Accurate wide field machine assessment of Acne and Rosacea

Slides:



Advertisements
Similar presentations
CZĘSTOCHOWA UNIVERSITY OF TECHNOLOGY FACULTY OF MATERIALS PROCESSING TECHNOLOGY AND APPLIED PHISICS Department of Industrial Furnances and Environmental.
Advertisements

TELEMEDICINE ITC Software All rights reserved. ITC Software.
Craig C. Miller, MD, PhD Brian C. Madden, PhD 13 November 2006
Development of a Community SPIRIT ‘The Journey so Far’ Alun E Morgan MPhil Student.
Relieving distress, transforming lives Data Collection in IAPT The Importance of collecting data in IAPT-compliant services (References: The IAPT Data.
Laser Speckle Extensometer ME 53
Research Methods for Counselors COUN 597 University of Saint Joseph Class # 8 Copyright © 2015 by R. Halstead. All rights reserved.
5/14/2015 6:33:16 AM 5864_ER_WHITE.1 Simple use of UML for assisting in the creation of Common Criteria evaluation inputs Karen Sheh CSC Australia.
MULTI 1.1 Data Acquisition Software Nekrasov Dmitriy Kyungpook National University Spring 2005.
Medical Informatics Basics
ISBE-AstraZeneca Strategic Alliance Project 26 Evaluation of Crohn’s disease using T1-weighted dynamic contrast- enhanced MRI (DCE-MRI) Karl Embleton.
Manufacturing Engineering Department Lecture 9 – Automated Inspection
Research Methods in Computer Science Lecture: Quantitative and Qualitative Data Analysis | Department of Science | Interactive Graphics System.
Analyzing Reliability and Validity in Outcomes Assessment (Part 1) Robert W. Lingard and Deborah K. van Alphen California State University, Northridge.
Chapter 6 : Software Metrics
CONTENTS Sending and receiving devices Mobile devices connected to networks – Smart phones – Personal digital assistants – Hand-held computers – Netbook.
Computing Fundamentals Module Lesson 19 — Using Technology to Solve Problems Computer Literacy BASICS.
The Objective Identification of Dermatoscopic Features using Spectrophotometric Intracutaneous Analysis.
Spermatology IVOS & CEROS Computer Assisted Sperm Analysis Spermatology 2006.
Objectives 2.1Scatterplots  Scatterplots  Explanatory and response variables  Interpreting scatterplots  Outliers Adapted from authors’ slides © 2012.
Chapter 5 Technology in the Business Office Copyright © 2011, 2006 Mosby, Inc., an affiliate of Elsevier. All rights reserved.
Design of a Hadamard Transform Spectral Imaging System for Brain Tumor Resection Guidance Paul Holcomb, Tasha Nalywajko, Melissa Walden Advisors: Anita.
Automatic License Plate Location Using Template Matching University of Wisconsin - Madison ECE 533 Image Processing Fall 2004 Project Kerry Widder.
1 FDA Perspective on Global Evaluation of Facial Acne Brenda Carr, M.D. Medical Officer Division of Dermatologic and Dental Drug Products FDA.
Comparison of OFIL’s Corona Camera & Ultrasonic instruments.
1 Collecting and Interpreting Quantitative Data Deborah K. van Alphen and Robert W. Lingard California State University, Northridge.
National PE Cycle of Analysis. Fitness Assessment + Gathering Data Why do we need to asses our fitness levels?? * Strengths + Weeknesses -> Develop Performance.
Current 3D imaging systems for brain surgery are too slow to be effective in an operating room setting. All current effective methods for demarcation of.
The Big Picture Things to think about What different ways are there to collect information automatically? What are the advantages and disadvantages of.
ICT in the Foundation Stage © Crown Copyright 2004.
Colonic wall thickening is one of the common findings in patients with abdominal complaints. Plain x ray, conventional barium enema,USG and CT with and.
Quantification of dyspnea using descriptors: Development and initial testing of the Dyspnea-12 J Yorke, S H Moosavi, C Shuldham, P W Jones (Thorax
Early Years Maths Workshop
IS Development Methodology
EYE TRACKING TECHNOLOGY
Quality Assurance processes
Optical Non-Invasive Approaches to Diagnosis of Skin Diseases
How to Research Lynn W Zimmerman, PhD.
Dolianitis C, Kelly J Victorian Melanoma Service,
Peter Shepherd COUNTER March 2012
Internal Assessment 2016 IB Chemistry Year 2 HL.
Digital image self-adaptive acquisition in medical x-ray imaging
No More Marking & Comparative Judgement
Understanding Standards Event Higher Statistics Award
Analyzing Reliability and Validity in Outcomes Assessment Part 1
SICSURFIS – SPECTRAL IMAGING OF COMPLEX SURFACE TOMOGRAPHIES
What Is Spectral Imaging? An Introduction
Optical Non-Invasive Approaches to Diagnosis of Skin Diseases
Helen Jefferis, Soraya Kouadri & Elaine Thomas
Collecting and Interpreting Quantitative Data – Introduction (Part 1)
care.data: listening to you
PCI & Auditory ERPs for the diagnosis of disorders of consciousness
Janis Spigulis, Vanesa Lukinsone, Martins Osis and Ilze Oshina
Computer Literacy BASICS
Activity Five: Simple Machines and Energy
Salah Merad Methodology Division, ONS
Investigation of student engagement with programming in TU100 The impact of using a graphical programming environment? Helen Jefferis, Soraya Kouadri.
MONITORING AND EVALUATION IN TB/HIV PROGRAMS
Evaluation.
Analyzing Reliability and Validity in Outcomes Assessment
The samples and the Error
Digital Photography Pre-assessment 1
Regulatory Perspective of the Use of EHRs in RCTs
Operational Definition Worksheet
Development of ideas.
MPATE-GE 2626: Thesis in Music Technology
Collecting and Interpreting Quantitative Data
WJEC Eduqas GCSE (9-1) Geography
Presentation transcript:

Accurate wide field machine assessment of Acne and Rosacea S Cotton1 and R Marks2 1Astron Clinica, UK 2University of Cardiff, UK

Aims To assess the possibility of quantifying the degree and severity of acne and rosacea using a novel device based on the SIAscope.

Overview To describe benefits of quantifying the degree and severity of acne and rosacea To review previous attempts at measuring these disorders To describe our preliminary studies and comment To suggest ways forward and conclude

Difficulties in monitoring acne Difficult to define area Difficult to count lesions Wide scatter of data when counting attempted

Requirements of a method to quantify acne Production of accurate reproducible data concerning the severity and extent of disease Method is simple, convenient and cheap Data derived is numeric and has linear relationship with clinical assessment

Previous methodologies to assess acne and rosacea (1) Clinical “Global” e.g. Nill, mild, moderate, moderately severe, sever, very severe “Spot counting” (more difficult than it sounds!) “Grading” (Leeds system matching with standard photograph)

Previous methodologies to assess acne and rosacea (2) Photographic Quite difficult as total standardisation required! Photograph scored at end of study Digital image analysis based on UV fluorescence and colour contrast

Benefits of quantifying Acne and Rosacea Would provide accurate patient record at one time point Essential for assessing effects of treatment Should enable better understanding of diseases

SIAscope principle R B G The SIAscope is a multi spectral imaging device for examining the skin. Links histological parameters (haemoglobin, melanin and collagen) to a reflectance spectrum Uses broadband spectroscopy to measure reflectance spectrum of skin B R Collagen Haemoglobin Reflectance spectrum Melanin G

SIAscope camera SIATMMeter Original SIAscope requires contact with the skin limiting the area under investigation to 11 by 11 mm The SIATMMeter utilizes new non-contact SIA technology to allow investigation of haemoglobin and melanin over wide areas Lack of contact removes blood blanching effect of using contact SIAscope

SIAscope camera SIATMMeter Can be implemented with a standard camera and calibrated light source, such as a flash gun. Reliably and reproducibly quantifies haemoglobin and melanin regardless of lighting, patient distance or setup

Patient 1- Acne Stage 1: SIAblood image computed Colour image

Patient 1- Acne Stage 2: Acne lesions automatically identified from SIAblood image Extent and inflammation automatically calculated and recorded SIAblood image with acne lesions identified Colour image with acne lesions overlaid

Patient 2- Acne SIAblood image with acne lesions identified Colour image with acne lesions overlaid

Results 15 Patients imaged with the SIATMMeter and clinically scored for Acne extent Good correlation found between clinical scoring for acne extent and automatically measured SIATMMeter value R2=0.8 Good correlation found between clinical global scoring and combination of SIATMMeter measured extent and inflamation R2=0.82

Data

Patient 3- Rosacea Extent and inflamation can also be calculated for rosacea patients to assist in the monitoring of treatment SIAblood image where extent of rosacea can be clearly seen Colour image

Summary The importance of quantifying acne and rosacea has been recognized The SIAscope principle has been embedded in a new device called the SIATMMeter The SIATMMeter has been used to investigate patients with acne and rosacea. A good correlation between the SIATMMeter data and clinical evaluation has been obtained.

Future work Further patients will be investigated using the principles described here It is intended to develop both the hardware and software so that the device will be fully automated and produce results instantly Thanks to R Morse of Astron Clinica for assistance with data collection and processing