Ionescu et al., 1999 - Google Patents

Automated registration of ultrasound with CT images: application to computer assisted prostate radiotherapy and orthopedics

Ionescu et al., 1999

View PDF
Document ID
10065869144096485893
Author
Ionescu G
Lavallée S
Demongeot J
Publication year
Publication venue
International Conference on Medical Image Computing and Computer-Assisted Intervention

External Links

Snippet

Ultrasound (US) imaging could potentially play a major role in the field of Computer Assisted Surgery (CAS). For doctors and surgeons to make full use of CAS tools in planning and executing surgical operations, they also need user-friendly automatic software based on …
Continue reading at www.academia.edu (PDF) (other versions)

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
    • G06T2207/30048—Heart; Cardiac
    • 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
    • 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
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/0068—Geometric 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
    • G06T3/0081—Geometric 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 by elastic snapping
    • 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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B17/00—Surgical instruments, devices or methods, e.g. tourniquets

Similar Documents

Publication Publication Date Title
Ionescu et al. Automated registration of ultrasound with CT images: application to computer assisted prostate radiotherapy and orthopedics
Ferrante et al. Slice-to-volume medical image registration: A survey
Reinertsen et al. Validation of vessel-based registration for correction of brain shift
Markelj et al. A review of 3D/2D registration methods for image-guided interventions
Maurer et al. Registration of head CT images to physical space using a weighted combination of points and surfaces [image-guided surgery]
Tomazevic et al. 3-D/2-D registration of CT and MR to X-ray images
Burschka et al. Scale-invariant registration of monocular endoscopic images to CT-scans for sinus surgery
US8358818B2 (en) Apparatus and methods of compensating for organ deformation, registration of internal structures to images, and applications of same
Liao et al. A review of recent advances in registration techniques applied to minimally invasive therapy
Winter et al. Registration of CT and intraoperative 3-D ultrasound images of the spine using evolutionary and gradient-based methods
Wein et al. Automatic bone detection and soft tissue aware ultrasound–CT registration for computer-aided orthopedic surgery
US20070167784A1 (en) Real-time Elastic Registration to Determine Temporal Evolution of Internal Tissues for Image-Guided Interventions
dos Santos et al. Pose-independent surface matching for intra-operative soft-tissue marker-less registration
Fitzpatrick Detecting failure, assessing success
Vásquez Osorio et al. Accurate CT/MR vessel‐guided nonrigid registration of largely deformed livers
Zheng et al. (i) Registration techniques for computer navigation
Lin et al. Real-time automatic registration in optical surgical navigation
Fanti et al. Improved Surface‐Based Registration of CT and Intraoperative 3D Ultrasound of Bones
Naik et al. Realistic C-arm to pCT registration for vertebral localization in spine surgery: A hybrid 3D-2D registration framework for intraoperative vertebral pose estimation
Lavallée et al. Building a hybrid patient's model for augmented reality in surgery: A registration problem
De Silva et al. Real-time, image-based slice-to-volume registration for ultrasound-guided spinal intervention
Letteboer et al. Non-rigid registration of 3D ultrasound images of brain tumours acquired during neurosurgery
Firle et al. Mutual-information-based registration for ultrasound and CT datasets
Liu et al. CT-ultrasound registration for electromagnetic navigation of cardiac intervention
Shi et al. Cost-function testing methodology for image-based registration of endoscopy to CT images in the head and neck