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Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography.
https://repo.qst.go.jp/records/49384
https://repo.qst.go.jp/records/49384106ae894-a17a-482f-bc8d-1a272ffaa554
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2018-12-28 | |||||
| タイトル | ||||||
| タイトル | Deep Learning Electronic Cleansing for Single- and Dual-Energy CT Colonography. | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Tachibana, Rie
× Tachibana, Rie× Janne, J Näppi× Ota, Junko× Kohlhase, Nadja× Hironaka, Toru× Hyung Kim, Se× Regge, Daniele× Yoshida, Hiroyuki× Ota, Junko |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Electronic cleansing (EC) is used for computational removal of residual feces and fluid tagged with an orally administered contrast agent on CT colonographic images to improve the visibility of polyps during virtual endoscopic "fly-through" reading. A recent trend in CT colonography is to perform a low-dose CT scanning protocol with the patient having undergone reduced- or noncathartic bowel preparation. Although several EC schemes exist, they have been developed for use with cathartic bowel preparation and high-radiation-dose CT, and thus, at a low dose with noncathartic bowel preparation, they tend to generate cleansing artifacts that distract and mislead readers. Deep learning can be used for improvement of the image quality with EC at CT colonography. Deep learning EC can produce substantially fewer cleansing artifacts at dual-energy than at single-energy CT colonography, because the dual-energy information can be used to identify relevant material in the colon more precisely than is possible with the single x-ray attenuation value. Because the number of annotated training images is limited at CT colonography, transfer learning can be used for appropriate training of deep learning algorithms. The purposes of this article are to review the causes of cleansing artifacts that distract and mislead readers in conventional EC schemes, to describe the applications of deep learning and dual-energy CT colonography to EC of the colon, and to demonstrate the improvements in image quality with EC and deep learning at single-energy and dual-energy CT colonography with noncathartic bowel preparation. RSNA, 2018. | |||||
| 書誌情報 |
Radiographics : a review publication of the Radiological Society of North America, Inc 巻 38, 号 7, p. 2034-2050, 発行日 2018-11 |
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| 出版者 | ||||||
| 出版者 | Radiological Society of North America | |||||
| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 0271-5333 | |||||
| PubMed番号 | ||||||
| 識別子タイプ | PMID | |||||
| 関連識別子 | 30422761 | |||||
| DOI | ||||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1148/rg.2018170173 | |||||
| 関連サイト | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://pubs.rsna.org/doi/full/10.1148/rg.2018170173 | |||||
