Purpose: In image-guided radiotherapy of prostate cancer defining the clinical target volume often relies on magnetic resonance (MR). The task of transferring the clinical target volume from MR to standard planning computed tomography (CT) is not trivial due to prostate mobility. In this paper, an automatic local registration approach is proposed based on a newly developed removable Ni-Ti prostate stent.
Methods: The registration uses the voxel similarity measure mutual information in a two-step approach where the pelvic bones are used to establish an initial registration for the local registration.
Results: In a phantom study, the accuracy was measured to 0.97 mm and visual inspection showed accurate registration of all 30 data sets. The consistency of the registration was examined where translation and rotation displacements yield a rotation error of 0.41° ± 0.45° and a translation error of 1.67 ± 2.24 mm.
Conclusions: This study demonstrated the feasibility for an automatic local MR-CT registration using the prostate stent.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1118/1.4807087 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Interobserver variability of clinical target volume delineation in patients undergoing breast-conserving surgery without surgical clips: a pilot study on preoperative magnetic resonance simulation.
BMC Cancer
October 2024
Department of Radiation Oncology, Peking Union Medical College Hospital Chinese Academy of Medical Sciences & Peking Union Medical College, No. 1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, People's Republic of China.
Background: In patients undergoing breast-conserving therapy without surgical clip implantation, the accuracy of tumor bed identification and the consistency of clinical target volume (CTV) delineation under computed tomography (CT) simulation remain suboptimal. This study aimed to investigate the feasibility of implementing preoperative magnetic resonance (MR) simulation on delineations by assessing interobserver variability (IOV).
Methods: Preoperative MR and postoperative CT simulations were performed in patients who underwent breast-conserving surgery with no surgical clips implanted.
UTSRMorph: A Unified Transformer and Superresolution Network for Unsupervised Medical Image Registration.
IEEE Trans Med Imaging
September 2024
Complicated image registration is a key issue in medical image analysis, and deep learning-based methods have achieved better results than traditional methods. The methods include ConvNet-based and Transformer-based methods. Although ConvNets can effectively utilize local information to reduce redundancy via small neighborhood convolution, the limited receptive field results in the inability to capture global dependencies.
View Article and Find Full Text PDFUS & MR/CT Image Fusion with Markerless Skin Registration: A Proof of Concept.
J Imaging Inform Med
July 2024
CNR-IMATI 'E. Magenes', via de Marini, 6, Genova, Italy.
This paper presents an innovative automatic fusion imaging system that combines 3D CT/MR images with real-time ultrasound acquisition. The system eliminates the need for external physical markers and complex training, making image fusion feasible for physicians with different experience levels. The integrated system involves a portable 3D camera for patient-specific surface acquisition, an electromagnetic tracking system, and US components.
View Article and Find Full Text PDFBi-Fusion of Structure and Deformation at Multi-Scale for Joint Segmentation and Registration.
IEEE Trans Image Process
June 2024
Medical image segmentation and registration are two fundamental and highly related tasks. However, current works focus on the mutual promotion between the two at the loss function level, ignoring the feature information generated by the encoder-decoder network during the task-specific feature mapping process and the potential inter-task feature relationship. This paper proposes a unified multi-task joint learning framework based on bi-fusion of structure and deformation at multi-scale, called BFM-Net, which simultaneously achieves the segmentation results and deformation field in a single-step estimation.
View Article and Find Full Text PDFMulti-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function.
J Vis Exp
April 2024
School of Biomedical Engineering, University of British Columbia; Department of Radiology, University of British Columbia.
Article Synopsis
- - Hyperpolarized Xe gas MRI is a new method for assessing lung function, focusing on gas distribution and exchange, and it complements traditional chest CT imaging which is the current standard due to its speed and accessibility.
- - CT scans allow for detailed structural measurements of the lungs, while Xe MRI helps evaluate functional aspects, together providing better insights into lung health and diseases.
- - The text outlines a method for registering Xe MRI and CT images, discusses current applications and challenges in the field, and suggests future directions for research to improve the integration of these imaging techniques.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!