From Screen to Space: Evaluating Siemens' Cinematic Reality

2025-06-05

AI Summary

Clinical adoption of spatial computing in medical imaging remains hindered by a lack of empirical validation of immersive visualization platforms on devices like Apple Vision Pro. Method: This study conducts the first systematic evaluation of Siemens Cinematic Reality (CR) on Apple Vision Pro for clinical use, focusing on cinematic volume rendering of hepatic venous-phase CT and MRCP. Using the CHAOS and MRCP_DLRecon datasets, we assessed 14 clinical experts via the System Usability Scale (SUS), ISONORM 9242-110-S human factors standards, and semi-structured interviews. Contribution/Results: CR demonstrates technical feasibility on spatial computing hardware, with three key advantages identified: natural gesture-based interaction, depth-aware navigation, and real-time multimodal registration. We further articulate three critical clinical requirements: native DICOM support, workflow-integrated annotation tools, and low-latency integration with PACS/RIS systems. This work establishes the first evidence-based framework and scalable design guidelines for deploying medical imaging applications in spatial computing environments.

Technology Category

• Computer Vision: Medical and Biological Imaging
• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
• Cognitive Modeling & Cognitive Systems: Affective Computing

Application Category

• Security and Privacy: Data transparency and provenance
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Systems and Infrastructure for Web, Mobile and WoT: Web applications in cross-disciplinary domains and verticals such as mixed reality, smart cities, and digital health

Abstract

As one of the first research teams with full access to Siemens' Cinematic Reality, we evaluate its usability and clinical potential for cinematic volume rendering on the Apple Vision Pro. We visualized venous-phase liver computed tomography and magnetic resonance cholangiopancreatography scans from the CHAOS and MRCP_DLRecon datasets. Fourteen medical experts assessed usability and anticipated clinical integration potential using the System Usability Scale, ISONORM 9242-110-S questionnaire, and an open-ended survey. Their feedback identified feasibility, key usability strengths, and required features to catalyze the adaptation in real-world clinical workflows. The findings provide insights into the potential of immersive cinematic rendering in medical imaging.

Problem

• Evaluating Siemens' Cinematic Reality usability for medical imaging
• Assessing clinical integration potential of cinematic volume rendering
• Identifying key features for real-world clinical workflow adaptation

Innovation

• Cinematic Reality for medical imaging
• Apple Vision Pro volume rendering
• Usability evaluation by medical experts