Wei et al., 2014 - Google Patents
A hybrid approach to segmentation of diseased lung lobesWei et al., 2014
- Document ID
- 15876390943814918873
- Author
- Wei Q
- Hu Y
- Publication year
- Publication venue
- IEEE journal of biomedical and health informatics
External Links
Snippet
Complete segmentation of diseased lung lobes by automatically identifying fissure surfaces is a nontrivial task, due to incomplete, disrupted, and deformed fissures. In this paper, we present a novel algorithm employing a hybrid two-dimensional/three-dimensional approach …
- 210000004072 Lung 0 title abstract description 105
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
- G06T2207/10072—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
- G06T2207/20—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
- G06T2207/10116—X-ray 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
- G06T2207/20076—Probabilistic image processing
-
- 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
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K2209/05—Recognition of patterns in medical or anatomical images
- G06K2209/051—Recognition of patterns in medical or anatomical images of internal organs
-
- 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
-
- 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 |
---|---|---|
Mansoor et al. | A generic approach to pathological lung segmentation | |
Sluimer et al. | Toward automated segmentation of the pathological lung in CT | |
Rossi et al. | Combination of low level processing and active contour techniques for semi-automated volumetric lung lesion segmentation from thoracic CT images | |
Kumar et al. | Automatic liver and lesion segmentation: a primary step in diagnosis of liver diseases | |
Wei et al. | Segmentation of lung lobes in high-resolution isotropic CT images | |
Mukherjee et al. | Lung nodule segmentation using deep learned prior based graph cut | |
Pulagam et al. | Automated lung segmentation from HRCT scans with diffuse parenchymal lung diseases | |
Shariaty et al. | Automatic lung segmentation method in computed tomography scans | |
US9675317B2 (en) | Interface identification apparatus and method | |
Wei et al. | A hybrid approach to segmentation of diseased lung lobes | |
Memon et al. | Segmentation of lungs from CT scan images for early diagnosis of lung cancer | |
Shariaty et al. | Texture appearance model, a new model-based segmentation paradigm, application on the segmentation of lung nodule in the CT scan of the chest | |
JP2017510406A (en) | Suppression of blood vessel structure in image | |
Qi et al. | Automatic pulmonary fissure detection and lobe segmentation in CT chest images | |
Shariaty et al. | Automatic lung segmentation in computed tomography images using active shape model | |
Rafiei et al. | Liver segmentation in abdominal CT images using probabilistic atlas and adaptive 3D region growing | |
Nadeem et al. | Corresponding supine and prone colon visualization using eigenfunction analysis and fold modeling | |
Weinheimer et al. | Automatic lung segmentation in MDCT images | |
Özsavaş et al. | Automatic segmentation of anatomical structures from CT scans of thorax for RTP | |
Silva et al. | Algorithm versus physicians variability evaluation in the cardiac chambers extraction | |
Zhang et al. | Pathological airway segmentation with cascaded neural networks for bronchoscopic navigation | |
Dandin et al. | Automated segmentation of the injured spleen | |
Wei et al. | Automatic recognition of major fissures in human lungs | |
Karami et al. | Anatomy-based algorithm for automatic segmentation of human diaphragm in noncontrast computed tomography images | |
Shaziya et al. | Comprehensive review of automatic lung segmentation techniques on pulmonary CT images |