Literature DB >> 11212368

An active contour model for measuring the area of leg ulcers.

T D Jones1, P Plassmann.   

Abstract

Leg ulcers are chronic skin wounds that affect many people and take a long time to heal. The progress of wound healing and the effect of clinical treatments can be monitored partly by measuring the area of the wound. Measurements taken via manually based methods, such as using a computer pointing device to delineate the wound boundary in a digitized image, suffer from variations due to manual dexterity and differences of opinion between observers. An active contour model is presented that models the contour using piecewise B-spline arcs and uses the minimax principle to adaptively regularize the contour according to the local conditions in the wound image. The model makes use of the existing manual delineation process in order to initialize the solution and is shown to reduce the effect of the inherent variations upon the repeatability and consistency of area measurements in many cases.

Entities:  

Mesh:

Year:  2000        PMID: 11212368     DOI: 10.1109/42.897812

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  6 in total

1.  Efficient detection of wound-bed and peripheral skin with statistical colour models.

Authors:  Francisco J Veredas; Héctor Mesa; Laura Morente
Journal:  Med Biol Eng Comput       Date:  2015-01-07       Impact factor: 2.602

Review 2.  Diagnostic and Prognostic Utility of Non-Invasive Multimodal Imaging in Chronic Wound Monitoring: a Systematic Review.

Authors:  Rashmi Mukherjee; Suman Tewary; Aurobinda Routray
Journal:  J Med Syst       Date:  2017-02-13       Impact factor: 4.460

3.  Boundary determination of foot ulcer images by applying the associative hierarchical random field framework.

Authors:  Lei Wang; Peder C Pedersen; Emmanuel Agu; Diane Strong; Bengisu Tulu
Journal:  J Med Imaging (Bellingham)       Date:  2019-04-21

4.  Wound perimeter, area, and volume measurement based on laser 3D and color acquisition.

Authors:  Urban Pavlovčič; Janez Diaci; Janez Možina; Matija Jezeršek
Journal:  Biomed Eng Online       Date:  2015-04-24       Impact factor: 2.819

5.  Automated tissue classification framework for reproducible chronic wound assessment.

Authors:  Rashmi Mukherjee; Dhiraj Dhane Manohar; Dev Kumar Das; Arun Achar; Analava Mitra; Chandan Chakraborty
Journal:  Biomed Res Int       Date:  2014-07-08       Impact factor: 3.411

Review 6.  A Roadmap for Automatic Surgical Site Infection Detection and Evaluation Using User-Generated Incision Images.

Authors:  Ziyu Jiang; Randy Ardywibowo; Aven Samereh; Heather L Evans; William B Lober; Xiangyu Chang; Xiaoning Qian; Zhangyang Wang; Shuai Huang
Journal:  Surg Infect (Larchmt)       Date:  2019-08-19       Impact factor: 2.150

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.