Abstract
Systems as diverse as brain or genetic networks are best described as networks with complex topology. A common topological property of many large networks is that the network connectivity generated by a few influential nodes follow a scale-free distribution. The scale-free (power-law) distribution is given by the probability that one vertex in the network interacts withother vertices decays as a power law, following

Abstract
Modern medical diagnosis and treatment heavily rely on the imaging modality. In the field of medical physics, different imaging modalities, particularly those that utilize electromagnetic waves, are thoroughly studied. X-rays are commonly used and its applications vary extensively based on the complexity of the target volume to give 2D and 3D images. 3-dimensional images are easily rendered using Computed Tomography (CT) scan. The data of which can be integrated with Positron Emission Tomography (PET) and Single-Photon Emission Computed Tomography (SPECT) for better tumor localization and cancer prognosis.
Advancements in radiotherapy allow the medical physicists to target and treat the tumor volume more accurately. However, contouring the actual body part still highly depends on the image quality. Various image quality enhancements can be done through the modification virtual and physical parameters of data acquisition. Image reconstruction can be analytic or iterative. Both methods utilize algorithms, commonly the Fourier Transform in 1 and 2 dimensions. Mathematical computation and strategic estimation have considerable effects on the reconstructed image.
The CT information can be further differentiated to isolate a chosen part and to export data for 3D printing.This permits customized treatment accessories which can improve radiation dose delivery to patients. The utilization of the image data to 3D print a treatment accessory or replicate an anatomical part is not only useful for radiation oncology, but extends to biomedical engineering and other allied sciences.