Tensor-decomposition regularized learning for fast and high-fidelity multi-parametric microstructural MR imaging [0.03%]
Wenxin Fan,Jian Cheng,Qiyuan Tian et al.
Wenxin Fan et al.
Background: Deep learning (DL) has emerged as a promising approach for learning the nonlinear mapping between diffusion-weighted MR images and tissue parameters, enabling automatic and in-depth understanding of brain micr...
Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multicentric anthropomorphic phantom study [0.03%]
María Martín Asiain,Mohammadreza Amirian,Oscar Jimenez Del Toro et al.
María Martín Asiain et al.
Background: Computed tomography (CT) is widely used in clinical practice due to its ability to provide detailed anatomical information. However, variations in radiation dose can affect image quality, potentially compromis...
Comparative Study
Medical physics. 2026 Mar;53(3):e70374. DOI:10.1002/mp.70374 2026
Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy [0.03%]
Andreas Pflaum,Nicole Brand,Elias Kempf et al.
Andreas Pflaum et al.
Background: Detector arrays are commonly used for treatment plan verifications in intensity modulated radiation therapy. However, the intrinsic resolution of detector arrays is limited by the physical dimensions of each s...
Minhong Li,Sampana Fatima,Nasma Wabasa
Minhong Li
Background: Lateral discoid meniscus (LDM) injuries have traditionally been diagnosed using magnetic resonance imaging (MRI), which provides detailed macroscopic visualization of the meniscus. MRI remains the gold standar...
Single-field-uniform-dose-per-fraction simultaneous dose and dose rate optimization (SFUDPF-SDDRO) method for proton FLASH therapy [0.03%]
Ying Luo,Ya-Nan Zhu,Jufri Setianegara et al.
Ying Luo et al.
Background: The FLASH effect can significantly reduce radiation-induced normal tissue damage while maintaining tumour control, but requires ultra-high dose rates and high doses. ...
Ao Shen,Junfeng Jiang,Ye Tang et al.
Ao Shen et al.
Background: The integration of artificial intelligence into image-guided intraoperative interventions holds considerable promise for deriving 3D geometric information from 2D imaging. 2D/3D registration establishes the sp...
Unsupervised deep learning-based 4DCT deformable image registration and carbon-ion 4D dose calculation [0.03%]
Xiaoyan An,Jian Wang,Jun Zhang et al.
Xiaoyan An et al.
Background: Accurate four-dimensional dose calculation (4DDC) is essential for carbon-ion lung radiotherapy and relies on deformable image registration (DIR). However, conventional DIR methods are computationally intensiv...
Experimental characterization and mitigation of scatter induced spectral contamination in photon counting CBCT for radiotherapy [0.03%]
Ryan Sabounchi,Uttam Pyakurel,Abhinya Shukla et al.
Ryan Sabounchi et al.
Background: Photon counting detectors (PCDs) have the potential to enable spectral cone beam computed tomography (CBCT) in radiotherapy, which may improve tissue visualization, tissue characterization, and dose calculatio...
Qingying Wang,Mingli Chen,Yinheng Zhu et al.
Qingying Wang et al.
Background: Dose prediction has great potential in improving plan quality and efficiency by estimating optimal dose distribution. However, most existing deep learning (DL) based dose prediction models for intensity-modula...
Energy dependence of Farmer-type ionization chambers used in kilovoltage x-ray beam reference dosimetry [0.03%]
Madelaine Tyler,Duncan Butler,Mitchell Duncan et al.
Madelaine Tyler et al.
Background: Absorbed dose determination for therapeutic kilovoltage (kV) x rays is performed following international recommendations to ensure consistency in practice and equivalence in dose delivery for patients worldwid...