A new computer-aided method for detecting brain metastases on contrast-enhanced MR images

Hyeuknam Kwon, Yoon Mo Jung, Jaeseok Park, Jin Keun Seo

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper presents a new computer-aided method for detection of brain metastases at early-stage (diameter less than 6mm) on MR images. The proposed detection method has a high level of sensitivity with a relatively low number of false-positives. The strong detection capability of the method is possible due to a size filtering function that sorts out metastases based on the geometry and size. In experiments, we used whole-brain MR data acquired with a contrast-enhanced black-blood type MR imaging technique, which enables distinction of brain metastases from blood vessels. The proposed method performed highly in analysis of the results of experimental MR data and numerical simulation. Because the proposed method has unique features, it could be used in combination with a complementary pre-existing technique.

Original languageEnglish
Pages (from-to)491-505
Number of pages15
JournalInverse Problems and Imaging
Volume8
Issue number2
DOIs
Publication statusPublished - 2014 Jan 1

Fingerprint

Metastasis
Brain
Blood vessels
Blood
Blood Vessels
Imaging techniques
False Positive
Geometry
Sort
Computer simulation
Filtering
Imaging
Numerical Simulation
Experiments
Experiment

Keywords

  • Brain metastases
  • Computer-aided detection
  • Filtering function
  • MRI
  • Segmentation

ASJC Scopus subject areas

  • Analysis
  • Control and Optimization
  • Discrete Mathematics and Combinatorics
  • Modelling and Simulation

Cite this

A new computer-aided method for detecting brain metastases on contrast-enhanced MR images. / Kwon, Hyeuknam; Jung, Yoon Mo; Park, Jaeseok; Seo, Jin Keun.

In: Inverse Problems and Imaging, Vol. 8, No. 2, 01.01.2014, p. 491-505.

Research output: Contribution to journalArticle

Kwon, Hyeuknam ; Jung, Yoon Mo ; Park, Jaeseok ; Seo, Jin Keun. / A new computer-aided method for detecting brain metastases on contrast-enhanced MR images. In: Inverse Problems and Imaging. 2014 ; Vol. 8, No. 2. pp. 491-505.
@article{3a45bd8b743d41618b625208306cbcd5,
title = "A new computer-aided method for detecting brain metastases on contrast-enhanced MR images",
abstract = "This paper presents a new computer-aided method for detection of brain metastases at early-stage (diameter less than 6mm) on MR images. The proposed detection method has a high level of sensitivity with a relatively low number of false-positives. The strong detection capability of the method is possible due to a size filtering function that sorts out metastases based on the geometry and size. In experiments, we used whole-brain MR data acquired with a contrast-enhanced black-blood type MR imaging technique, which enables distinction of brain metastases from blood vessels. The proposed method performed highly in analysis of the results of experimental MR data and numerical simulation. Because the proposed method has unique features, it could be used in combination with a complementary pre-existing technique.",
keywords = "Brain metastases, Computer-aided detection, Filtering function, MRI, Segmentation",
author = "Hyeuknam Kwon and Jung, {Yoon Mo} and Jaeseok Park and Seo, {Jin Keun}",
year = "2014",
month = "1",
day = "1",
doi = "10.3934/ipi.2014.8.491",
language = "English",
volume = "8",
pages = "491--505",
journal = "Inverse Problems and Imaging",
issn = "1930-8337",
publisher = "American Institute of Mathematical Sciences",
number = "2",

}

TY - JOUR

T1 - A new computer-aided method for detecting brain metastases on contrast-enhanced MR images

AU - Kwon, Hyeuknam

AU - Jung, Yoon Mo

AU - Park, Jaeseok

AU - Seo, Jin Keun

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This paper presents a new computer-aided method for detection of brain metastases at early-stage (diameter less than 6mm) on MR images. The proposed detection method has a high level of sensitivity with a relatively low number of false-positives. The strong detection capability of the method is possible due to a size filtering function that sorts out metastases based on the geometry and size. In experiments, we used whole-brain MR data acquired with a contrast-enhanced black-blood type MR imaging technique, which enables distinction of brain metastases from blood vessels. The proposed method performed highly in analysis of the results of experimental MR data and numerical simulation. Because the proposed method has unique features, it could be used in combination with a complementary pre-existing technique.

AB - This paper presents a new computer-aided method for detection of brain metastases at early-stage (diameter less than 6mm) on MR images. The proposed detection method has a high level of sensitivity with a relatively low number of false-positives. The strong detection capability of the method is possible due to a size filtering function that sorts out metastases based on the geometry and size. In experiments, we used whole-brain MR data acquired with a contrast-enhanced black-blood type MR imaging technique, which enables distinction of brain metastases from blood vessels. The proposed method performed highly in analysis of the results of experimental MR data and numerical simulation. Because the proposed method has unique features, it could be used in combination with a complementary pre-existing technique.

KW - Brain metastases

KW - Computer-aided detection

KW - Filtering function

KW - MRI

KW - Segmentation

UR - http://www.scopus.com/inward/record.url?scp=84900414699&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84900414699&partnerID=8YFLogxK

U2 - 10.3934/ipi.2014.8.491

DO - 10.3934/ipi.2014.8.491

M3 - Article

VL - 8

SP - 491

EP - 505

JO - Inverse Problems and Imaging

JF - Inverse Problems and Imaging

SN - 1930-8337

IS - 2

ER -