eprintid: 4474
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/44/74
datestamp: 2023-11-09 16:16:09
lastmod: 2023-11-09 16:16:09
status_changed: 2023-11-09 15:58:31
type: book
metadata_visibility: show
creators_name: Hani, A.F.M.
title: Surface imaging for biomedical applications
ispublished: pub
keywords: Automation; Biomedical signal processing; Clinical research; Dermatology; Diagnosis; Diseases; Engineers; Grading; Image acquisition; Independent component analysis; Medical applications; Noninvasive medical procedures; Pattern recognition systems; Principal component analysis; Singular value decomposition, Biomedical applications; Classification technique; Inverse model analysis; Measurement parameters; Pattern recognition techniques; Polynomial surface fitting; Signal and image processing; Tissue characteristics, Medical imaging
note: cited By 3
abstract: Based on hospital clinical trials examining the use of signal and image processing techniques, Surface Imaging for Biomedical Applications bridges the gap between engineers and clinicians. This text offers a thorough analysis of biomedical surface imaging to medical practitioners as it relates to the diagnosis, detection, and monitoring of skin conditions and disease. Written from an engineer�s perspective, the book discusses image acquisition methods, image processing, and pattern recognition techniques. It focuses on a variety of techniques used in recent years for image processing and pattern recognition (principal component analysis, independent component analysis, singular value decomposition, texture modeling, inverse model analysis, polynomial surface fitting, and classification techniques), and considers interventional and non-invasive procedures used to diagnose skin-related disease. It examines the biological causation of four skin disorders (psoriasis, vitiligo, ulcer, and acne), provides basic terminologies in surface imaging, and details the outcome of various clinical observations and other research. It also details numerous measurement parameters related to surface imaging (body surface, skin color, tissue characteristic, thickness, roughness, volume of skin, and retinal changes). �Discusses the development of a psoriasis severity measurement tool �Provides material on assessing segmented repigmentation areas in vitiligo patients via VT-Scan �Introduces a volume ulcer assessment using non-invasive 3D imaging �Presents an automated system for acne grading that is based on capturing the images of various body parts using the DSLR camera �Includes the MATLAB® codes for various pattern recognition techniques applied during the assessment/measurement at the end of each chapter This interdisciplinary reference highlights the importance of disease diagnosis and monitoring, and is suitable for medical practitioners, biomedical engineers, and core image processing researchers. © 2014 by Taylor & Francis Group, LLC.
date: 2014
publisher: CRC Press
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85054687534&doi=10.1201%2fb16703&partnerID=40&md5=2d6e9cc94d56691d4f844bca4054706c
id_number: 10.1201/b16703
full_text_status: none
publication: Surface Imaging for Biomedical Applications
pagerange: 1-309
refereed: TRUE
isbn: 9781482215793; 9781482215786
citation:   Hani, A.F.M.  (2014) Surface imaging for biomedical applications.     CRC Press, pp. 1-309.  ISBN 9781482215793; 9781482215786