Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications

Qiang Li, Hidetaka Arimura, Kunio Doi

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Computer-aided diagnostic (CAD) schemes have been developed to assist radiologists in the detection of various abnormalities in medical images such as lung nodules, intracranial aneurysms, and breast microcalcifications. In order to improve the sensitivity for detection of abnormalities, many researchers have employed filters for enhancement of a specific type of abnormality. However, these filters generally enhance not only the specific type of lesion, but also normal anatomic structures such as ribs, blood vessels, and airway walls. Therefore, lesions are often detected together with a large number of false positives caused by the normal anatomic structures. In this study, we developed selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications, which can simultaneously enhance a specific type of lesion and suppress normal anatomic structures such as blood vessels and airway walls. Therefore, as preprocessing steps, these filters would be useful for improving the sensitivity of lesion detection and for reducing the number of false positives. We applied the selective enhancement filters to two-dimensional mammography, three-dimensional computed-tomography images, and magnetic resonance angiography (MRA) images to show its effectiveness for the enhancement of lung nodules, intracranial aneurysms, and breast microcalcifications.

Original languageEnglish
Pages (from-to)929-934
Number of pages6
JournalInternational Congress Series
Volume1268
Issue numberC
DOIs
Publication statusPublished - Jun 1 2004
Externally publishedYes

Fingerprint

Calcinosis
Intracranial Aneurysm
Breast
Lung
Blood Vessels
Magnetic Resonance Angiography
Ribs
Mammography
Tomography
Research Personnel

All Science Journal Classification (ASJC) codes

  • Medicine(all)

Cite this

Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications. / Li, Qiang; Arimura, Hidetaka; Doi, Kunio.

In: International Congress Series, Vol. 1268, No. C, 01.06.2004, p. 929-934.

Research output: Contribution to journalArticle

@article{004f14454ab84dce99489018eb82b84a,
title = "Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications",
abstract = "Computer-aided diagnostic (CAD) schemes have been developed to assist radiologists in the detection of various abnormalities in medical images such as lung nodules, intracranial aneurysms, and breast microcalcifications. In order to improve the sensitivity for detection of abnormalities, many researchers have employed filters for enhancement of a specific type of abnormality. However, these filters generally enhance not only the specific type of lesion, but also normal anatomic structures such as ribs, blood vessels, and airway walls. Therefore, lesions are often detected together with a large number of false positives caused by the normal anatomic structures. In this study, we developed selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications, which can simultaneously enhance a specific type of lesion and suppress normal anatomic structures such as blood vessels and airway walls. Therefore, as preprocessing steps, these filters would be useful for improving the sensitivity of lesion detection and for reducing the number of false positives. We applied the selective enhancement filters to two-dimensional mammography, three-dimensional computed-tomography images, and magnetic resonance angiography (MRA) images to show its effectiveness for the enhancement of lung nodules, intracranial aneurysms, and breast microcalcifications.",
author = "Qiang Li and Hidetaka Arimura and Kunio Doi",
year = "2004",
month = "6",
day = "1",
doi = "10.1016/j.ics.2004.03.372",
language = "English",
volume = "1268",
pages = "929--934",
journal = "International Congress Series",
issn = "0531-5131",
publisher = "Elsevier BV",
number = "C",

}

TY - JOUR

T1 - Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications

AU - Li, Qiang

AU - Arimura, Hidetaka

AU - Doi, Kunio

PY - 2004/6/1

Y1 - 2004/6/1

N2 - Computer-aided diagnostic (CAD) schemes have been developed to assist radiologists in the detection of various abnormalities in medical images such as lung nodules, intracranial aneurysms, and breast microcalcifications. In order to improve the sensitivity for detection of abnormalities, many researchers have employed filters for enhancement of a specific type of abnormality. However, these filters generally enhance not only the specific type of lesion, but also normal anatomic structures such as ribs, blood vessels, and airway walls. Therefore, lesions are often detected together with a large number of false positives caused by the normal anatomic structures. In this study, we developed selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications, which can simultaneously enhance a specific type of lesion and suppress normal anatomic structures such as blood vessels and airway walls. Therefore, as preprocessing steps, these filters would be useful for improving the sensitivity of lesion detection and for reducing the number of false positives. We applied the selective enhancement filters to two-dimensional mammography, three-dimensional computed-tomography images, and magnetic resonance angiography (MRA) images to show its effectiveness for the enhancement of lung nodules, intracranial aneurysms, and breast microcalcifications.

AB - Computer-aided diagnostic (CAD) schemes have been developed to assist radiologists in the detection of various abnormalities in medical images such as lung nodules, intracranial aneurysms, and breast microcalcifications. In order to improve the sensitivity for detection of abnormalities, many researchers have employed filters for enhancement of a specific type of abnormality. However, these filters generally enhance not only the specific type of lesion, but also normal anatomic structures such as ribs, blood vessels, and airway walls. Therefore, lesions are often detected together with a large number of false positives caused by the normal anatomic structures. In this study, we developed selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications, which can simultaneously enhance a specific type of lesion and suppress normal anatomic structures such as blood vessels and airway walls. Therefore, as preprocessing steps, these filters would be useful for improving the sensitivity of lesion detection and for reducing the number of false positives. We applied the selective enhancement filters to two-dimensional mammography, three-dimensional computed-tomography images, and magnetic resonance angiography (MRA) images to show its effectiveness for the enhancement of lung nodules, intracranial aneurysms, and breast microcalcifications.

UR - http://www.scopus.com/inward/record.url?scp=84968924957&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84968924957&partnerID=8YFLogxK

U2 - 10.1016/j.ics.2004.03.372

DO - 10.1016/j.ics.2004.03.372

M3 - Article

VL - 1268

SP - 929

EP - 934

JO - International Congress Series

JF - International Congress Series

SN - 0531-5131

IS - C

ER -