Micro-scale additive manufacturing has seen significant growth over the past years, where improving accuracy of complex micro-scale geometries is as an important challenge. Using grayscale images rather than black and white during production effective method to improve fabrication quality. This paper presents a model-based optimization for dimensional parts using voxel-based dynamic continuous ...

Introduction The exact dependence of biological effect on dose and linear energy transfer (LET) in human tissue when delivering proton therapy is unknown. In this study, we propose a framework for measuring dependency using multi‐modal image‐based assays with deformable registrations within imaging sessions across time. Materials Methods 3T MRI scans were prospectively collected from 6 pediatri...

introduction accurate estimation of the absorbed dose in radiosensitive organs, located away from the target volume during radiotherapy, is one of the main reasons for the development of reference phantoms. the international commission on radiological protection (icrp) reference phantoms can provide a more realistic view of the human anatomy in comparison with the previously used mathematical p...

Background: High-energy linear accelerator (linac) is a valuable tool and the most commonly device for external beam radiation treatments in cancer patients. In the linac head, high-energy photons with energies above the threshold of interaction produce photoneutrons. These photoneutrons deliver the extra dose to the patients in the planning treatment and increase the risk of secondary cancer.O...

Functional Magnetic Resonance Imaging (fMRI) is one of the most popular neuroimaging methods for investigating the activity of the human brain during cognitive tasks. As with many other neuroimaging tools, the group analysis of fMRI data often requires a transformation of the individual datasets to a common stereotaxic space, where the different brains have a similar global shape and size. Howe...

A statistical parameter map of fMRI group analyses relies on the assumptions of the General Linear Model (GLM). The assumptions at the single subject level are that the noise is stationary and unbiased for every voxel of every subject. In the mixed level model, the group level GLM assumes that all subjects are drawn randomly from a population, and that the estimates brought up from the single s...

A number of diffusion models have been proposed to overcome the limitations of diffusion tensor imaging (DTI) which cannot represent multiple fascicles with heterogeneous orientations at each voxel. Among them, generative models such as multi-tensor models, CHARMED or NODDI represent each fascicle with a parametric model and are of great interest to characterize and compare white matter propert...

ID: 17988 Title: Improve PTV Dose Distribution by Using Spatial Information in IMRT Optimization Purpose: The spatial distribution of radiation dose within the PTV does have clinical significance. For instance, if hot/cold spots in the PTV cannot be avoided, high doses are preferred to be located in the center, and low doses at the peripheries. However, traditional plan optimization models for ...