The increasing availability of advanced imaging equipment in clinical settings produces data with significant potential for enhancing understanding of human anatomy and function. However, leveraging these data requires tools that support clinicians in performing accurate diagnoses within established clinical practices. For instance, when assessing left ventricle function from computerized tomography angiography, clinicians analyze the anatomy using interactively defined short and long axis planes based on patient-specific anatomy. Therefore, any method tackling left ventricular analysis must support these standard features while providing such standard interfaces. Developing these features from scratch adds substantial overhead to the development process. While previous work has explored integrating open-source tools like OHIF Viewer and XNAT to provide standard analysis workflows, these tools, despite their sophisticated features, present usability challenges when applied to clinical contexts, particularly regarding system status visibility, multistep workflow support, and error prevention. This work entails first steps in integrating these technologies while addressing the identified usability issues. This is accomplished by integrating the OHIF Viewer as the core module of a web-based interactive system for visualization, processing, and analysis of left-ventricular CT images, allowing more control over interaction design. At the current stage, the proposed solution already showcases a positive impact over standard OHIF Viewer interactive behavior.