Wang et al., 1997 - Google Patents
Statistical modeling and visualization of localized prostate cancerWang et al., 1997
- Document ID
- 540888035124059439
- Author
- Wang Y
- Xuan J
- Sesterhenn I
- Hayes W
- Ebert D
- Lynch J
- Mun S
- Publication year
- Publication venue
- Medical Imaging 1997: Image Display
External Links
Snippet
In this paper, a statistically significant master model of localized prostate cancer is developed with pathologically-proven surgical specimens to spatially guide specific points in the biopsy technique for a higher rate of prostate cancer detection and the best possible …
- 206010060862 Prostate cancer 0 title abstract description 41
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
- G06T2207/10084—Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
-
- 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
-
- 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
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kelemen et al. | Elastic model-based segmentation of 3-D neuroradiological data sets | |
Young et al. | Computational cardiac atlases: from patient to population and back | |
Sparks et al. | Explicit shape descriptors: Novel morphologic features for histopathology classification | |
Zhan et al. | Registering histologic and MR images of prostate for image-based cancer detection | |
US20080170770A1 (en) | method for tissue culture extraction | |
US9636075B2 (en) | Simulation-based estimation of elasticity parameters and use of same for non-invasive cancer detection and cancer staging | |
JP2013501290A (en) | Apparatus and method for aligning two medical images | |
US8965077B2 (en) | Methods and systems for fast automatic brain matching via spectral correspondence | |
Lei et al. | Male pelvic multi‐organ segmentation on transrectal ultrasound using anchor‐free mask CNN | |
Zhen et al. | A segmentation and point-matching enhanced efficient deformable image registration method for dose accumulation between HDR CT images | |
WO2000014668A1 (en) | Method and system for improved detection of prostate cancer | |
Schreibmann et al. | Narrow band deformable registration of prostate magnetic resonance imaging, magnetic resonance spectroscopic imaging, and computed tomography studies | |
Nir et al. | Model-based registration of ex vivo and in vivo MRI of the prostate using elastography | |
Li et al. | Segmentation of prostate from ultrasound images using level sets on active band and intensity variation across edges | |
Nir et al. | Registration of whole-mount histology and volumetric imaging of the prostate using particle filtering | |
Shi et al. | Shape-based 4D left ventricular myocardial function analysis | |
Lee et al. | Simulation-based joint estimation of body deformation and elasticity parameters for medical image analysis | |
Narayanan et al. | Adaptation of a 3D prostate cancer atlas for transrectal ultrasound guided target-specific biopsy | |
Chang et al. | Segmentation of brain MR images using a charged fluid model | |
Shi et al. | Myocardial motion and function assessment using 4D images | |
Xuan et al. | Surface reconstruction and visualization of the surgical prostate model | |
Chilali et al. | A survey of prostate modeling for image analysis | |
Wang et al. | Statistical modeling and visualization of localized prostate cancer | |
Liu et al. | Unsupervised 3D Prostate Segmentation Based on Diffusion‐Weighted Imaging MRI Using Active Contour Models with a Shape Prior | |
Lynch et al. | Statistical Modeling and Visualization of Localized Prostate Cancer |