Guerreiro et al., 2017 - Google Patents
Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planningGuerreiro et al., 2017
View HTML- Document ID
- 11839030878271557404
- Author
- Guerreiro F
- Burgos N
- Dunlop A
- Wong K
- Petkar I
- Nutting C
- Harrington K
- Bhide S
- Newbold K
- Dearnaley D
- Desouza N
- Morgan V
- McClelland J
- Nill S
- Cardoso M
- Ourselin S
- Oelfke U
- Knopf A
- Publication year
- Publication venue
- Physica Medica
External Links
Snippet
Background and purpose Computed tomography (CT) imaging is the current gold standard for radiotherapy treatment planning (RTP). The establishment of a magnetic resonance imaging (MRI) only RTP workflow requires the generation of a synthetic CT (sCT) for dose …
- 238000001959 radiotherapy 0 title abstract description 23
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves involving electronic or nuclear magnetic resonance, e.g. magnetic resonance imaging
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/50—Clinical applications
- A61B6/507—Clinical applications involving determination of haemodynamic parameters, e.g. perfusion CT
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radiowaves
- A61B5/053—Measuring electrical impedance or conductance of a portion of the body
- A61B5/0536—Impedance imaging, e.g. by tomography
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
-
- 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
- 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
- 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]
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Guerreiro et al. | Evaluation of a multi-atlas CT synthesis approach for MRI-only radiotherapy treatment planning | |
| Spadea et al. | Deep convolution neural network (DCNN) multiplane approach to synthetic CT generation from MR images—application in brain proton therapy | |
| Johnstone et al. | Systematic review of synthetic computed tomography generation methodologies for use in magnetic resonance imaging–only radiation therapy | |
| JP6567179B2 (en) | Pseudo CT generation from MR data using feature regression model | |
| US8787648B2 (en) | CT surrogate by auto-segmentation of magnetic resonance images | |
| US10223794B2 (en) | Method and device for generating one or more computer tomography images based on magnetic resonance images with the help of tissue class separation | |
| Rorden et al. | Age-specific CT and MRI templates for spatial normalization | |
| US10413253B2 (en) | Method and apparatus for processing medical image | |
| US7817836B2 (en) | Methods for volumetric contouring with expert guidance | |
| Zheng et al. | Magnetic resonance–based automatic air segmentation for generation of synthetic computed tomography scans in the head region | |
| US10149987B2 (en) | Method and system for generating synthetic electron density information for dose calculations based on MRI | |
| JP2018535732A (en) | Pseudo CT generation from MR data using tissue parameter estimation | |
| Yu et al. | Toward magnetic resonance–only simulation: segmentation of bone in MR for radiation therapy verification of the head | |
| Farjam et al. | Multiatlas approach with local registration goodness weighting for MRI‐based electron density mapping of head and neck anatomy | |
| CN107865658A (en) | Method and apparatus for correcting synthesis electron-density map | |
| Olin et al. | Robustness and generalizability of deep learning synthetic computed tomography for positron emission tomography/magnetic resonance imaging–based radiation therapy planning of patients with head and neck cancer | |
| US12112845B2 (en) | Compartmentalized dynamic atlas | |
| Baydoun et al. | Dixon-based thorax synthetic CT generation using generative adversarial network | |
| EP4593025A1 (en) | Method and device for converting medical image using artificial intelligence | |
| Park et al. | MRI-based computed tomography metal artifact correction method for improving proton range calculation accuracy | |
| Van de Velde et al. | Reliability and accuracy assessment of radiation therapy oncology group-endorsed guidelines for brachial plexus contouring | |
| Grova et al. | A methodology to validate MRI/SPECT registration methods using realistic simulated SPECT data | |
| EP4560568A1 (en) | Method for evaluating the exploitability of 4d-tomographic image data, computer program product and scanner device | |
| Uh et al. | Feasibility of MRI‐based estimation of water‐equivalent path length to detect changes in proton range during treatment courses | |
| Pappas et al. | New method to assess the registration of CT-MR images of the head |