henryliangt
commented
1 year ago Neurofibromatosis type 1 (NF1) is a tumour suppressor disorder associated with a lifelong risk of malignancy and development of disfiguring cutaneous neurofibromas (CNFs). These CNFs can develop on all areas of the body and may number in their thousands. The size of these lesions can reach up to 4 cm in diameter. Whole body 3d Imaging is a new modality that has not been widely used in NF1 patients previously. As part of a joint project with collaborators from France and the USA (Professor Wolkenstein (Paris), Professor Blakeley (John Hopkins University), we have been imaging patients longitudinally to try to better understand the natural history of cutaneous neurofibromas. We also hope to use this imaging tool for analysis of outcomes following CNF treatment through blade based, laser, and oral therapies.
Purpose / Aim: This project will derive a new 3D image analysis algorithm to detect and measure CNFs using longitudinal (post treatment) whole body 3D imaging data. We will develop new deep learning algorithms, designed for longitudinal imaging data, such that we can characterise the changes in the CNFs over time. We hope that the outcomes of this project will help to direct outcome measures for future therapeutics in this patient population. This project will collaborate with clinicians at Royal North Shore Hospital and Westmead Hospital.
Henry's though, algorithm, methods, records along the way and Article publication draft
Mimi Berman
Mimi LinkedIN
Literature Review
key task:
photo landscape match based on highlight and boundary.
Pixel scale down.
metrics measure.
compare module
interface convenience of use
Keywords:
changes detection, changes detect of skin, changes detect of map
Associate Professor Eleanor Bruce
AFNR5502: Remote Sensing, GIS and Land Management