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 language | English |
|---|---|
| Pages (from-to) | 929-934 |
| Number of pages | 6 |
| Journal | International Congress Series |
| Volume | 1268 |
| Issue number | C |
| DOIs | |
| Publication status | Published - Jun 1 2004 |
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All Science Journal Classification (ASJC) codes
- Medicine(all)
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Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications. / Li, Qiang; Arimura, Hitetaka; Doi, Kunio.
In: International Congress Series, Vol. 1268, No. C, 01.06.2004, p. 929-934.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Selective enhancement filters for lung nodules, intracranial aneurysms, and breast microcalcifications
AU - Li, Qiang
AU - Arimura, Hitetaka
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.
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U2 - 10.1016/j.ics.2004.03.372
DO - 10.1016/j.ics.2004.03.372
M3 - Article
AN - SCOPUS:84968924957
VL - 1268
SP - 929
EP - 934
JO - International Congress Series
JF - International Congress Series
SN - 0531-5131
IS - C
ER -