Simultaneous imaging of multiple probes or biomarkers represents a critical step toward high specificity molecular imaging. In this work, we propose to utilize the element-specific nature X-ray fluorescence (XRF) signal for elements simultaneously (multiplexing) using XRF computed tomography (XFCT). A 5-mm-diameter pencil beam produced by polychromatic source (150 kV, 20 mA) was used stimulate emission photons from 2% (weight/volume) gold (Au), gadolinium (Gd), and barium (Ba) embedded...

The smart healthcare system plays a vital role in modern healthcare, facilitating the exchange of Electronic Patient Records (EPR) and improving medical care. Nonetheless, safeguarding inherent security confidentiality EPR data persists as formidable challenge, demanding rigorous attention innovative solutions. Digital watermarking safeguards genuineness integrity digital images is widely employed. In imaging, guaranteeing patient vital. this paper, we propose an...

Purpose: Four‐dimensional CT (4DCT) and cone beam (CBCT) are widely used in radiation therapy for accurate tumor target definition localization. However, high‐resolution dynamic image reconstruction is computationally demanding because of the large amount data processed. Efficient use these imaging techniques clinic requires high‐performance computing. The purpose this work to develop a novel ultrafast, scalable reliable technique 4D CBCT/CT using parallel computing framework called...

The processing speed for positron emission tomography (PET) image reconstruction has been greatly improved in recent years by simply dividing the workload to multiple processors of a graphics unit (GPU). However, if this strategy is generalized multi-GPU cluster, does not improve linearly with number GPUs. This because large data transfer required between GPUs after each iteration, effectively reducing parallelism. paper proposes novel approach reformulate maximum likelihood expectation...

Purpose: Radiation therapy with high dose rate and flattening filter‐free (FFF) beams has the potential advantage of greatly reduced treatment time out‐of‐field dose. Current inverse planning algorithms are, however, not customized for nonuniform incident profiles resultant IMRT plans are often inefficient in delivery. The authors propose a total‐variation regularization (TVR)‐based formalism by taking inherent shapes beam into account. Methods: A novel TVR‐based is established profiles....

A steel–concrete composite beam bridge fully exploits the mechanical advantages of concrete structure and steel structure, has a fast construction speed large stiffness. It is certain research value to explore application this type in field railway bridges. However, with rapid development domestic high-speed construction, problem vibration noise radiation bridges caused by train loads becoming more serious. combines tensile characteristics compressive perfectly. At same time, it also terms...

Purpose: X‐ray scatter results in a significant degradation of image quality computed tomography (CT), representing major limitation cone‐beam CT (CBCT) and large field‐of‐view diagnostic scanners. In this work, novel estimation correction technique is proposed that utilizes peripheral detection during the patient scan to simultaneously acquire patient‐specific information single scan, conjunction with compressed sensing recovery reconstruct correct for projection space. Methods: The method...

Purpose: To develop a binary image reconstruction method for the autolocalization of metallic object(s) in CT with sparse projections. Methods: The authors divide system into two types contents: Metal(s) and nonmetal(s). boundaries objects are obtained by using penalized weighted least‐squares algorithm adequate intensity gradient‐controlled. A novel mechanism “amplifying” difference between metal(s) nonmetallic substances is introduced preprocessing sinogram data, which shown to be...

In recent years, there is a growing demand for materials that can both improve the mechanical properties of structures and carry out health monitoring risk warning. this case, in order to realize distributed deformation monitoring, new method making geogrid by 3D printing technology proposed. The grille rib made embedding conductive polymer (ground carbon fiber as filler) into insulating shell (PLA material) specified path, then vertically crossed each other form sample. study function grid,...

This paper focuses on the application of pile foundation underpinning technology in a deep pit subway Viaduct Project Beijing. The study aims to address engineering characteristics project, including large number new piles, wide span abutment, long length pit, and range influences. research utilizes field monitoring numerical simulation methods investigate underpinnings. impact management road-deep construction are considered, as well their combined effect viaducts track structures. primary...

Structural health monitoring with accelerometers provides notable benefits over strain gauges, particularly in installation time and cost efficiency. However, effective local damage assessment necessitates access to stress histories. This paper proposes a methodology that integrates two distinct approaches identify predict across various bridge locations from sparse via acceleration data. The proposed model is validated using histories accelerations collected the composite railway Bryngeån...

Non-coplanar beams are important for treatment of both cranial and noncranial tumors. Treatment verification such with couch rotation/kicks, however, is challenging, particularly the application cone beam CT (CBCT). In this situation, only limited unconventional imaging angles feasible to avoid collision between gantry, couch, patient, on-board system. The purpose work develop a CBCT strategy patients undergoing non-coplanar radiation therapy. We propose an image reconstruction scheme that...

Lung sound is an important reference factor in determining respiratory diseases. In particular, automatic lung classification systems could be of great help situations where medical professionals are unavailable. this work, we preprocess the original signal to remove noise interference from signal. The processed generated as a spectrogram by short-time Fourier transform. classified deep learning network based on ResNet, thus identifying cycle into four types: normal, crackle, wheeze, and...

Segmentation of the entire aorta and true-false lumen is crucial to inform plan follow-up for endovascular repair rare yet life threatening type B aortic dissection. Manual segmentation by slice time-consuming requires expertise, while current computer-aided methods focus on aorta, are unable concurrently segment lumen, some require human interaction. We here report a fully automated approach based 3-D multi-task deep convolutional neural network that segments from CTA images in unified...

Indoor localization has recently gained much attention in academia and business. Here, we raise a new approach to deal with this problem, using variety of indoor images information. Different from previous research, use Oriented FAST rotated BRIEF(ORB) instead SIFT, which saves time feature extraction stage. Moreover, apply Locality Sensitive Hashing(LSH) do matching work. It reduces complexity further improve efficiency. With novel combination ORB LSH, significantly shortened process time....