Radiology Informatics : Image Processing In Pacs-Lung Cancer Detection in CT Images

<p>In this Paper, I will do Image Processing Techniques in DICOM Images acquired from the PACS Server and by utilizing KNN and SVM Algorithm and I will utilize a prescient strategy to examine the disarranges of any patient by contrasting the prior datasets of same methodology and Predict the turmoil of the patient, which will diminish the time taken to break down any DICOM pictures. Mix of RIS and PACS administrations into a solitary arrangement has turned into a broad reality in day by day radiological work on, permitting significant increasing speed of work process without any difficulty of work contrasted and more seasoned age film-based radiological movement. Specifically, the quick and stupendous late development of computerized radiology (with unique reference to cross-sectional imaging modalities, for example, CT and MRI) has been paralleled by the improvement of incorporated RIS– PACS frameworks with cutting edge picture preparing devices (either two-and additionally three-dimensional) that were a restrictive undertaking of expensive devoted workstations until a couple of years prior. This new situation is probably going to additionally enhance profitability in the radiology division with decrease of the time required for picture translation and revealing, and also to cut expenses for the buy of devoted independent picture handling workstations. In this paper, a general depiction of common incorporated RIS– PACS design with picture preparing capacities will be given, and the primary accessible picture handling devices will be delineated. The most well-known kind of malignancy is Lung Cancer. The demise rate is higher in this kind of growth, which can be lessened, if found in its before stages. The Lung Cancer can be recognized utilizing picture preparing strategies on the CT pictures of the Chest of a patient. In this Paper, I will utilize the CT pictures of the Chest to distinguish Lung Cancer by decreasing the clamor of the picture and changing over it to grayscale and after that utilization water shed calculation to identify lung disease.</p>

Implementasi Picture Archiving and Communication System (PACS) dan Radiology Information System (RIS) di RSUP Dr. Sardjito Yogyakarta

Picture Archiving and Communication System (PACS) is an inter-and intra-institution computing system that manages the acquisition, transmission, storage, distribution, display, and interpretation of medical images. Advances in radiology informatics to date, including the integration of PACS and Radiology Information System (RIS) to department work?ow, has done much to improve the efciency of the department. PACS component includes image acquisition modality, network system, archiving system, image viewer system, radiology information system, and remote access. Acceptance testing is an important thing to be done before a user entirely accepts PACS and RIS system in a daily radiology practice.The purpose of this article is to deliver an important specifcation and the desired options and features of modern PACS, related to acquisition, archives and display system; connectivity of Radiology Information System (RIS); and distribution of images inside and outside the hospital. Some major practical issues that must be considered in the implementation of PACS and RIS will also be discussed. In addition, it will also discuss the process of implementation of PACS and RIS at Dr. Sardjito Hospital