The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Dalam saringan untuk kanser paru-paru primer dengan radiografi dada biasa, sistem diagnosis berbantukan komputer sedang dibangunkan untuk mengurangkan tugas ahli radiologi dada dan risiko kehilangan kes positif. Kami menilai penapis perbezaan yang meningkatkan ketumpatan nodul dalam prapemprosesan imej X-ray dada. Memandangkan tulang rusuk sering menjejaskan pengesanan nodul pulmonari, kami mereka bentuk penapis berbentuk mata agar sesuai dengan bentuk tulang rusuk. Walaupun penapis ini meningkatkan kadar pengesanan nodul, ia tidak dapat mengesan nodul berhampiran dinding toraks. Dinding toraks kemudiannya digariskan oleh komputer dengan transformasi Hough untuk pengesanan talian. Berdasarkan garis besar, arah penapis berbentuk mata ditentukan. Dengan teknik ini, penapis tidak terjejas oleh perubahan besar dalam bentuk struktur anatomi, seperti tulang rusuk dan dinding toraks, dan boleh mengesan nodul pulmonari tanpa mengira lokasinya.
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Salinan
Tetsuo SHIMADA, Naoki KODAMA, Hideya SATOH, Kei HIWATASHI, Takuya ISHIDA, Yoshitaka NISHIMURA, Ichiroh FUKUMOTO, "Proposal of a Nodule Density-Enhancing Filter for Plain Chest Radiographs on the Basis of the Thoracic Wall Outline Detected by Hough Transformation" in IEICE TRANSACTIONS on Information,
vol. E85-D, no. 1, pp. 88-95, January 2002, doi: .
Abstract: In screening for primary lung cancer with plain chest radiography, computer-aided diagnosis systems are being developed to reduce chest radiologists' task and the risk of missing positive cases. We evaluated a difference filter that enhances nodule densities in the preprocessing of chest X-ray images. Since ribs often affect detection of pulmonary nodules, we designed an eye-shaped filter to fit the rib shape. Although this filter increased the nodule detection rate, it could not detect nodules near the thoracic wall. The thoracic wall was then outlined by computers with Hough transformation for line detection. On the basis of the outline, the direction of the eye-shaped filter was determined. With this technique, the filter was not affected by considerable changes in the shape of anatomical structures, such as ribs and the thoracic wall, and could detect pulmonary nodules regardless of their location.
URL: https://global.ieice.org/en_transactions/information/10.1587/e85-d_1_88/_p
Salinan
@ARTICLE{e85-d_1_88,
author={Tetsuo SHIMADA, Naoki KODAMA, Hideya SATOH, Kei HIWATASHI, Takuya ISHIDA, Yoshitaka NISHIMURA, Ichiroh FUKUMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={Proposal of a Nodule Density-Enhancing Filter for Plain Chest Radiographs on the Basis of the Thoracic Wall Outline Detected by Hough Transformation},
year={2002},
volume={E85-D},
number={1},
pages={88-95},
abstract={In screening for primary lung cancer with plain chest radiography, computer-aided diagnosis systems are being developed to reduce chest radiologists' task and the risk of missing positive cases. We evaluated a difference filter that enhances nodule densities in the preprocessing of chest X-ray images. Since ribs often affect detection of pulmonary nodules, we designed an eye-shaped filter to fit the rib shape. Although this filter increased the nodule detection rate, it could not detect nodules near the thoracic wall. The thoracic wall was then outlined by computers with Hough transformation for line detection. On the basis of the outline, the direction of the eye-shaped filter was determined. With this technique, the filter was not affected by considerable changes in the shape of anatomical structures, such as ribs and the thoracic wall, and could detect pulmonary nodules regardless of their location.},
keywords={},
doi={},
ISSN={},
month={January},}
Salinan
TY - JOUR
TI - Proposal of a Nodule Density-Enhancing Filter for Plain Chest Radiographs on the Basis of the Thoracic Wall Outline Detected by Hough Transformation
T2 - IEICE TRANSACTIONS on Information
SP - 88
EP - 95
AU - Tetsuo SHIMADA
AU - Naoki KODAMA
AU - Hideya SATOH
AU - Kei HIWATASHI
AU - Takuya ISHIDA
AU - Yoshitaka NISHIMURA
AU - Ichiroh FUKUMOTO
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E85-D
IS - 1
JA - IEICE TRANSACTIONS on Information
Y1 - January 2002
AB - In screening for primary lung cancer with plain chest radiography, computer-aided diagnosis systems are being developed to reduce chest radiologists' task and the risk of missing positive cases. We evaluated a difference filter that enhances nodule densities in the preprocessing of chest X-ray images. Since ribs often affect detection of pulmonary nodules, we designed an eye-shaped filter to fit the rib shape. Although this filter increased the nodule detection rate, it could not detect nodules near the thoracic wall. The thoracic wall was then outlined by computers with Hough transformation for line detection. On the basis of the outline, the direction of the eye-shaped filter was determined. With this technique, the filter was not affected by considerable changes in the shape of anatomical structures, such as ribs and the thoracic wall, and could detect pulmonary nodules regardless of their location.
ER -