Joint segmentation methods of tumor delineation in PET - CT images

A review

Research output: Contribution to journalArticle

Abstract

Segmentation is one of the crucial steps in applications of medical diagnosis. The accurate image segmentation method plays an important role in proper detection of disease, staging, diagnosis, radiotherapy treatment planning and monitoring. In the advances of image segmentation techniques, joint segmentation of PET-CT images has increasingly received much attention in the field of both clinic and image processing. PET - CT images have become a standard method for tumor delineation and cancer assessment. Due to low spatial resolution in PET and low contrast in CT images, automated segmentation of tumor in PET - CT images is a well-known puzzle task. This paper attempted to describe and review four innovative methods used in the joint segmentation of functional and anatomical PET - CT images for tumor delineation. For the basic knowledge, the state of the art image segmentation methods were briefly reviewed and fundamental of PET and CT images were briefly explained. Further, the specific characteristics and limitations of four joint segmentation methods were critically discussed.

Original languageEnglish
Pages (from-to)137-145
Number of pages9
JournalInternational Journal of Engineering and Technology(UAE)
Volume7
Issue number3
DOIs
Publication statusPublished - 1 Jan 2018

Fingerprint

Image segmentation
Tumors
Joints
Neoplasms
Radiotherapy
Image processing
Planning
Monitoring
Positron Emission Tomography Computed Tomography
Therapeutics

Keywords

  • Joint segmentation
  • PET and CT images
  • Review
  • Tumor

ASJC Scopus subject areas

  • Biotechnology
  • Computer Science (miscellaneous)
  • Environmental Engineering
  • Chemical Engineering(all)
  • Engineering(all)
  • Hardware and Architecture

Cite this

Joint segmentation methods of tumor delineation in PET - CT images : A review. / Rossi, Farli; Abd Rahni, Ashrani Aizzuddin.

In: International Journal of Engineering and Technology(UAE), Vol. 7, No. 3, 01.01.2018, p. 137-145.

Research output: Contribution to journalArticle

@article{74b51845ae85423aa4a548168cbe5113,
title = "Joint segmentation methods of tumor delineation in PET - CT images: A review",
abstract = "Segmentation is one of the crucial steps in applications of medical diagnosis. The accurate image segmentation method plays an important role in proper detection of disease, staging, diagnosis, radiotherapy treatment planning and monitoring. In the advances of image segmentation techniques, joint segmentation of PET-CT images has increasingly received much attention in the field of both clinic and image processing. PET - CT images have become a standard method for tumor delineation and cancer assessment. Due to low spatial resolution in PET and low contrast in CT images, automated segmentation of tumor in PET - CT images is a well-known puzzle task. This paper attempted to describe and review four innovative methods used in the joint segmentation of functional and anatomical PET - CT images for tumor delineation. For the basic knowledge, the state of the art image segmentation methods were briefly reviewed and fundamental of PET and CT images were briefly explained. Further, the specific characteristics and limitations of four joint segmentation methods were critically discussed.",
keywords = "Joint segmentation, PET and CT images, Review, Tumor",
author = "Farli Rossi and {Abd Rahni}, {Ashrani Aizzuddin}",
year = "2018",
month = "1",
day = "1",
doi = "10.14419/ijet.v7i3.32.18414",
language = "English",
volume = "7",
pages = "137--145",
journal = "International Journal of Engineering and Technology(UAE)",
issn = "2227-524X",
publisher = "Science Publishing Corporation Inc",
number = "3",

}

TY - JOUR

T1 - Joint segmentation methods of tumor delineation in PET - CT images

T2 - A review

AU - Rossi, Farli

AU - Abd Rahni, Ashrani Aizzuddin

PY - 2018/1/1

Y1 - 2018/1/1

N2 - Segmentation is one of the crucial steps in applications of medical diagnosis. The accurate image segmentation method plays an important role in proper detection of disease, staging, diagnosis, radiotherapy treatment planning and monitoring. In the advances of image segmentation techniques, joint segmentation of PET-CT images has increasingly received much attention in the field of both clinic and image processing. PET - CT images have become a standard method for tumor delineation and cancer assessment. Due to low spatial resolution in PET and low contrast in CT images, automated segmentation of tumor in PET - CT images is a well-known puzzle task. This paper attempted to describe and review four innovative methods used in the joint segmentation of functional and anatomical PET - CT images for tumor delineation. For the basic knowledge, the state of the art image segmentation methods were briefly reviewed and fundamental of PET and CT images were briefly explained. Further, the specific characteristics and limitations of four joint segmentation methods were critically discussed.

AB - Segmentation is one of the crucial steps in applications of medical diagnosis. The accurate image segmentation method plays an important role in proper detection of disease, staging, diagnosis, radiotherapy treatment planning and monitoring. In the advances of image segmentation techniques, joint segmentation of PET-CT images has increasingly received much attention in the field of both clinic and image processing. PET - CT images have become a standard method for tumor delineation and cancer assessment. Due to low spatial resolution in PET and low contrast in CT images, automated segmentation of tumor in PET - CT images is a well-known puzzle task. This paper attempted to describe and review four innovative methods used in the joint segmentation of functional and anatomical PET - CT images for tumor delineation. For the basic knowledge, the state of the art image segmentation methods were briefly reviewed and fundamental of PET and CT images were briefly explained. Further, the specific characteristics and limitations of four joint segmentation methods were critically discussed.

KW - Joint segmentation

KW - PET and CT images

KW - Review

KW - Tumor

UR - http://www.scopus.com/inward/record.url?scp=85052488399&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85052488399&partnerID=8YFLogxK

U2 - 10.14419/ijet.v7i3.32.18414

DO - 10.14419/ijet.v7i3.32.18414

M3 - Article

VL - 7

SP - 137

EP - 145

JO - International Journal of Engineering and Technology(UAE)

JF - International Journal of Engineering and Technology(UAE)

SN - 2227-524X

IS - 3

ER -