Imaging Annotations

Overview

This project focused on creating a standardized visual and interaction system for medical imaging annotations and overlays used by radiologists across a range of applications. The work established consistent styles, behaviors, and interaction patterns for measurements, labels, and controls to ensure clarity without obscuring critical clinical findings.

My role

Led the creation of a standardized style guide for imaging annotations, optimizing interaction design while maintaining legibility across complex imaging backgrounds.

The challenge

Problem statement

Radiologists rely on annotations and measurements to evaluate and report findings. These annotations must be subtle yet legible, easy to manipulate, readable across diverse image backgrounds, and consistent across products and users to support trust and predictable interaction.

User needs and pain points

  • Clear, legible measurements without blocking findings
  • Precise and intuitive interactions
  • Consistent behavior across tools and products
  • Confidence that annotations would read clearly on diverse image backgrounds

Project goals

The goal was to create a cohesive annotation system that improved usability without increasing visual noise.

  • Standardize visual styles for annotations and overlays
  • Optimize interactions for precision and ease
  • Ensure legibility across diverse imaging backgrounds
  • Maintain minimal obstruction of clinical content
  • Enable consistent implementation across products

Process

Understand

The existing solution was dated, inconsistent, and failed to maintain legibility across various imaging backgrounds. With no control over where measurements or text may appear, it was essential to create styles that perform well across a wide range of values and visually complex areas. Incorporating WCAG contrast principles helped ensure the system remained both accessible and usable.

Design exploration

Design exploration focused on establishing consistency and improving legibility. Because annotation placement can vary, styles were developed to maintain sufficient contrast across a wide range of values and backgrounds.

Color accessibility

Accessibility was evaluated to ensure annotations remain readable regardless of the underlying image. Color and subtle visual cues distinguish states, with palettes selected to remain accessible for users with common color vision deficiencies.

Final designs

Cohesive visual language

A unified annotation style was created across line styles, text labels, and states to improve recognition and usability. One consistent action color connected interactive elements across viewports, reinforcing predictability and reducing cognitive load.

Interaction design

Hit targets were intentionally larger than the visual annotations themselves to keep overlays visually minimal while making them easy to manipulate.

Custom scrollbar interactions were created to support precise control of slice‑thickness adjustments, an important element of radiology imaging workflows.

Custom scrollbar interactions allow users to adjust slice thickness, enabling radiologists and clinicians to view anatomy at different levels of detail.

Solution

A standardized imaging annotation system that enables precise, readable, and minimally intrusive overlays through consistent visual styles and interaction patterns. The system balances subtlety with usability, supporting diagnostic accuracy and collaboration.

Impact

Scalability and consistency

Consuming applications were able to implement annotation patterns more quickly and consistently.

Improved usability

Radiologists benefited from predictable interactions and clearer overlays across products.

Global reach

Enabled rapid implementation of tools used for COVID-19 diagnosis and assessment.