研究者詳細 - 神谷　亨

論文 - 神谷　亨

分割表示757 件中 501 - 520 件目／全件表示 >>

Automatic Detection of Phalangeal Region on CR Images Using Active Contour Model 査読有り

Yamakawa, Murakami, Kim, Tan, Ishikawa, Aoki

International Symposim on Advanced Intelligent Systems 362 - 365 2011年09月

Detection of Calcification on Carotid Artery in Dental CT Image 査読有り

Shimizu, Kim, Tan, Ishikawa, Tanaka, Kitou, Morimoto

International Symposim on Advanced Intelligent Systems 358 - 361 2011年09月

Segmentation Method for Mandibular Region in Dental CT Images Using MPR Image Information 査読有り

Kuroki, Kim, Tan, Ishikawa, Tanaka, Kitou, Morimoto

International Symposim on Advanced Intelligent Systems 63 - 66 2011年09月

Detection of Artery Regions on Fresh Blood Imaging Using Particle Filter Algorithms 査読有り

Koga, Yamamoto, Kim, Tan, Ishikawa

International Symposim on Advanced Intelligent Systems 59 - 62 2011年09月

A Method for Image Registration on Head CT and MR Image by Using Real-coded Genetic Algorithm 査読有り

Hayata, Yamamura, Kim, Tan, Ishikawa, Yamamoto

International Symposim on Advanced Intelligent Systems 55 - 58 2011年09月

Automatic Detection Method for Candidate Regions of Lung Nodule from the Temporal Subtraction Images 査読有り

Tokisa, Miyake, Maeda, Kim, Tan, Ishikawa, Murakami, Aoki

International Symposim on Advanced Intelligent Systems 51 - 54 2011年09月

Automatic Segmentation Method of Internal Organ Regions Using Graph Cuts 査読有り

Tani, Li, Kim, Tan, Ishikawa, Yamamoto

International Symposim on Advanced Intelligent Systems 47 - 50 2011年09月

Mulple persons’ recognition by fast human detection 査読有り

Efackhar, Tan, Kim, Ishikawa

SICE Annual Conference 2011 1639 - 1644 2011年09月

Detection of lung nodules in thoracic MDCT images based on temporal changes from previous and current images 査読有り

Maeda S., Tomiyama Y., Kim H., Miyake N., Itai Y., Kooi Tan J., Ishikawa S., Yamamoto A.

Journal of Advanced Computational Intelligence and Intelligent Informatics 15 ( 6 ) 707 - 713 2011年08月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）

Temporal subtraction enhances temporal change by subtracting images captured at different times. Medical images captured currently (current images) and in previous examination (previous images) are subtracted to enhance new lesions and temporal change in existing lesion shadows. Temporal subtraction using chest MultiDetector-Row Computed Tomography (MDCT) images and currently being developed is to be applied to nodule detection in pulmonary regions. Nodule detection using conventional temporal subtraction, however, yields many false-positive results for those 20 mm or less in diameter, requiring improvement. We discuss improvements in nodule detection accuracy using temporal subtraction, first extracting rough nodules from temporal subtraction images as candidate shadows. Features are then acquired from current, previous, and temporal subtraction images. We use intensity features in previous images and shape features in the current images and in features used in conventional methods. Using acquired features, we build a neural network classifier, then extract final pulmonary candidates in unknown shadows.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80051941017&origin=inward

胸部CT画像のための経時的差分像生成法と臨床用アプリケーションの開発査読有り

金、三宅、前田、タン、石川、村上、青木

CT検診 18 ( 2 ) 107 - 113 2011年08月

オトガイ孔の位置情報とヘッセ行列を用いた歯科CT画像からの下顎管領域の抽出査読有り

黒木，三戸，金，タン，石川，田中，鬼頭，森本

バイオメディカル・ファジィ・システム学会誌 13 ( 1 ) 109 - 112 2011年06月

過去・現在の胸部MDCT像セットを用いた経時的差分像技術の開発査読有り

三宅，金，前田,タン，石川，村上，青木，山本

バイオメディカル・ファジィ・システム学会誌 13 ( 1 ) 73 - 80 2011年06月

Reduction of processing times for temporal subtraction on lung CT image employing octree algorithms 査読有り

Maeda S., Kim H., Itai Y., Tan J., Ishikawa S., Yamamoto A.

International Journal of Innovative Computing, Information and Control 7 ( 5 B ) 2603 - 2610 2011年05月

記述言語：英語掲載種別：研究論文（学術雑誌）

The temporal subtraction image, which can be obtained by subtracting previous image from current one, is useful for visual screening in clinical field. The temporal subtraction technique removes normal structures, e.g., blood vessel. Hence, it can enhance interval changes such as the new lesions and the changes of existing abnormalities on medical images. Recently, several temporal subtraction methods have been proposed for thoracic medical images. In temporal subtraction, image registration technique is required for correcting displacement between current image and previous one. However, efficient image registration technique of temporal subtraction for MDCT (Multi Detector-row CT) has not been proposed because of the complication of deformation in 3 dimensional region. In this paper, we propose a new efficient computer aided diagnosis (CAD) algorithms for detection of lung nodules which are obtained by temporal subtraction for thoracic MDCT images. We have tried to reduce the computational time for the temporal subtraction image by use of octree algorithms on 3-dimensional image space. To evaluate our method, we have applied the method to 4 MDCT dataset and confirmed its efficiency. © 2011.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79956078276&origin=inward

Reduction of processing times for temporal subtraction on lung CT image employing octree algorithms 査読有り

Maeda, Kim, Itai, Tan, Ishikawa, Yamamoto

Intl. Journal of Innovative Computing, Information and Control 7 ( 5(B) ) 2603 - 2610 2011年05月

テクスチャ解析を用いた頚椎側面画像におけるモーションアーチファクト検出のための定量的手法の開発

村上、金、タン、石川

北九州医工学術者協会論文誌 21 3 - 6 2011年04月

3次元胸部CT像からの経時的差分像の生成法と解析用GUIの開発

三宅, 金，前田，タン，石川，村上，青木，桂川，白石

北九州医工学術者協会論文誌 21 22 - 25 2011年04月

SURF-based Spatio-Temporal History Image Method for Action Representation 査読有り

Md. Atiqur Rahman Ahad, J.K. Tan, H. Kim, S. Ishikawa

IEEE International Conference on Industrial Technology 397 - 402 2011年03月

Registration of head ct and mr image sets based on optimal retrieval of volume of interests 査読有り

Yamamura Y., Harada K., Kim H., Kooi Tan J., Ishikawa S., Yamamoto A., Yamamoto A.

ICIC Express Letters, Part B: Applications 2 ( 1 ) 101 - 106 2011年02月

記述言語：英語掲載種別：研究論文（学術雑誌）

Image registration is one of the important techniques for diagnosis or treat- ment using medical images. Especially, it is very efficient to detect abnormalities by comparing two or more images. The images, which are provided from multi modalities or taken several different times, are used for diagnosis. One of the multi modal images is CT and MR imaging of the head for diagnosis and surgical planning indicates that physicians and surgeons gain important information from these modalities. In general, to simulate before the surgical operation, manual registration techniques are mainly per- formed on MR and CT images of the head. However, manual registration of the object may require several hours for analysis based on anatomical knowledge. In this paper, we describe a new method for image registration technique of head images obtained from CT and MRI. Our new method uses an optimal retrieval on neighbor volumes of interest (VOIs) and maximization of mutual information. This method also can reduce the pro-cessing time without decreasing the registration accuracy. © 2011 ISSN 2185-2766.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79251503899&origin=inward

Registration of head CT and MR image sets based on optimal retrieval of volume of interests 査読有り

Yamamura,Harada,Kim,Tan,Ishikawa,Yamamoto

ICICIC Express Letters Part B: Applications 2 ( 1 ) 101 - 106 2011年02月

A Method for Reduction of Subtraction Artifacts on Temporal Subtraction Images by Use of Generalized Gradient Vector Flow Technique 査読有り

Kim,Miyake,Tan,Ishikawa,Murakami,Aoki

Joint Meeting combining The 3rd meeting of Japanese Society of Pulmonary Functional Imaging and 5th International Workshop for Pulmonary Functional Imaging 162 - 162 2011年01月

　前のページ - 次のページ　

<神谷 亨>

論文 - 神谷 亨

<神谷　亨>

論文 - 神谷　亨