Fallah et al., 2017 - Google Patents
Automatic atlas-guided constrained random walker algorithm for 3D segmentation of muscles on water magnetic resonance imagesFallah et al., 2017
View PDF- Document ID
- 11217550319715022646
- Author
- Fallah F
- Yang B
- Bamberg F
- Publication year
- Publication venue
- 2017 25th European Signal Processing Conference (EUSIPCO)
External Links
Snippet
Automatic segmentation of distinct muscles is a crucial step for quantitative analysis of muscle's tissue properties. Magnetic resonance (MR) imaging provides a superior soft tissue contrast and noninvasive means for assessing muscular characteristics. However, automatic …
- 210000003205 Muscles 0 title abstract description 81
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
- 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; 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
- G06T2207/10104—Positron emission tomography [PET]
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- 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
- G06T2207/10024—Color image
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
- G06T5/007—Dynamic range modification
- G06T5/008—Local, e.g. shadow enhancement
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kumar et al. | U-segnet: fully convolutional neural network based automated brain tissue segmentation tool | |
US20240221162A1 (en) | Three dimensional object segmentation of medical images localized with object detection | |
US9968257B1 (en) | Volumetric quantification of cardiovascular structures from medical imaging | |
Torres et al. | Kidney segmentation in ultrasound, magnetic resonance and computed tomography images: A systematic review | |
US7876938B2 (en) | System and method for whole body landmark detection, segmentation and change quantification in digital images | |
US10593035B2 (en) | Image-based automated measurement model to predict pelvic organ prolapse | |
Kang et al. | Heart chambers and whole heart segmentation techniques | |
Wang et al. | Principles and methods for automatic and semi-automatic tissue segmentation in MRI data | |
US20100260396A1 (en) | integrated segmentation and classification approach applied to medical applications analysis | |
Yang et al. | Renal compartment segmentation in DCE-MRI images | |
WO2017096407A1 (en) | Systems and methods for analyzing pathologies utilizing quantitative imaging | |
Coupé et al. | Nonlocal patch-based label fusion for hippocampus segmentation | |
WO2019182520A1 (en) | Method and system of segmenting image of abdomen of human into image segments corresponding to fat compartments | |
US20210068676A1 (en) | Method and system for automatically generating and analyzing fully quantitative pixel-wise myocardial blood flow and myocardial perfusion reserve maps to detect ischemic heart disease using cardiac perfusion magnetic resonance imaging | |
Guo et al. | Globally optimal co-segmentation of three-dimensional pulmonary 1H and hyperpolarized 3He MRI with spatial consistence prior | |
Tong et al. | Segmentation of brain MR images via sparse patch representation | |
Kaur et al. | A survey of kidney segmentation techniques in CT images | |
Barbieri et al. | DTI segmentation via the combined analysis of connectivity maps and tensor distances | |
Fallah et al. | Automatic atlas-guided constrained random walker algorithm for 3D segmentation of muscles on water magnetic resonance images | |
Gloger et al. | Automatic gallbladder segmentation using combined 2D and 3D shape features to perform volumetric analysis in native and secretin-enhanced MRCP sequences | |
Feulner et al. | Lymph node detection in 3-D chest CT using a spatial prior probability | |
Maes et al. | Quantification of cerebral grey and white matter asymmetry from MRI | |
Ivanovska et al. | Lung segmentation of MR images: A review | |
Chevaillier et al. | Functional segmentation of renal DCE-MRI sequences using vector quantization algorithms | |
Wang et al. | A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions |