Skin Imaging NTU

Transcription

1 Skin Imaging NTU A*STAR-NHG-NTU Joint Skin Research Workshop, Oct 19, 2013 A/Prof. Wee Ser ewser@ntu.edu.sg Programme Lead (MISA), NITHM Director, VALENS Research Centre, EEE Nanyang Technological University (NTU) Singapore

2 Scope of Presentation Overview Sampled Skin Imaging Research NTU Sampled Skin Image Analysis NTU Concluding Remarks 2

3 Overview Several faculties in the NTU Engineering Schools (e.g. EEE, SCBE, SCE, MAE) have been working on skin imaging research. Skin Imaging Technique Skin Image Analysis Micro-OCT THz Imaging Photoacoustic Melasma scoring Skin topography Parameter estimation Some NTU faculties are working with clinicians in the National Skin Centre. Several other NTU faculties are keen to apply their expertise to skin research and are looking for clinical partners. 3

4 Micro-Optical Coherence Tomography (µoct) PI: Asst/Prof. Liu Linbo, Schools of EEE & SCBE, NTU Non-invasive cellular resolution imaging (optical scattering) µoct image Resolution (Micron) 1 µm axial resolution, 2 µm transverse resolution, 40 frames/sec - more than one order of magnitude higher resolution than commercial OCT µoct has potential to achieve in vivo histology at cellular level Conforms to ANSI standards and safe for human use Confocal OCT 1 microscopy µoct Histology Ultrasound high frequency Standard clinical Penetration depth [mm] 1 order of magnitude L Liu, et al, Imaging the subcellular structure of human coronary atherosclerosis using micro optical coherence tomography, Nature Medicine, 17, , July order of magnitude 4

5 Terahertz (THz) Imaging PI: Asst/Prof. YU, Hao, School of EEE, NTU A high sensitivity portable skin-cancer diagnosis platform using CMOS THz imager at 140GHz/280GHz (3D imaging) CMOS Chip Image resolution: 200μm; Penetration Depth/Resolution: 3~5mm/40μm Compact, high output power transmitter, high sensitivity, non-ionizing A promising diagnostic method: Terahertz pulsed imaging and spectroscopy, World J Radiol, 2011 March 28; 3(3):

6 Photoacoustic Imaging PI: Asst/Prof. Zheng Yuanjin, School of EEE, NTU Non-invasive 3D imaging for skin cancer and melanoma detection, as well as skin tissues status characterization for aging evaluation. Skin tumor detection: 3D Photoacoustic Microscopy NTU Non-ionizing laser pulses are delivered into biological tissues, where some energy are absorbed & converted into heat ultrasonic emission. Penetration Depth / Resolution: 3-50mm / μm F Gao, X Feng, and Y Zheng, Opt. Lett. 6

7 Skin Image Analysis PI: Dr. Adams Kong, School of SCE, NTU Non-invasive skin parameter estimation based on color images Backward model for image formation with vein uncovering algorithm Color Image NIR Image Hemoglobin Distribution Automated skin mark detection, hair analysis, and full body imaging Nevi Cherry hemangiomas Lentigines Seborrheic keratosis. Automated skin mark detection Hair analysis Full body imaging system 7

8 Skin Image Analysis PI: A/Prof. Lin Zhiping, School of EEE, NTU Skin image (Melasma) processing and scoring using transformation, adaptive thresholding, noise reduction and computational method. Raw skin image Gray scale image After adaptive thresholding Noise reduction Quantification and Scoring Processed image 8

9 Skin Topographic Research PI: A/Prof. David Butler, School of MAE, NTU Measurement, characterization of skin topography (e.g. information about skin and its change over time) and its correlation with age Graph of Fractal Dimension, Sfd against Age Fractal Dimension, Sfd R² = Age Same Gender - Age Comparison (Female) 23 F 76 F Sa Sq Ssk Sku Sz Str Sal Sfd Sdq Sdr The variation of skin topography around the body -5 Topographic Parameter (ISO 25178) change with respect to age 9

10 Mobile Platform for Skin Image Analysis PI: A/Prof. Yap KH, School of EEE, NTU Mobile apps or platform for monitoring progression of skin conditions (after drug delivery), and early alert system (for suspicious conditions). Skin image analytics and diagnostics (feature extraction, characterization and classification of diseases/conditions such as melanoma). Skin image search engine and knowledge discovery by mining images and contextual information leading to the illness. 10

11 Concluding Remarks Other than the normal visible light camera, there are other emerging imaging modalities that can be used for skin imaging. Skin images can be analysed using a wide variety of signal processing techniques for different diagnostic applications. There are expertise in NTU in skin imaging & image analysis. Clinical-Engineering collaboration helps enable impactful skin research and applications. 11

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