JP6469838B2 - 生物組織の3次元ボリュームを表す画像データを分析する方法 - Google Patents
生物組織の3次元ボリュームを表す画像データを分析する方法 Download PDFInfo
- Publication number
- JP6469838B2 JP6469838B2 JP2017504211A JP2017504211A JP6469838B2 JP 6469838 B2 JP6469838 B2 JP 6469838B2 JP 2017504211 A JP2017504211 A JP 2017504211A JP 2017504211 A JP2017504211 A JP 2017504211A JP 6469838 B2 JP6469838 B2 JP 6469838B2
- Authority
- JP
- Japan
- Prior art keywords
- subvolume
- image data
- growth
- predetermined direction
- image
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims description 44
- 239000011159 matrix material Substances 0.000 claims description 41
- 238000012014 optical coherence tomography Methods 0.000 claims description 25
- 230000002207 retinal effect Effects 0.000 claims description 20
- 230000006870 function Effects 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 7
- 238000010801 machine learning Methods 0.000 claims description 7
- 238000012937 correction Methods 0.000 claims description 4
- 238000012706 support-vector machine Methods 0.000 claims description 2
- 210000001519 tissue Anatomy 0.000 description 40
- 238000004458 analytical method Methods 0.000 description 7
- 210000001525 retina Anatomy 0.000 description 7
- 238000003384 imaging method Methods 0.000 description 6
- 238000010606 normalization Methods 0.000 description 6
- 238000011282 treatment Methods 0.000 description 6
- 238000002347 injection Methods 0.000 description 5
- 239000007924 injection Substances 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 238000007781 pre-processing Methods 0.000 description 4
- 201000004569 Blindness Diseases 0.000 description 3
- 210000003161 choroid Anatomy 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 208000002780 macular degeneration Diseases 0.000 description 3
- 239000012528 membrane Substances 0.000 description 3
- 206010038848 Retinal detachment Diseases 0.000 description 2
- 206010064930 age-related macular degeneration Diseases 0.000 description 2
- 238000013459 approach Methods 0.000 description 2
- 238000013145 classification model Methods 0.000 description 2
- 238000010191 image analysis Methods 0.000 description 2
- 229940090044 injection Drugs 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000002595 magnetic resonance imaging Methods 0.000 description 2
- 238000012423 maintenance Methods 0.000 description 2
- 230000004660 morphological change Effects 0.000 description 2
- 229960003876 ranibizumab Drugs 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000003595 spectral effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 208000031124 Dementia Alzheimer type Diseases 0.000 description 1
- 206010025421 Macule Diseases 0.000 description 1
- 201000010183 Papilledema Diseases 0.000 description 1
- 208000032444 Retinal cyst Diseases 0.000 description 1
- 206010038886 Retinal oedema Diseases 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 210000003484 anatomy Anatomy 0.000 description 1
- 229940121369 angiogenesis inhibitor Drugs 0.000 description 1
- 239000004037 angiogenesis inhibitor Substances 0.000 description 1
- 238000002583 angiography Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
- 238000002790 cross-validation Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 230000003292 diminished effect Effects 0.000 description 1
- 230000004064 dysfunction Effects 0.000 description 1
- 210000000981 epithelium Anatomy 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 239000012530 fluid Substances 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 229940076783 lucentis Drugs 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000002085 persistent effect Effects 0.000 description 1
- 239000000049 pigment Substances 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 229940011279 ranibizumab injection Drugs 0.000 description 1
- 201000011195 retinal edema Diseases 0.000 description 1
- 238000011268 retreatment Methods 0.000 description 1
- 238000002864 sequence alignment Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 210000002301 subretinal fluid Anatomy 0.000 description 1
- 230000008728 vascular permeability Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- 230000004393 visual impairment Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
- G06T7/0014—Biomedical image inspection using an image reference approach
- G06T7/0016—Biomedical image inspection using an image reference approach involving temporal comparison
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/0016—Operational features thereof
- A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/102—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for optical coherence tomography [OCT]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
- A61B3/1225—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes using coherent radiation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/008—Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/18—Image warping, e.g. rearranging pixels individually
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10101—Optical tomography; Optical coherence tomography [OCT]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20076—Probabilistic image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30041—Eye; Retina; Ophthalmic
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Molecular Biology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- Surgery (AREA)
- Heart & Thoracic Surgery (AREA)
- Biomedical Technology (AREA)
- Ophthalmology & Optometry (AREA)
- Biophysics (AREA)
- Quality & Reliability (AREA)
- Geometry (AREA)
- Data Mining & Analysis (AREA)
- Signal Processing (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Eye Examination Apparatus (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
Description
a)局所的成長の評点の和、
b)局所的成長の評点の2乗和、
c)Moran’s I、及び、
d)Geary’s C
の4つの量によって構成される。
図面を用いて以下に各実施形態を説明する。
Claims (14)
- 生物組織の3次元ボリュームを表す画像データを分析する方法であって、
前記画像データは、第1の時点でのボリュームを表す第1の画像と、前記第1の時点とは異なる第2の時点でのボリュームを表す第2の画像と、を含み、
前記方法は、
a)予め定められた方向に主延長部を有する前記第1の画像が表す前記ボリュームの第1のサブボリュームと、前記予め定められた方向に主延長部を有する前記第2の画像が表す前記ボリュームの第2のサブボリュームと、を識別するステップであって、ただし、前記第1のサブボリュームと前記第2のサブボリュームとが前記3次元ボリュームの同一の領域を表すステップと、
b)前記予め定められた方向の前記第1のサブボリュームの一連のボクセルの画像データと前記予め定められた方向の前記第2のサブボリュームの一連のボクセルの画像データとから、距離マトリクスを形成するステップと、
c)前記予め定められた方向に沿って、前記第1のサブボリューム及び前記第2のサブボリュームが表す前記生物組織の層の成長確率に対する少なくとも1つの局所的尺度を取得するために、前記距離マトリクスを分析するステップと、
を含む方法。 - 前記距離マトリクスを分析するステップは、前記距離マトリクスによって与えられる距離の和が、前記距離マトリクスの予め定められた始点を予め定められた終点に接続する経路に沿って最小となるよう、前記経路に対応するワーピング関数を取得するサブステップを含む、
請求項1記載の方法。 - 前記距離マトリクスを分析するステップは、前記経路を基準経路と比較するさらなるサブステップを含み、
前記成長確率に対する前記局所的尺度は、前記経路と前記基準経路との間の全体差に対応する、
請求項2記載の方法。 - 前記成長確率に対する前記局所的尺度は、前記経路及び前記基準経路によって画定される領域の寸法に比例する、
請求項3記載の方法。 - 前記予め定められた方向に対して垂直な平面の所定位置に依存する前記成長確率に対する前記局所的尺度によって構成される成長マップを取得する、
請求項1から4までのいずれか1項記載の方法。 - 前記予め定められた方向に沿って、前記第1の画像及び前記第2の画像が表す前記生物組織の層の成長確率に対する大域的尺度を、機械学習アルゴリズムを前記成長マップに適用することにより取得する、
請求項5記載の方法。 - 前記成長マップから大域的成長特徴ベクトルを抽出し、サポートベクタマシンアルゴリズムを前記大域的成長特徴ベクトルに適用して大域的成長確率をクラス分類するステップを含む、
請求項6記載の方法。 - 前記大域的成長特徴ベクトルは、前記局所的尺度の少なくとも1つの平均と、前記局所的尺度の空間的自動補正の少なくとも1つの尺度と、を含む、
請求項7記載の方法。 - 前記第1のサブボリュームは、前記予め定められた方向に対して垂直な少なくとも1つの方向に、前記第2のサブボリュームの前記少なくとも1つの方向の延長部よりも大きな延長部を有し、
前記距離マトリクスは、前記第2のサブボリュームの、前記予め定められた方向に沿った所定位置に関する第1の次元と、前記第1のサブボリュームの、前記予め定められた方向及び前記予め定められた方向に対して垂直な前記少なくとも1つの方向に沿った所定位置に関する別の少なくとも2つの次元と、を含む、少なくとも3つの次元である、
請求項1から8までのいずれか1項記載の方法。 - 前記距離マトリクスを形成する前に、前記第1のサブボリューム及び前記第2のサブボリュームに関する画像データの輝度を正規化する、
請求項1から9までのいずれか1項記載の方法。 - 前記距離マトリクスを、前記予め定められた方向の前記第1のサブボリュームの一連のボクセルの画像データの輝度の局所的勾配と前記第2のサブボリュームの一連のボクセルの画像データの輝度の局所的勾配とに基づいて形成する、
請求項1から10までのいずれか1項記載の方法。 - 前記画像データは、光コヒーレンストモグラフィ画像データである、
請求項1から11までのいずれか1項記載の方法。 - 前記生物組織は、ヒトもしくは哺乳動物の網膜組織である、
請求項1から12までのいずれか1項記載の方法。 - 生物組織の3次元ボリュームを表す画像データを分析するためのコンピュータプログラムであって、
前記コンピュータプログラムは、コンピュータ上で実行される際に、請求項1から13までのいずれか1項記載の各ステップを実行するのに適したコンピュータプログラムコードを含む、
コンピュータプログラム。
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CH534/14 | 2014-04-07 | ||
CH5342014 | 2014-04-07 | ||
PCT/CH2015/000048 WO2015154199A1 (en) | 2014-04-07 | 2015-03-30 | Method for the analysis of image data representing a three-dimensional volume of biological tissue |
Publications (2)
Publication Number | Publication Date |
---|---|
JP2017512626A JP2017512626A (ja) | 2017-05-25 |
JP6469838B2 true JP6469838B2 (ja) | 2019-02-13 |
Family
ID=52991394
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2017504211A Expired - Fee Related JP6469838B2 (ja) | 2014-04-07 | 2015-03-30 | 生物組織の3次元ボリュームを表す画像データを分析する方法 |
Country Status (7)
Country | Link |
---|---|
US (1) | US10083507B2 (ja) |
EP (1) | EP3129956B1 (ja) |
JP (1) | JP6469838B2 (ja) |
CN (1) | CN106415661B (ja) |
AU (1) | AU2015245908B2 (ja) |
CA (1) | CA2945092A1 (ja) |
WO (1) | WO2015154199A1 (ja) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10142972B2 (en) * | 2015-04-27 | 2018-11-27 | Qualcomm Incorporated | Methods and apparatus for multiple user uplink response rules |
GB2576139A (en) * | 2018-07-20 | 2020-02-12 | Ophthalmic Surgical Services Ltd | Ocular assessment |
Family Cites Families (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6640124B2 (en) * | 1998-01-30 | 2003-10-28 | The Schepens Eye Research Institute | Imaging apparatus and methods for near simultaneous observation of directly scattered light and multiply scattered light |
US7042219B2 (en) * | 2004-08-12 | 2006-05-09 | Esaote S.P.A. | Method for determining the condition of an object by magnetic resonance imaging |
US7483572B2 (en) * | 2004-08-25 | 2009-01-27 | Mitsubishi Electric Research Laboratories, Inc. | Recovering a non-linear warping function from images |
US20070057211A1 (en) | 2005-05-25 | 2007-03-15 | Karsten Bahlman | Multifocal imaging systems and method |
US8199994B2 (en) | 2009-03-13 | 2012-06-12 | International Business Machines Corporation | Automatic analysis of cardiac M-mode views |
US8332016B2 (en) * | 2009-08-04 | 2012-12-11 | Carl Zeiss Meditec, Inc. | Non-linear projections of 3-D medical imaging data |
US20110081055A1 (en) | 2009-10-02 | 2011-04-07 | Harris Corporation, Corporation Of The State Of Delaware | Medical image analysis system using n-way belief propagation for anatomical images subject to deformation and related methods |
JP5733962B2 (ja) | 2010-02-17 | 2015-06-10 | キヤノン株式会社 | 眼科装置、眼科装置の制御方法、及びプログラム |
JP5631032B2 (ja) * | 2010-03-19 | 2014-11-26 | キヤノン株式会社 | 画像処理装置、画像処理システム、画像処理方法、及び画像処理をコンピュータに実行させるためのプログラム |
US8712505B2 (en) | 2010-11-11 | 2014-04-29 | University Of Pittsburgh-Of The Commonwealth System Of Higher Education | Automated macular pathology diagnosis in three-dimensional (3D) spectral domain optical coherence tomography (SD-OCT) images |
CA2817963A1 (en) * | 2010-11-17 | 2012-05-24 | Optovue, Inc. | 3d retinal disruptions detection using optical coherence tomography |
WO2012126070A1 (en) | 2011-03-24 | 2012-09-27 | Katholieke Universiteit Leuven | Automatic volumetric analysis and 3d registration of cross sectional oct images of a stent in a body vessel |
CA2844433A1 (en) * | 2011-08-09 | 2013-02-14 | Optovue, Inc. | Motion correction and normalization of features in optical coherence tomography |
US9877646B2 (en) * | 2011-10-11 | 2018-01-30 | Carl Zeiss Meditec, Inc. | Assessment of retinal disruption |
-
2015
- 2015-03-30 WO PCT/CH2015/000048 patent/WO2015154199A1/en active Application Filing
- 2015-03-30 JP JP2017504211A patent/JP6469838B2/ja not_active Expired - Fee Related
- 2015-03-30 US US15/302,407 patent/US10083507B2/en not_active Expired - Fee Related
- 2015-03-30 CA CA2945092A patent/CA2945092A1/en not_active Abandoned
- 2015-03-30 EP EP15717402.0A patent/EP3129956B1/en active Active
- 2015-03-30 CN CN201580030332.7A patent/CN106415661B/zh not_active Expired - Fee Related
- 2015-03-30 AU AU2015245908A patent/AU2015245908B2/en not_active Ceased
Also Published As
Publication number | Publication date |
---|---|
US10083507B2 (en) | 2018-09-25 |
EP3129956A1 (en) | 2017-02-15 |
AU2015245908B2 (en) | 2019-04-11 |
WO2015154199A1 (en) | 2015-10-15 |
CA2945092A1 (en) | 2015-10-15 |
AU2015245908A1 (en) | 2016-10-27 |
JP2017512626A (ja) | 2017-05-25 |
US20170032525A1 (en) | 2017-02-02 |
EP3129956B1 (en) | 2020-01-01 |
CN106415661B (zh) | 2019-08-09 |
CN106415661A (zh) | 2017-02-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109493954B (zh) | 一种基于类别判别定位的sd-oct图像视网膜病变检测系统 | |
Abràmoff et al. | Retinal imaging and image analysis | |
Hassan et al. | Automated retinal edema detection from fundus and optical coherence tomography scans | |
AU2021202217B2 (en) | Methods and systems for ocular imaging, diagnosis and prognosis | |
Nyúl | Retinal image analysis for automated glaucoma risk evaluation | |
EP3724848A1 (en) | Image processing method for glaucoma detection and computer program products thereof | |
US10573007B2 (en) | Image processing apparatus, image processing method, and image processing program | |
Odstrčilík et al. | Retinal nerve fiber layer analysis via markov random fields texture modelling | |
JP6469838B2 (ja) | 生物組織の3次元ボリュームを表す画像データを分析する方法 | |
EP3129955B1 (en) | Method for the analysis of image data representing a three-dimensional volume of biological tissue | |
de Sisternes et al. | A machine learning approach for device-independent automated segmentation of retinal cysts in spectral domain optical coherence tomography images | |
Golabbakhsh et al. | Detection and registration of vessels of fundus and OCT images using curevelet analysis | |
Wong et al. | Lee | |
US20180240240A1 (en) | Image processing apparatus, image processing method, and image processing program | |
US12051196B2 (en) | Methods and systems for ocular imaging, diagnosis and prognosis | |
Wu et al. | Automated vessel shadow segmentation of fovea-centered spectral-domain images from multiple OCT devices | |
BS | Eminent Identification And Segmentation Of Optic Disk In Digital Fundus Images Using Marr-Hildreth Operator | |
Manoj et al. | A Novel Strategy to Segment the Retinal Layers using Convolutional Neural Network | |
Joshi et al. | Localization of optic disc in color fundus images | |
Prentašic et al. | Ensemble Based Optic Disc Detection Method | |
Prentašić et al. | Ensemble based optic disc detection method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20180323 |
|
TRDD | Decision of grant or rejection written | ||
A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20181114 |
|
A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20181126 |
|
A601 | Written request for extension of time |
Free format text: JAPANESE INTERMEDIATE CODE: A601 Effective date: 20181225 |
|
A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20190116 |
|
R150 | Certificate of patent or registration of utility model |
Ref document number: 6469838 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
LAPS | Cancellation because of no payment of annual fees |