ディジタルファントムによる非線形適応型平滑化フィルタの評価

As a result of the development of multi-slice CT, diagnoses based on three-dimensional reconstruction images and multi-planar reconstruction have spread. For these applications, which require high z-resolution, thin slice imaging is essential. However, because z-resolution is always based on a trade...

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Published in日本放射線技術学会雑誌 Vol. 64; no. 4; pp. 434 - 441
Main Authors 石屋, 博樹, 梁川, 功, 大下, 亮介, 森, 一生, 佐藤, 和宏, 後藤, 光範
Format Journal Article
LanguageJapanese
Published 公益社団法人 日本放射線技術学会 2008
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ISSN0369-4305
1881-4883
DOI10.6009/jjrt.64.434

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Abstract As a result of the development of multi-slice CT, diagnoses based on three-dimensional reconstruction images and multi-planar reconstruction have spread. For these applications, which require high z-resolution, thin slice imaging is essential. However, because z-resolution is always based on a trade-off with image noise, thin slice imaging is necessarily accompanied by an increase in noise level. To improve the quality of thin slice images, a non-linear adaptive smoothing filter has been developed, and is being widely applied to clinical use. We developed a digital bar pattern phantom for the purpose of evaluating the effect of this filter and attempted evaluation from an addition image of the bar pattern phantom and the image of the water phantom. The effect of this filter was changed in a complex manner by the contrast and spatial frequency of the original image. We have confirmed the reduced effect of image noise in the low frequency component of the image, but decreased contrast or increased quantity of noise in the image of the high frequency component. This result represents the effect of change in the adaptation of this filter. The digital phantom was useful for this evaluation, but to understand the total effect of filtering, much improvement of the shape of the digital phantom is required.
AbstractList As a result of the development of multi-slice CT, diagnoses based on three-dimensional reconstruction images and multi-planar reconstruction have spread. For these applications, which require high z-resolution, thin slice imaging is essential. However, because z-resolution is always based on a trade-off with image noise, thin slice imaging is necessarily accompanied by an increase in noise level. To improve the quality of thin slice images, a non-linear adaptive smoothing filter has been developed, and is being widely applied to clinical use. We developed a digital bar pattern phantom for the purpose of evaluating the effect of this filter and attempted evaluation from an addition image of the bar pattern phantom and the image of the water phantom. The effect of this filter was changed in a complex manner by the contrast and spatial frequency of the original image. We have confirmed the reduced effect of image noise in the low frequency component of the image, but decreased contrast or increased quantity of noise in the image of the high frequency component. This result represents the effect of change in the adaptation of this filter. The digital phantom was useful for this evaluation, but to understand the total effect of filtering, much improvement of the shape of the digital phantom is required.
Author 大下, 亮介
後藤, 光範
佐藤, 和宏
森, 一生
梁川, 功
石屋, 博樹
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References 3) Wessling J, Esseling R, Raupach R, et al. The effect of dose reduction and feasibility of edge-preserving noise reduction on the detection of liver lesions using MSCT. Eur Radiol 2007; 17 (7) : 1885-1891.
8)佐々木忠司,羽成孝夫,佐々木真理,他.CT灌流画像における量子ノイズ除去フィルタを用いた被曝線量低減の検討.日放技学誌 2004;60(12):1688-1693
5) Kalra MK, Wittram C, Maher MM, et al. Can noise reduction filters improve low-radiation-dose chest CT images? Pilot study. Radiology 2003; 228 (1) : 257-264.
4) Kalra MK, Maher MM, Sahani DV, et al. Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot study. Radiology 2003; 228 (1) : 251-256.
1) Flohr TG, Stierstorfer K, Ulzheimer S, et al. Image reconstruction and image quality evaluation for a 64-slice CT scanner with z-flying focal spot. Med Phys 2005; 32 (8) : 2536-2547.
6) Okumura M, Ota T, Tsukagoshi S, et al. New method of evaluating edge-preserving adaptive filters for computed tomography (CT) : digital phantom method. Jpn J Radiol Technol 2006; 62 (7) : 971-978.
9)石原敏裕.量子ノイズ低減化フィルタ(量子フィルタ)の有用性.Rad Fan 2005;9:45-49
11)花井耕造,石田智広,井田義宏,他.ラセンCTの物理的な画像特性の評価と測定法に関する報告.日放技学誌 1997;53(11):1714-1732
2) Parrish FJ. Volume CT: state-of-the-art reporting. AJR Am J Roentgenol 2007; 189 (3) : 528-534.
7)塚越伸介.量子ノイズ低減化フィルタ(量子フィルタ)による低被ばく時の画質向上.日本放射線技術学会 放射線撮影分科会誌 2004;43:42-43
10)森 一生.MRI画像の雑音について.宮城MR技術研究会誌 2005;5:27-36
References_xml – reference: 11)花井耕造,石田智広,井田義宏,他.ラセンCTの物理的な画像特性の評価と測定法に関する報告.日放技学誌 1997;53(11):1714-1732.
– reference: 9)石原敏裕.量子ノイズ低減化フィルタ(量子フィルタ)の有用性.Rad Fan 2005;9:45-49.
– reference: 1) Flohr TG, Stierstorfer K, Ulzheimer S, et al. Image reconstruction and image quality evaluation for a 64-slice CT scanner with z-flying focal spot. Med Phys 2005; 32 (8) : 2536-2547.
– reference: 4) Kalra MK, Maher MM, Sahani DV, et al. Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot study. Radiology 2003; 228 (1) : 251-256.
– reference: 7)塚越伸介.量子ノイズ低減化フィルタ(量子フィルタ)による低被ばく時の画質向上.日本放射線技術学会 放射線撮影分科会誌 2004;43:42-43.
– reference: 10)森 一生.MRI画像の雑音について.宮城MR技術研究会誌 2005;5:27-36.
– reference: 3) Wessling J, Esseling R, Raupach R, et al. The effect of dose reduction and feasibility of edge-preserving noise reduction on the detection of liver lesions using MSCT. Eur Radiol 2007; 17 (7) : 1885-1891.
– reference: 5) Kalra MK, Wittram C, Maher MM, et al. Can noise reduction filters improve low-radiation-dose chest CT images? Pilot study. Radiology 2003; 228 (1) : 257-264.
– reference: 2) Parrish FJ. Volume CT: state-of-the-art reporting. AJR Am J Roentgenol 2007; 189 (3) : 528-534.
– reference: 8)佐々木忠司,羽成孝夫,佐々木真理,他.CT灌流画像における量子ノイズ除去フィルタを用いた被曝線量低減の検討.日放技学誌 2004;60(12):1688-1693.
– reference: 6) Okumura M, Ota T, Tsukagoshi S, et al. New method of evaluating edge-preserving adaptive filters for computed tomography (CT) : digital phantom method. Jpn J Radiol Technol 2006; 62 (7) : 971-978.
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Snippet As a result of the development of multi-slice CT, diagnoses based on three-dimensional reconstruction images and multi-planar reconstruction have spread. For...
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SubjectTerms adaptive filter
computed tomography (CT)
digital phantom
image processing
Title ディジタルファントムによる非線形適応型平滑化フィルタの評価
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