Abstract Background Chronic inflammation may contribute to increased mortality risk in individuals with osteoarthritis (OA), but research on the prognostic value of inflammatory biomarkers is limited. We aimed evaluate associations systemic immune–inflammation index (SII) and response (SIRI) all-cause cardiovascular among US adults OA. Methods This cohort study included 3545 OA aged ≥ 20 years from National Health Nutrition Examination Survey 1999–2020. The SII SIRI were calculated using...

Magnetic resonance imaging (MRI) and photoacoustic tomography (PAT) offer two distinct image contrasts. To integrate these modalities, we present a comprehensive hardware-software solution for the successive acquisition co-registration of PAT MRI images in vivo animal studies. Based on commercial scanners, our includes 3D-printed dual-modality bed, 3-D spatial algorithm with markers, robust modality switching protocol Using proposed solution, successfully demonstrated co-registered...

Abstract Background Hyperuricemia is associated with increased systemic inflammation. The immune‐inflammation index (SII) and inflammation response (SIRI) are novel markers prognostic markers. However, no studies have evaluated the association between SII/SIRI mortality risk in individuals hyperuricemia. This study aimed to investigate predictive value of SII SIRI for all‐cause cardiovascular a large cohort hyperuricemia patients. Methods We conducted prospective using data from National...

Rigid 2D-3D registration is an alternative to 3D-3D for cases where largely bony anatomy can be used patient positioning in external beam radiation therapy. In this article, the authors evaluated seven similarity measures use intensity-based rigid using a variation Skerl's measure evaluation protocol.The are partitioned intensity uniformity, normalized mutual information (NMI), cross correlation (NCC), entropy of difference image, pattern (PI), gradient (GC), and (GD). contrast traditional...

Abstract Purpose Although [18F]-FDG-PET/CT scanning (PET/CT) is recommended for managing Staphylococcus aureus bacteremia (SAB), its added value remains debated. This study investigated the clinical revenues of selective PET/CT use in SAB by considering three consequence-categories: detection new infection foci, performance interventions, and alterations antimicrobial therapy. Methods All adult patients with ≥ 1 blood culture (BC) positive admitted a Dutch academic center between 2017 11...

An automated method is presented for determining individual leaf positions of the Siemens dual focus multileaf collimator (MLC) using BEAMVIEW(PLUS) electronic portal imaging device (EPID). Leaf are computed with an error 0.6 mm at one standard deviation (sigma) separate computations pixel dimensions, image distortion, and radiation center. The dimensions calculated by superimposing film a graticule corresponding EPID image. A spatial correction used to compensate optical distortions EPID,...

Terrain LOD algorithm is a dynamic and local dough sheet subduction algorithm. On the basis of research on traditional quadtree algorithm, this paper proposed new terrain using quadtree. deviation computing standard, besides static view distance, motion vector observation are introduced, which made result close to accurate value. crack elimination, elimination proposed, increases list polygon specially eliminates all s by one time rendering. So, judge vertex not required in course block...

Purpose To investigate the correlation between diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) derived parameters radioresponsiveness of Lewis lung carcinoma (LLC) tumor. Materials Methods LLC tumor growth in C57BL/6 mouse limb was used for experiment. The tumors were irradiated with 10 Gy×5, or 30 Gy×2 vs. sham irradiation. Fourteen subjected to DW-MRI DCE-MRI pre-radiotherapy weekly after radiotherapy. temporal changes apparent diffusion...

Our purpose was to develop a neural network‐based registration quality evaluator (RQE) that can improve the 2D/3D image robustness for pediatric patient setup in external beam radiotherapy. Orthogonal daily X‐ray images of six patients with brain tumors receiving proton therapy treatments were retrospectively registered their treatment planning computed tomography (CT) images. A pattern classifier used determine whether solution successful based on geometric features similarity measure...

The longitudinal coverage of a LINAC-mounted CBCT scan is limited to the corresponding dimensional limits its flat panel detector, which often shorter than length treatment field. These become apparent when fields are designed encompass wide regions, as providing nodal coverage. Therefore, we developed novel protocol acquire double orbit images using commercial system, and combine extend for image-guided adaptive radiotherapy (IGART). acquires two scans with couch shift similar...

Purpose Ionization chambers are the detectors of choice for photon beam profile scanning. However, they introduce significant volume averaging effect (VAE) that can artificially broaden penumbra width by 2–3 mm. The purpose this study was to examine feasibility deconvolution (the elimination VAE from ionization chamber‐measured profiles) using a three‐layer feedforward neural network. Methods Transverse profiles fields between 2 × and 10 cm were collected with both CC13 chamber an EDGE diode...

Abstract Magnetic resonance imaging (MRI) and photoacoustic tomography (PAT) are two advanced modalities that offer distinct image contrasts: MRI has a multi-parameter contrast mechanism provides excellent anatomical soft tissue contrast, whereas PAT is capable of mapping physiological metabolism exogenous agents with optical specificity. Attempts have been made to integrate these modalities, but rigid reliable registration the images for in vivo still challenging. In this paper, we present...

In external beam radiation therapy, digitally reconstructed radiographs (DRRs) and portal images are used to verify patient setup based either on a visual comparison or, less frequently, with automated registration algorithms. A algorithm can be trapped in local optima due irregularity of anatomy, image noise artifacts, and/ or out‐of‐plane shifts, resulting an incorrect solution. Thus, human observation, which is subjective, still required check the result. We propose use novel quality...

Purpose To assess the precision and robustness of patient setup corrections computed from 3D/3D rigid registration methods using image intensity, when no ground truth validation is possible. Methods Fifteen pairs male pelvic CTs were rigidly registered four different in‐house methods. Registration results compared for resolutions content by varying down‐sampling ratio thresholding out soft tissue to isolate bony landmarks. Intrinsic was investigated comparing reversing source target roles...

Background Pittsburgh modified TNM criteria is one of the prognostic models orthotopic liver transplantation (OLT) for hepatocellular carcinoma (HCC). In this study, we applied system in a series HCC patients receiving OLT to verify its reliability clinical prediction. Methods The record and follow-up data 102 with underwent was collected. were classified by 3 staging systems: Modified Criteria, International Union Against Cancer (UICC) pTNM Staging System, Milan Criteria. Survival rates...

Purpose: To develop a neural network based registration quality evaluator (RQE) that can identify unsuccessful 3D/3D image registrations for the head‐and‐neck patient setup in radiotherapy. Methods: A two‐layer feed‐forward was used as RQE to classify rigid solutions successful or on features of similarity surface near point‐of‐solution. The supervised training and test data sets were generated by rigidly registering daily cone‐beam CTs treatment planning fan‐beam six patients with tumors....

Purpose: To develop a population‐based model of surface segmentation uncertainties for uncertainty‐weighted surface‐based deformable registrations. Methods: The contours the prostate, bladder, and rectum were manually delineated by five observers on fan beam CT images four prostate cancer patients. First, patient‐specific representations structure derived determining interobserver variability (i.e., standard deviation) boundary delineation. This was achieved (1) generating an average mesh...

Abstract Purpose The authors have previously shown the feasibility of using an artificial neural network (ANN) to eliminate volume average effect (VAE) scanning ionization chambers (ICs). purpose this work was evaluate method when applied beams different energies (6 and 10 MV) modalities [flattened (FF) vs unflattened (FFF)], measured with ICs various sizes. Methods three‐layer ANN extracted data from transverse photon beam profiles a sliding window, output deconvolved value corresponding...

Previous studies have shown that cortical superficial siderosis (cSS) can increase hematoma volume and predict poor outcomes following primary intracerebral hemorrhage (ICH).We aimed to determine whether a large was the essential factor contributing worse of cSS.Patients with spontaneous ICH underwent CT scan within 48 h after ictus. Evaluation cSS performed using magnetic resonance imaging (MRI) 7 days. The 90-day outcome assessed modified Rankin Scale (mRS). In addition, we investigated...

Background and purpose Cortical superficial siderosis (cSS) cerebral microbleed (CMB) have distinct effects on intracerebral haemorrhage (ICH). We aim to investigate the combined effect of cSS CMB outcomes after ICH. Methods Based a single-centre stroke registry database, patients with spontaneous ICH who had CT scan within 48 hours ictus MRI subsequently were identified. Eligible divided into four groups (cSS-CMB−, cSS-CMB+, cSS+CMB−, cSS+CMB+) according susceptibility-weighted image MRI....

The use of the ionization chamber array ICProfiler (ICP) is limited by its relatively poor detector spatial resolution and inherent volume averaging effect (VAE). purpose this work to study feasibility reconstructing VAE-free continuous photon beam profiles from ICP measurements with a machine learning technique.In- cross-plane 6 MV an Elekta linear accelerator, ranging 2 × 10 cm2 at 1.5 cm, 5 cm depth, were measured ICP. discrete interpolated Makima method obtain profiles. Artificial neural...

This document describes an ITK-based implementation of intensity-based 2D/3D rigid image registration for patient setup assessment in external beam radiotherapy. The framework was designed to simultaneously register two projection images a 3D volume. geometry set up simulate the x-ray imaging system that attached medical linear accelerator cancer treatment. normalized correlation used as similarity measure and Powell’s optimizer optimization method. Siddon-Jacobs fast ray-tracing algorithm...

One-shot semantic segmentation aims to segment query images given only ONE annotated support image of the same class. This task is challenging because target objects in and can be largely different appearance pose (i.e., intra-class variation). Prior works suggested that incorporating more few-shot settings boosts performances but increases costs due additional manual labeling. In this paper, we propose a novel approach for ONE-shot segmentation, called Group-On, which packs multiple batches...