Hrinivich et al., 2019 - Google Patents
Automatic tandem and ring reconstruction using MRI for cervical cancer brachytherapyHrinivich et al., 2019
View PDF- Document ID
- 4943567587652609750
- Author
- Hrinivich W
- Morcos M
- Viswanathan A
- Lee J
- Publication year
- Publication venue
- Medical physics
External Links
Snippet
Purpose The MRI‐guided cervical cancer brachytherapy provides unparalleled soft‐tissue contrast for target and normal tissue contouring, but eliminates the ability to use conventional metallic fiducials for radiation source path reconstruction as required for …
- 238000002725 brachytherapy 0 title abstract description 36
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
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10116—X-ray image
-
- 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
- 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
- G06T2207/20156—Automatic seed setting
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
- A61N5/00—Radiation therapy
- A61N5/10—X-ray therapy; Gamma-ray therapy; Particle-irradiation therapy
- A61N5/1048—Monitoring, verifying, controlling systems and methods
-
- 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
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Jonsson et al. | The rationale for MR-only treatment planning for external radiotherapy | |
| Chen et al. | U‐net‐generated synthetic CT images for magnetic resonance imaging‐only prostate intensity‐modulated radiation therapy treatment planning | |
| Hrinivich et al. | Automatic tandem and ring reconstruction using MRI for cervical cancer brachytherapy | |
| Hou et al. | Deformable planning CT to cone‐beam CT image registration in head‐and‐neck cancer | |
| El Naqa et al. | Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning a | |
| Devic | MRI simulation for radiotherapy treatment planning | |
| Ghose et al. | MRI‐alone radiation therapy planning for prostate cancer: automatic fiducial marker detection | |
| Akino et al. | Evaluation of potential internal target volume of liver tumors using cine‐MRI | |
| Lu et al. | Simultaneous nonrigid registration, segmentation, and tumor detection in MRI guided cervical cancer radiation therapy | |
| Vasquez Osorio et al. | A novel flexible framework with automatic feature correspondence optimization for nonrigid registration in radiotherapy | |
| JP2018504969A (en) | 3D localization and tracking for adaptive radiation therapy | |
| JP2018506349A (en) | 3D localization of moving targets for adaptive radiation therapy | |
| Nosrati et al. | MRI-based automated detection of implanted low dose rate (LDR) brachytherapy seeds using quantitative susceptibility mapping (QSM) and unsupervised machine learning (ML) | |
| CN107865658B (en) | Method and apparatus for correcting synthesis electron-density map | |
| Yang et al. | Prostate CT segmentation method based on nonrigid registration in ultrasound‐guided CT‐based HDR prostate brachytherapy | |
| Chowdhury et al. | Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning | |
| Thorwarth et al. | Personalized precision radiotherapy by integration of multi-parametric functional and biological imaging in prostate cancer: a feasibility study | |
| Vásquez Osorio et al. | Accurate CT/MR vessel‐guided nonrigid registration of largely deformed livers | |
| Maspero et al. | Evaluation of an automatic MR-based gold fiducial marker localisation method for MR-only prostate radiotherapy | |
| Shaaer et al. | Deep‐learning‐assisted algorithm for catheter reconstruction during MR‐only gynecological interstitial brachytherapy | |
| Hamdan et al. | Fully automatic deformable registration of pretreatment MRI/CT for image‐guided prostate radiotherapy planning | |
| EP4593025A1 (en) | Method and device for converting medical image using artificial intelligence | |
| Chen et al. | Combining registration and active shape models for the automatic segmentation of the lymph node regions in head and neck CT images | |
| Chen et al. | Object‐constrained meshless deformable algorithm for high speed 3D nonrigid registration between CT and CBCT | |
| Van De Schoot et al. | Generic method for automatic bladder segmentation on cone beam CT using a patient‐specific bladder shape model |