書誌事項
- タイトル別名
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- Semi-automated Segmentation of a Glioblastoma Multiforme on Brain MR Images for Radiotherapy Planning
- ホウシャセン チリョウ ケイカク ノ タメ ノ トウブ MR ガゾウ ニ オケル コウガ シュ ノ ハンジドウ チュウシュツ
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We propose a computerized method for semi-automated segmentation of the gross tumor volume (GTV) of a glioblastoma multiforme (GBM) on brain MR images for radiotherapy planning (RTP). Three-dimensional (3D) MR images of 28 cases with a GBM were used in this study. First, a sphere volume of interest (VOI) including the GBM was selected by clicking a part of the GBM region in the 3D image. Then, the sphere VOI was transformed to a two-dimensional (2D) image by use of a spiral-scanning technique. We employed active contour models (ACM) to delineate an optimal outline of the GBM in the transformed 2D image. After inverse transform of the optimal outline to the 3D space, a morphological filter was applied to smooth the shape of the 3D segmented region. For evaluation of our computerized method, we compared the computer output with manually segmented regions, which were obtained by a therapeutic radiologist using a manual tracking method. In evaluating our segmentation method, we employed the Jaccard similarity coefficient (JSC) and the true segmentation coefficient (TSC) in volumes between the computer output and the manually segmented region. The mean and standard deviation of JSC and TSC were 74.2±9.8% and 84.1±7.1%, respectively. Our segmentation method provided a relatively accurate outline for GBM and would be useful for radiotherapy planning.
収録刊行物
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- 日本放射線技術学会雑誌
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日本放射線技術学会雑誌 66 (4), 353-362, 2010
公益社団法人 日本放射線技術学会
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詳細情報 詳細情報について
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- CRID
- 1390282681340124928
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- NII論文ID
- 10026453159
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- NII書誌ID
- AN00197784
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- COI
- 1:STN:280:DC%2BC3cnms1Whuw%3D%3D
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- ISSN
- 18814883
- 03694305
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- NDL書誌ID
- 10687592
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- PubMed
- 20625222
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- PubMed
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可