[go: up one dir, main page]

Schmidt-Richberg et al., 2017 - Google Patents

Abdomen segmentation in 3D fetal ultrasound using CNN-powered deformable models

Schmidt-Richberg et al., 2017

Document ID
15540656078059384562
Author
Schmidt-Richberg A
Brosch T
Schadewaldt N
Klinder T
Cavallaro A
Salim I
Roundhill D
Papageorghiou A
Lorenz C
Publication year
Publication venue
International Workshop on Ophthalmic Medical Image Analysis

External Links

Snippet

In this paper, voxel probability maps generated by a novel fovea fully convolutional network architecture (FovFCN) are used as additional feature images in the context of a segmentation approach based on deformable shape models. The method is applied to fetal …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10088Magnetic resonance imaging [MRI]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20156Automatic seed setting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20092Interactive image processing based on input by user
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K2209/00Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K2209/05Recognition of patterns in medical or anatomical images
    • G06K2209/051Recognition of patterns in medical or anatomical images of internal organs
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping

Similar Documents

Publication Publication Date Title
US12354264B2 (en) Three dimensional object segmentation of medical images localized with object detection
US20240119719A1 (en) Identification and tracking of a predefined object in a set of images from a medical image scanner during a surgical procedure
JP7760515B2 (en) Automated tumor detection based on image processing
Kermi et al. Fully automated brain tumour segmentation system in 3D‐MRI using symmetry analysis of brain and level sets
EP1432994B1 (en) System and method for segmenting the left ventricle in a cardiac mr image
Alansary et al. Fast fully automatic segmentation of the human placenta from motion corrupted MRI
CN106340021B (en) Blood vessel extraction method
Schmidt-Richberg et al. Abdomen segmentation in 3D fetal ultrasound using CNN-powered deformable models
Hammernik et al. Vertebrae segmentation in 3D CT images based on a variational framework
CN101111865A (en) Systems and methods for segmenting the left ventricle in cardiac images
Ryou et al. Automated 3D ultrasound biometry planes extraction for first trimester fetal assessment
US20090016583A1 (en) System and Method for Detecting Spherical and Ellipsoidal Objects Using Cutting Planes
CN110782434A (en) Intelligent marking and positioning device for brain tuberculosis MRI image focus
Lorenz et al. Automated abdominal plane and circumference estimation in 3D US for fetal screening
Liu et al. Automatic detection of the anterior and posterior commissures on MRI scans using regression forests
Delmoral et al. Segmentation of pathological liver tissue with dilated fully convolutional networks: A preliminary study
Weese et al. Shape-constrained deformable models and applications in medical imaging
Klinder et al. Abdomen Segmentation in 3D Fetal Ultrasound Using CNN-powered Deformable Models
Czajkowska et al. 4d segmentation of ewing’s sarcoma in MR images
Rahni et al. Automated bed detection and removal from abdominal ct images for automatic segmentation applications
Kroll et al. Coupling convolutional neural networks and hough voting for robust segmentation of ultrasound volumes
Xu et al. Accurate and efficient separation of left and right lungs from 3D CT scans: a generic hysteresis approach
Baloni et al. B-Map: a fuzzy-based model to detect foreign objects in a brain
Reda et al. Prostate segmentation from dw-mri using level-set guided by nonnegative matrix factorization
Hansis et al. Landmark constellation models for medical image content identification and localization