Auxiliary devices such as immobilization systems should be considered in synthetic CT (sCT)-based treatment planning (TP) for MRI-only brain radiotherapy (RT). Amethod for auxiliary device definition in the sCT is introduced, and its dosimetric impact on the sCT-based TP is addressed.#T1-VIBE ...
This techniques is also used in on-line MRI-Linac (e.g. Unity 1.5T MR-Linac of Elekta and MRIdian of Viewray) for on-line treatment planning adaption. Fig.5 Elekta's 1.5T MR-Linac, Unity Link: Unity:1.5T 高场MRI-Linac系统 But this method could lead to more than 2% dose...
Image similarity evaluation of the bulk-density-assigned synthetic CT derived from MRI of intracranial regions for radiation treatment 来自 科研支点 喜欢 0 阅读量: 28 作者: K Shin-Wook,S Hun-Joo,H Jin-Ho,S Jin-Sol,P Sung-Kwang,K Jin-Young,K Ki-Jun,K Chul-Seung,YN Kang,Q Zhang ...
Accurate segmentation of the pelvic OARs on CT image for treatment planning is challenging due to the poor soft-tissue contrast [85,258]. MRI has been used to aid CT prostate delineation, but it is not as accessible as CT for radiation therapy [259,260]. Lei et al. developed a deep ...
MRI‐only based radiotherapysynthetic CTPurpose: Automated synthetic computed tomography (sCT) generation based on magnetic resonance imaging (MRI) images would allow for MRI-only based treatment planning in radiation therapy, eliminating the need for CT simulation and simplifying the patient treatment ...
These agents block specific inflammatory pathways and are widely used for the treatment of many different conditions [31]. Aspirin is the first agent used for inflammatory diseases and it inhibits several protein pathways, such as cyclooxygenase (COX) and nuclear factor-kB (NF-kB), which are ...
Conventional radiotherapy (CRT) has limited local control and poses a high risk of severe toxicity in large lung tumors. This study aimed to develop an integrated treatment plan that combines CRT with lattice boost radiotherapy (LRT) and monitors its dos
Synthetic data has revolutionized medical imaging by providing a workaround for the limited availability of annotated datasets needed for training machine learning models. In this regard, GANs and VAEs are useful techniques to synthesize MRI, CT, or X-ray images. The use of such synthetic images...
Deep learning-based image analysis offers great potential in clinical practice. However, it faces mainly two challenges: scarcity of large-scale annotated clinical data for training and susceptibility to adversarial data in inference. As an example, an artificial intelligence (AI) system could check ...
The encouraging results from our study, along with other structure-to-function transfer studies such as hyperpolarized gas MRI ventilation scans derived from CT28 and SPECT perfusion scans based on CT,11 underscore the need for future research investigations. These studies hold the potential to ...