A new scheme for computer-aided defection of CT lung nodules designed in consideration of ground-glass opacity

Sumiaki Matsumoto; Yoshiharu Ohno; Hitoshi Yamagata; Hiroshi Asahina; Kazuro Sugimura

A new scheme for computer-aided defection of CT lung nodules designed in consideration of ground-glass opacity

Sumiaki Matsumoto, Yoshiharu Ohno, Hitoshi Yamagata, Hiroshi Asahina, Kazuro Sugimura

Research output: Contribution to journal › Article › peer-review

Abstract

Localized ground-glass opacity (GGO) is an important manifestation of lung cancer in CT images We have developed a new CAD scheme designed to detect both solid nodules and nodules with GGO whose key process is adaptive threshold selection. The scheme was tested with multi-detector row CT images from 50 patients. A total of 129 nodules (consisting of 107 solid nodules and 22 nodules with GGO) of 3 mm or larger in diameter were used as a reference standard. The scheme showed a reasonable performance with 5.8 false positives per case at the sensitivity of 88% (90% for solid nodules and 77% for nodules with GGO).

Original language	English
Pages (from-to)	352-354
Number of pages	3
Journal	International Journal of Computer Assisted Radiology and Surgery
Volume	1
Issue number	SUPPL. 7
Publication status	Published - 06-2006
Externally published	Yes

All Science Journal Classification (ASJC) codes

Health Informatics
Radiology Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Surgery
Biomedical Engineering
Computer Science Applications
Computer Graphics and Computer-Aided Design

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "A new scheme for computer-aided defection of CT lung nodules designed in consideration of ground-glass opacity",

abstract = "Localized ground-glass opacity (GGO) is an important manifestation of lung cancer in CT images We have developed a new CAD scheme designed to detect both solid nodules and nodules with GGO whose key process is adaptive threshold selection. The scheme was tested with multi-detector row CT images from 50 patients. A total of 129 nodules (consisting of 107 solid nodules and 22 nodules with GGO) of 3 mm or larger in diameter were used as a reference standard. The scheme showed a reasonable performance with 5.8 false positives per case at the sensitivity of 88% (90% for solid nodules and 77% for nodules with GGO).",

author = "Sumiaki Matsumoto and Yoshiharu Ohno and Hitoshi Yamagata and Hiroshi Asahina and Kazuro Sugimura",

year = "2006",

month = jun,

language = "English",

volume = "1",

pages = "352--354",

journal = "International Journal of Computer Assisted Radiology and Surgery",

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T1 - A new scheme for computer-aided defection of CT lung nodules designed in consideration of ground-glass opacity

AU - Matsumoto, Sumiaki

AU - Ohno, Yoshiharu

AU - Yamagata, Hitoshi

AU - Asahina, Hiroshi

AU - Sugimura, Kazuro

PY - 2006/6

Y1 - 2006/6

N2 - Localized ground-glass opacity (GGO) is an important manifestation of lung cancer in CT images We have developed a new CAD scheme designed to detect both solid nodules and nodules with GGO whose key process is adaptive threshold selection. The scheme was tested with multi-detector row CT images from 50 patients. A total of 129 nodules (consisting of 107 solid nodules and 22 nodules with GGO) of 3 mm or larger in diameter were used as a reference standard. The scheme showed a reasonable performance with 5.8 false positives per case at the sensitivity of 88% (90% for solid nodules and 77% for nodules with GGO).

AB - Localized ground-glass opacity (GGO) is an important manifestation of lung cancer in CT images We have developed a new CAD scheme designed to detect both solid nodules and nodules with GGO whose key process is adaptive threshold selection. The scheme was tested with multi-detector row CT images from 50 patients. A total of 129 nodules (consisting of 107 solid nodules and 22 nodules with GGO) of 3 mm or larger in diameter were used as a reference standard. The scheme showed a reasonable performance with 5.8 false positives per case at the sensitivity of 88% (90% for solid nodules and 77% for nodules with GGO).

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VL - 1

SP - 352

EP - 354

JO - International Journal of Computer Assisted Radiology and Surgery

JF - International Journal of Computer Assisted Radiology and Surgery

IS - SUPPL. 7

ER -

A new scheme for computer-aided defection of CT lung nodules designed in consideration of ground-glass opacity

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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