Medical Scan Fashion

Knits by Brooke Roberts Turn Medical Imagery into Chic Patterns

Working as digital knitwear designer and a radiologist, it's only natural that Brooke Roberts' creations seamlessly blends science and art. The knitwear designs begin as medical imagery that eventually becomes an integral part of the garment's shape, pattern and texture. Since the photos stem from scans of the human body, there's a natural rhythm and mathematic form to the patterns that end up on the garments.

These scanned images are usually collected from friends, which gives the garments meaning. Since Roberts notes that most brain scans look very similar, the artist does take some liberties when editing the scanned imagery with computer software to make each piece look unique. Once finalized, the patterns are programmed into a knitting machine and designs like the ones in this Autumn/Winter collection are created.

Medical Imaging Fashion
The convergence of medical imaging and fashion creates opportunities in personalized clothing design and data-driven manufacturing.
Data-driven Textile Design
Data-driven textile design blurs the boundary between art and science and opens up potential for novel applications in apparel manufacturing.
Personalized Clothing Manufacturing
The advent of personalized clothing manufacturing can benefit from medical imaging technology, leading to opportunities for disrupting the traditional fashion industry landscape.

Who This Affects Most

Fashion
The fashion industry can explore further collaborations with medical imaging technology to introduce innovative and personalized collections.
Medical Imaging
Medical imaging technology can expand its application beyond healthcare and contribute to novel applications in fashion and apparel manufacturing.
Textile Manufacturing
Textile manufacturers can leverage medical imaging technology to introduce innovative designs, expand manufacturing capabilities and offer personalized clothing options.
SCORE
4.4 out of 10
GENDER
30% Men70% Women
MARKETTop markets: Europe
GENERATION
  • Gen Z
  • Gen Alpha
  • Gen X
  • Millennial (primary audience)
POPULARITY
Popularity 62%
Activity 63%
Freshness 8%

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