A Quantum Denoising-Based Resolution Enhancement Framework for 250-MHz and 500-MHz Quantitative Acoustic Microscopy [0.03%]
一种基于量子去噪的250兆赫和500兆赫量化声学显微镜分辨率增强框架
Sayantan Dutta,Jonathan Mamou
Sayantan Dutta
Quantitative acoustic microscopy (QAM) forms two-dimensional (2D) quantitative maps of acoustic properties of thin tissue sections at a microscopic scale (200 MHz) ultrasonic excitation. Our custom-made QAM systems employ a 250-MHz or a 500...
ProxNF: Neural Field Proximal Training for High-Resolution 4D Dynamic Image Reconstruction [0.03%]
基于神经场临近域训练的高分辨率4D动态图像重建技术
Luke Lozenski,Refik Mert Cam,Mark D Pagel et al.
Luke Lozenski et al.
Accurate spatiotemporal image reconstruction methods are needed for a wide range of biomedical research areas but face challenges due to data incompleteness and computational burden. Data incompleteness arises from the undersampling often r...
Zihui Wu,Tianwei Yin,Yu Sun et al.
Zihui Wu et al.
Compressed sensing magnetic resonance imaging (CS-MRI) seeks to recover visual information from subsampled measurements for diagnostic tasks. Traditional CS-MRI methods often separately address measurement subsampling, image reconstruction,...
GroupCDL: Interpretable Denoising and Compressed Sensing MRI via Learned Group-Sparsity and Circulant Attention [0.03%]
GroupCDL：通过学习的群稀疏性和循环注意力实现可解释的去噪和压缩感知MRI技术
Nikola Janjušević,Amirhossein Khalilian-Gourtani,Adeen Flinker et al.
Nikola Janjušević et al.
Nonlocal self-similarity within images has become an increasingly popular prior in deep-learning models. Despite their successful image restoration performance, such models remain largely uninterpretable due to their black-box construction....
Provable Preconditioned Plug-and-Play Approach for Compressed Sensing MRI Reconstruction [0.03%]
具备证明的预处理插件型压缩感知MRI重建方法
Tao Hong,Xiaojian Xu,Jason Hu et al.
Tao Hong et al.
Model-based methods play a key role in the reconstruction of compressed sensing (CS) MRI. Finding an effective prior to describe the statistical distribution of the image family of interest is crucial for model-based methods. Plug-and-play ...
A Complex Quasi-Newton Proximal Method for Image Reconstruction in Compressed Sensing MRI [0.03%]
压缩感知MRI图像重建的复数拟牛顿 proximal算法
Tao Hong,Luis Hernandez-Garcia,Jeffrey A Fessler
Tao Hong
Model-based methods are widely used for reconstruction in compressed sensing (CS) magnetic resonance imaging (MRI), using regularizers to describe the images of interest. The reconstruction process is equivalent to solving a composite optim...
The Potential of Phase Constraints for Non-Fourier Radiofrequency-Encoded MRI [0.03%]
相位约束在非傅立叶磁共振成像无线电频编码中的潜力研究
Yunsong Liu,Congyu Liao,Kawin Setsompop et al.
Yunsong Liu et al.
In modern magnetic resonance imaging, it is common to use phase constraints to reduce sampling requirements along Fourier-encoded spatial dimensions. In this work, we investigate whether phase constraints might also be beneficial to reduce ...
Learned Full Waveform Inversion Incorporating Task Information for Ultrasound Computed Tomography [0.03%]
基于任务信息的全波形学习逆问题在超声计算机断层扫描中的应用
Luke Lozenski,Hanchen Wang,Fu Li et al.
Luke Lozenski et al.
Ultrasound computed tomography (USCT) is an emerging imaging modality that holds great promise for breast imaging. Full-waveform inversion (FWI)-based image reconstruction methods incorporate accurate wave physics to produce high spatial re...
SPECT reconstruction with a trained regularizer using CT-side information: Application to 177Lu SPECT imaging [0.03%]
基于CT侧信息训练的SPECT重建正则化方法及其在镥-177(SPECT)成像中的应用
Hongki Lim,Yuni K Dewaraja,Jeffrey A Fessler
Hongki Lim
Improving low-count SPECT can shorten scans and support pre-therapy theranostic imaging for dosimetry-based treatment planning, especially with radionuclides like 177Lu known for low photon yields. Conventional methods often underperform in...
Sound Speed Estimation for Distributed Aberration Correction in Laterally Varying Media [0.03%]
时变介质中的分布式波前校正声速估计算法
Rehman Ali,Trevor M Mitcham,Melanie Singh et al.
Rehman Ali et al.
Spatial variation in sound speed causes aberration in medical ultrasound imaging. Although our previous work has examined aberration correction in the presence of a spatially varying sound speed, practical implementations were limited to la...