UCL Centre for Medical Image Computing


Lulu Xu & Dale Waterhouse CMIC/WEISS joint seminar series

17 March 2021, 1:00 pm–2:00 pm

Lulu Xu & Dale Waterhouse a talk as part of the CMIC/WEISS joint seminar series

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Speaker: Lulu Xu

Title: Electronic Textile-based Wireless Communication and Sensing Devices

Abstract: Electronic textiles (e-textiles), i.e., the fibers/fabrics with sensing, actuating and communication functionalities, have gained great attentions in wearable applications in recent years. However, the current researches on e-textiles are not suitable for long-term wearing. By way of example, e-textiles with polymer coverages are not air-permeable and can induce errors in measurements; textiles integrated with solid-state battery are not aesthetic for apparel integration and cannot withstand washing and wearing attritions. We discuss new techniques for the design and construction of e-textile materials and devices to achieve the communication and sensing functions used in wireless body area network (WBAN) applications.


Speaker: Dale Waterhouse

Title: Spectral endoscopy for image-guided surgery

Abstract: Despite significant improvements, cancer remains the second leading cause of death worldwide (9.6 million/year). Surgical resection is used in 45% of cancer treatments and is the main treatment for brain cancers, but of the 33 patients diagnosed with brain cancer daily in the UK, only 4 will survive beyond 5 years. Critical for treatment success is a surgeon’s ability to distinguish between healthy and diseased tissues so tumours can be removed completely, preventing recurrence, without damaging surrounding tissue. Despite the enormity of this challenge, surgeons are largely guided by conventional white light imaging, similar to that found in a mobile phone camera. These cameras are solely designed to replicate the human vision system — though this is well adapted for everyday tasks, it remains inadequate for discriminating between different tissues. When light illuminates tissue, it undergoes a complex series of disease-specific interactions with biological molecules. These interactions encode the light with a unique spectral fingerprint. By detecting and decoding this fingerprint using spectral imaging, underlying biology can be revealed and used to augment a surgeon’s vision with objective tissue labels (e.g. tumour, healthy), thus improving the accuracy of resection. In this talk, I will discuss my previous work on spectral endoscopy as well as my plans for future work to optimise this technique for high-contrast intraoperative imaging.


Chair: Ester Bonmati Coll

Link to the Moodle page here: https://moodle.ucl.ac.uk/course/view.php?id=19613   

Please enrol with key: CMIC