グリッドコンピューティングを用いたボリュームレンダリング手法の開発

平成18年度電気・情報関連学会中国支部第57回連合大会資料 岡山理科大学, 岡山 (2006 10

Visualization based on grid computing for large-scale volume data

第10回IEEE広島支部学生シンポジウム(HISS), ポスター ; 開催場所:広島 ; 開催日:2008年11月21-23

Visualization based on grid computing for large-scale volume data

第10回IEEE広島支部学生シンポジウム(HISS), ポスター ; 開催場所:広島 ; 開催日:2008年11月21-23

Visualization Technique based on Grid Computing for Large-scale Volume-data

情報処理学会研究報告 グラフィクスとCAD研究会 2007.0

Visualization Technique based on Grid Computing for Large-scale Volume-data

近年, 高解像度化の進むCTやMRIから出力されるボリュームデータを,高精度にかつ高速に可視化するため,本研究ではグリッドコンピューティングを用いてボリュームレンダリングを行う手法を提案する.医療施設や研究機関に多数導入されている計算機を計算資源とするグリッドコンピューティングを用いる.計算能力の不均一な環境下において,可視性に基づき動的にタスクの投入を行うための手法を提案し,シミュレーションによりその有用性を確認した.提案手法をインプリメントし,グリッドコンピューティングを用いて大規模ボリュームデータのレンダリングを行った.To visualize high-resolution volumedata acquired from a recent CT or MRI, we propose a method for rendering the large-scale volume data using a grid computing. We use existing computers with non-homogeneous computing tasks to agent machines based on the visibility of divided volume data in a grid computing environment. Simulation results demonstrate the usefulness of the propose method. A large scale volumedata is rendered using our grid computing system

Bacillus thuringiensis Cry11Ba works synergistically with Cry4Aa but not with Cry11Aa for toxicity against mosquito Culex pipiens (Diptera: Culicidae) larvae

A 2,175-bp modified gene (cry11Ba-S1) encoding Cry11Ba from Bacillus thuringiensis subsp. jegathesan was designed and the recombinant protein was expressed as a fusion protein with glutathione S-transferase in Escherichia coli. The recombinant Cry11Ba was highly toxic against Culex pipiens mosquito larvae, being nine and 17 times more toxic than mosquitocidal Cry4Aa and Cry11Aa from Bacillus thuringiensis subsp. israelensis, respectively. Interestingly, a further increase in the toxicity of the recombinant Cry11Ba was achieved by mixing with Cry4Aa, but not with Cry11Aa. These findings suggested that Cry11Ba worked synergistically with Cry4Aa, but not with Cry11Aa, in exhibiting toxicity against C. pipiens larvae. On the other hand, the amount of Cry toxin bound to brush border membrane vesicles (BBMVs) did not significantly change between individual toxins and the toxin mixtures, suggesting that the increase in toxins binding to BBMVs was not a reason for the observed synergistic effect. It is generally accepted that synergism of toxins is a potentially powerful tool for enhancing insecticidal activity and managing Cry toxin resistance in mosquitoes. The mixture of Cry4Aa and Cry11Ba in order to increase toxicity would be very valuable in terms of mosquito control

Volume rendering using grid computing for large-scale volume data

In this paper, we propose a volume rendering method using grid computing for large-scale volume data. Grid computing is attractive because medical institutions and research facilities often have a large number of idle computers. A large-scale volume data is divided into sub-volumes and the sub-volumes are rendered using grid computing. When using grid computing, different computers rarely have the same processor speeds. Thus the return order of results rarely matches the sending order. However order is vital when combining results to create a final image. Job-Scheduling is important in grid computing for volume rendering, so we use an obstacle-flag which changes priorities dynamically to manage sub-volume results. Obstacle-Flags manage visibility of each sub-volume when line of sight from the view point is obscured by other sub-volumes. The proposed Dynamic Job-Scheduling based on visibility substantially increases efficiency. Our Dynamic Job-Scheduling method was implemented on our university's campus grid and we conducted comparative experiments, which showed that the proposed method provides significant improvements in efficiency for large-scale volume rendering

眼球運動を考慮した眼底断面画像の位置合わせ手法

画像電子学会第246回研究会 発表資料 ; 開催地:山口大学 ; 開催日:2009年10月23

A method for accurate reconstruction of fundus volume data from radially cross-sectional images

MIRU 2007 第10回 画像の認識・理解シンポジウム ポスター資料 ; 開催場所 : 広島市立大学, 広島 ; 開催日時:2007年7月30日～8月1

A method for accurate reconstruction of fundus volume data from radially cross-sectional images

医学の分野において,眼病の早期発見および経過観察のために,眼底の3次元形状の詳細な観察が望まれている.本論文では,Optical Coherence Tomography (OCT)を用いて,放射状にスキャンされた複数枚の断面画像から,眼底ボリュームデータを高精度に構築する手法を提案する.すなわち,眼球の動きによる回転誤差を考慮して,スキャン時に生じるスキャン位置のずれを合わせる手法を開発した.この手法を用いて構築した眼底ボリュームデータに可視化処理を施すことにより,眼底表面形状とともに,眼底内部構造も観察が可能となり,医師の診断支援になることが期待される.In medicine, detail observation of a three-dimensional fundus shape is necessary for diagnosing eye-disease accurately and checking the treatment process. In the paper, we propose a method for accurate reconstruction fundus volume data from cross-sectional images scanned radially with an optical coherence tomography (OCT). We developed the method for correct deviation from positions of cross-sectional images taking into account errors caused by eye movement. Visualizing the fundus volume data generated by the proposed method, the fundus shape and the internal structures can be easily observed. The method is a promising technique for diagnosis of eye-disease