KR20020079742A - 고품질영상의 가시적 표시를 위한 상사치데이터의컨벌루젼필터링 - Google Patents
고품질영상의 가시적 표시를 위한 상사치데이터의컨벌루젼필터링 Download PDFInfo
- Publication number
- KR20020079742A KR20020079742A KR1020027006657A KR20027006657A KR20020079742A KR 20020079742 A KR20020079742 A KR 20020079742A KR 1020027006657 A KR1020027006657 A KR 1020027006657A KR 20027006657 A KR20027006657 A KR 20027006657A KR 20020079742 A KR20020079742 A KR 20020079742A
- Authority
- KR
- South Korea
- Prior art keywords
- data elements
- data
- similarity
- pixels
- adjacent
- Prior art date
Links
- 238000001914 filtration Methods 0.000 title description 15
- 230000000007 visual effect Effects 0.000 title description 4
- 238000000034 method Methods 0.000 claims description 48
- 238000012549 training Methods 0.000 claims description 41
- 238000012360 testing method Methods 0.000 claims description 23
- 239000003086 colorant Substances 0.000 claims description 7
- 238000001228 spectrum Methods 0.000 claims description 3
- 239000007787 solid Substances 0.000 claims 1
- 210000001519 tissue Anatomy 0.000 description 42
- 206010028980 Neoplasm Diseases 0.000 description 37
- 230000008520 organization Effects 0.000 description 10
- 201000011510 cancer Diseases 0.000 description 9
- 238000012545 processing Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 8
- 238000003745 diagnosis Methods 0.000 description 7
- 238000002595 magnetic resonance imaging Methods 0.000 description 7
- 230000000694 effects Effects 0.000 description 6
- 238000002372 labelling Methods 0.000 description 6
- 230000002159 abnormal effect Effects 0.000 description 5
- 238000004458 analytical method Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000003211 malignant effect Effects 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 238000012805 post-processing Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 210000004556 brain Anatomy 0.000 description 3
- 238000011282 treatment Methods 0.000 description 3
- 238000011887 Necropsy Methods 0.000 description 2
- 206010039491 Sarcoma Diseases 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 241000412611 Consul Species 0.000 description 1
- 238000012307 MRI technique Methods 0.000 description 1
- 206010027476 Metastases Diseases 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000002776 aggregation Effects 0.000 description 1
- 238000004220 aggregation Methods 0.000 description 1
- 238000011256 aggressive treatment Methods 0.000 description 1
- 210000000988 bone and bone Anatomy 0.000 description 1
- 235000021152 breakfast Nutrition 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 238000002591 computed tomography Methods 0.000 description 1
- 238000002059 diagnostic imaging Methods 0.000 description 1
- 230000004069 differentiation Effects 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000001939 inductive effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 210000001165 lymph node Anatomy 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000009401 metastasis Effects 0.000 description 1
- 210000003205 muscle Anatomy 0.000 description 1
- 230000001338 necrotic effect Effects 0.000 description 1
- 238000003909 pattern recognition Methods 0.000 description 1
- 238000002600 positron emission tomography Methods 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 210000000278 spinal cord Anatomy 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 238000011269 treatment regimen Methods 0.000 description 1
- 238000009966 trimming Methods 0.000 description 1
- 238000002604 ultrasonography Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/28—Quantising the image, e.g. histogram thresholding for discrimination between background and foreground patterns
-
- 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
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- 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
- G06T2207/20081—Training; Learning
-
- 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
- G06T2207/20092—Interactive image processing based on input by user
- G06T2207/20104—Interactive definition of region of interest [ROI]
-
- 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
- G06T2207/30096—Tumor; Lesion
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Magnetic Resonance Imaging Apparatus (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16741199P | 1999-11-24 | 1999-11-24 | |
| US60/167,411 | 1999-11-24 | ||
| PCT/US2000/032207 WO2001039122A1 (en) | 1999-11-24 | 2000-11-24 | Convolution filtering of similarity data for visual display of enhanced image |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20020079742A true KR20020079742A (ko) | 2002-10-19 |
Family
ID=22607283
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020027006657A KR20020079742A (ko) | 1999-11-24 | 2000-11-24 | 고품질영상의 가시적 표시를 위한 상사치데이터의컨벌루젼필터링 |
| KR1020027006616A KR20020077345A (ko) | 1999-11-24 | 2000-11-24 | 구분된 데이터 세트의 동적 문턱값 처리 및 유사도 이미지내의 유사도의 디스플레이 방법 |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020027006616A KR20020077345A (ko) | 1999-11-24 | 2000-11-24 | 구분된 데이터 세트의 동적 문턱값 처리 및 유사도 이미지내의 유사도의 디스플레이 방법 |
Country Status (7)
| Country | Link |
|---|---|
| EP (2) | EP1236176A1 (ja) |
| JP (2) | JP2003515828A (ja) |
| KR (2) | KR20020079742A (ja) |
| AU (2) | AU763459B2 (ja) |
| CA (2) | CA2391290A1 (ja) |
| NO (2) | NO20022447L (ja) |
| WO (2) | WO2001039122A1 (ja) |
Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| NO20020780D0 (no) * | 2002-02-15 | 2002-02-15 | Amersham Health As | Bildeanalyse |
| GB0226787D0 (en) * | 2002-11-18 | 2002-12-24 | Qinetiq Ltd | Measurement of mitotic activity |
| US7526115B2 (en) | 2004-02-23 | 2009-04-28 | Siemens Medical Solutions Usa, Inc. | System and method for toboggan based object segmentation using divergent gradient field response in images |
| US7440628B2 (en) * | 2004-08-31 | 2008-10-21 | Siemens Medical Solutions Usa, Inc. | Method and system for motion correction in a sequence of images |
| KR100643305B1 (ko) | 2005-02-14 | 2006-11-10 | 삼성전자주식회사 | 컨볼루션 커널을 이용한 라인 패턴 처리 방법 및 장치 |
| US10303717B2 (en) * | 2014-02-10 | 2019-05-28 | Nec Corporation | Search system, search method and program recording medium |
| WO2015150392A1 (en) * | 2014-04-03 | 2015-10-08 | Koninklijke Philips N.V. | Examining device for processing and analyzing an image |
| US10195445B2 (en) * | 2015-06-11 | 2019-02-05 | Cardiac Pacemakers, Inc. | Bent loop antenna for implantable medical devices |
| EP3646240A4 (en) | 2017-06-26 | 2021-03-17 | The Research Foundation for The State University of New York | SYSTEM, PROCEDURE AND COMPUTER-ACCESSIBLE MEDIUM FOR VIRTUAL PANCREATOGRAPHY |
| CN110956596B (zh) * | 2019-12-09 | 2023-08-29 | 深圳元华医疗设备技术有限公司 | 基于近红外成像的图像处理方法及终端 |
| CN116990298B (zh) * | 2023-09-28 | 2023-12-08 | 南通中奥车用新材料有限公司 | 一种用于人造革生产设备的成品质量评估系统 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5262945A (en) * | 1991-08-09 | 1993-11-16 | The United States Of America As Represented By The Department Of Health And Human Services | Method for quantification of brain volume from magnetic resonance images |
| US5311131A (en) * | 1992-05-15 | 1994-05-10 | Board Of Regents Of The University Of Washington | Magnetic resonance imaging using pattern recognition |
| JP3346679B2 (ja) * | 1994-06-14 | 2002-11-18 | 日本電信電話株式会社 | 画像検査／認識方法、これに用いる参照データ作成方法およびこれらの装置 |
-
2000
- 2000-11-24 EP EP00980739A patent/EP1236176A1/en not_active Withdrawn
- 2000-11-24 JP JP2001540715A patent/JP2003515828A/ja not_active Withdrawn
- 2000-11-24 KR KR1020027006657A patent/KR20020079742A/ko not_active Application Discontinuation
- 2000-11-24 CA CA002391290A patent/CA2391290A1/en not_active Abandoned
- 2000-11-24 WO PCT/US2000/032207 patent/WO2001039122A1/en not_active Application Discontinuation
- 2000-11-24 AU AU17960/01A patent/AU763459B2/en not_active Ceased
- 2000-11-24 WO PCT/US2000/032204 patent/WO2001039123A1/en not_active Application Discontinuation
- 2000-11-24 KR KR1020027006616A patent/KR20020077345A/ko not_active Application Discontinuation
- 2000-11-24 EP EP00983756A patent/EP1236178A1/en not_active Withdrawn
- 2000-11-24 JP JP2001540714A patent/JP2003515368A/ja not_active Withdrawn
- 2000-11-24 CA CA002391289A patent/CA2391289A1/en not_active Abandoned
- 2000-11-24 AU AU20469/01A patent/AU763454B2/en not_active Ceased
-
2002
- 2002-05-23 NO NO20022447A patent/NO20022447L/no not_active Application Discontinuation
- 2002-05-23 NO NO20022448A patent/NO20022448L/no not_active Application Discontinuation
Also Published As
| Publication number | Publication date |
|---|---|
| AU763459B2 (en) | 2003-07-24 |
| WO2001039123A1 (en) | 2001-05-31 |
| CA2391289A1 (en) | 2001-05-31 |
| AU1796001A (en) | 2001-06-04 |
| NO20022448D0 (no) | 2002-05-23 |
| EP1236176A1 (en) | 2002-09-04 |
| AU2046901A (en) | 2001-06-04 |
| NO20022447L (no) | 2002-07-22 |
| CA2391290A1 (en) | 2001-05-31 |
| EP1236178A1 (en) | 2002-09-04 |
| JP2003515368A (ja) | 2003-05-07 |
| NO20022447D0 (no) | 2002-05-23 |
| KR20020077345A (ko) | 2002-10-11 |
| WO2001039122A1 (en) | 2001-05-31 |
| AU763454B2 (en) | 2003-07-24 |
| JP2003515828A (ja) | 2003-05-07 |
| NO20022448L (no) | 2002-07-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Krishnakumar et al. | RETRACTED ARTICLE: Effective segmentation and classification of brain tumor using rough K means algorithm and multi kernel SVM in MR images | |
| US11250569B2 (en) | Systems and methods for functional imaging follow-up evaluation using deep neural network | |
| NL2010613C2 (en) | Systems, apparatus and processes for automated medical image segmentation using a statistical model field of the disclosure. | |
| US6674880B1 (en) | Convolution filtering of similarity data for visual display of enhanced image | |
| US4945478A (en) | Noninvasive medical imaging system and method for the identification and 3-D display of atherosclerosis and the like | |
| US7483919B2 (en) | Object based image retrieval | |
| US7136516B2 (en) | Method and system for segmenting magnetic resonance images | |
| JP2019537180A (ja) | 腫瘍および／または健常組織の非侵襲的検出方法およびハイパースペクトルイメージング装置 | |
| WO2016060557A1 (en) | Image analysis method supporting illness development prediction for a neoplasm in a human or animal body | |
| KR20180022607A (ko) | 다양한 측정으로부터의 의료 측정 데이터에 기초한 결과 데이터의 결정 | |
| Rahman et al. | Developing a retrieval based diagnostic aid for automated melanoma recognition of dermoscopic images | |
| KR20020079742A (ko) | 고품질영상의 가시적 표시를 위한 상사치데이터의컨벌루젼필터링 | |
| Patel et al. | Medical image enhancement using histogram processing and feature extraction for cancer classification | |
| Armya et al. | Medical images segmentation based on unsupervised algorithms: a review | |
| ALOUPOGIANNI et al. | Binary malignancy classification of skin tissue using reflectance and texture features from macropathology multi-spectral images | |
| Saalbach et al. | On the application of (topographic) independent and tree-dependent component analysis for the examination of DCE-MRI data | |
| Liu et al. | Automatic liver segmentation using U-net in the assistance of CNN | |
| Obrestad | Prostate Lesion Detection on Apparent Diffusion Coefficient MRI based on Convolutional Neural Networks | |
| Wang et al. | Examination of Medical Microscopic Image Classification Algorithm and Its Application in the Evaluation of Coronary Artery Atherosclerosis Plaque. | |
| Dehankar et al. | Nails Deformation Sensing For Disease Detection Using Fusion Method For Texture Analysis | |
| Li et al. | Research on Lung Tumor Cell Image Processing and Identification | |
| Ganesh et al. | Multi class robust brain tumor with hybrid classification using DTA algorithm | |
| Müller | MRI Data | |
| Müller | Nephroblastoma in MRI Data | |
| SHAREEF et al. | Improving Cervical Cancer Classification on MRI using Learning Machine Approach and Fuzzy Segmentation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| WITN | Application deemed withdrawn, e.g. because no request for examination was filed or no examination fee was paid |