Lu et al., 2007 - Google Patents
Computing mammographic density from a multiple regression model constructed with image-acquisition parameters from a full-field digital mammographic unitLu et al., 2007
View PDF- Document ID
- 17430573368789656625
- Author
- Lu L
- Nishino T
- Khamapirad T
- Grady J
- Leonard Jr M
- Brunder D
- Publication year
- Publication venue
- Physics in Medicine & Biology
External Links
Snippet
Breast density (the percentage of fibroglandular tissue in the breast) has been suggested to be a useful surrogate marker for breast cancer risk. It is conventionally measured using screen–film mammographic images by a labor-intensive histogram segmentation method …
- 210000000481 Breast 0 abstract description 166
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/321—Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; 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
- G06T2207/30108—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0031—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for topological mapping of a higher dimensional structure on a lower dimensional surface
- G06T3/0037—Reshaping or unfolding a 3D tree structure onto a 2D plane
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Byng et al. | The quantitative analysis of mammographic densities | |
| Byng et al. | Automated analysis of mammographic densities | |
| Nishikawa | Current status and future directions of computer-aided diagnosis in mammography | |
| He et al. | A review on automatic mammographic density and parenchymal segmentation | |
| Yaffe | Mammographic density. Measurement of mammographic density | |
| Giger et al. | Computer-aided diagnosis | |
| Zheng et al. | Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment | |
| Wei et al. | Association of computerized mammographic parenchymal pattern measure with breast cancer risk: a pilot case-control study | |
| Tu et al. | Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening | |
| Chen et al. | Automatic segmentation and radiomic texture analysis for osteoporosis screening using chest low-dose computed tomography | |
| JP2004000609A (en) | Computer assisted diagnosis by multiple energy image | |
| Areeckal et al. | Early diagnosis of osteoporosis using radiogrammetry and texture analysis from hand and wrist radiographs in Indian population | |
| US7203350B2 (en) | Display for computer-aided diagnosis of mammograms | |
| US20130272595A1 (en) | Method for assessing breast density | |
| Llobet et al. | Semi-automated and fully automated mammographic density measurement and breast cancer risk prediction | |
| CN111247592B (en) | Systems and methods for quantifying tissue over time | |
| Malich et al. | CAD for mammography: the technique, results, current role and further developments | |
| US20170332992A1 (en) | Miniaturized Phantoms for Quantitative Image Analysis and Quality Control | |
| Damases et al. | Mammographic breast density assessment using automated volumetric software and breast imaging reporting and data system (BIRADS) categorization by expert radiologists | |
| Pertuz et al. | Clinical evaluation of a fully-automated parenchymal analysis software for breast cancer risk assessment: A pilot study in a Finnish sample | |
| US20110052025A1 (en) | System for imaging pathway verification | |
| Lu et al. | Computing mammographic density from a multiple regression model constructed with image-acquisition parameters from a full-field digital mammographic unit | |
| Sacchetto et al. | Mammographic density: comparison of visual assessment with fully automatic calculation on a multivendor dataset | |
| Oiwa et al. | Can quantitative evaluation of mammographic breast density,“volumetric measurement”, predict the masking risk with dense breast tissue? Investigation by comparison with subjective visual estimation by Japanese radiologists | |
| Balleyguier et al. | A new automated method to evaluate 2D mammographic breast density according to BI-RADS® Atlas Fifth Edition recommendations |