, require fast and skilled action. However, proper alignment and navigation of treatment instruments pose a challenge. This paper describes the development and manufacturing of a skull model that enhances the existing neurointerventional simulator HANNES, by providing a representation of the skull structure in X-ray imaging. The partially additively manufactured anatomical model enhances the realism of the simulator, as it can be used as an orientation for the targeted alignment of the treatment instruments during different neurointerventional treatments.Publicationtype: Journal Article48 31