MIAPS: A web-based system for remotely accessing and presenting medical images

Medical high-resolution image sharing and electronic whiteboard system: A pure-web-based system for accessing and discussing lossless original images in telemedicine

“…In addition, we have done a comparative analysis with similar studies [13,[15][16][17]25,27]. It is very important to transmit data at bandwidth as low as possible while maintaining the original image quality on the Internet.…”

“…These conditions include fixed window-level value and window-zooming value to match certain types of diseases and pictures, multifarious self-adaptive window algorithms to present the key information, and manually adjustable window user-interface (UI) for bridle-wise clinicians who can get a nearly unanimous effect of diagnosis compared to the professional radiology screen. This is also the foundation of many web or remote applications [13][14][15]17,18]. The system has also designed a UI to let users choose above conditions to browse images freely with adjustable parameters of window-level rescale [31], and we will constantly improve the UI according to users' advice.…”

“…On the other hand, because ROI real-time processing, progressive transmission, decoding and reconstruction all need to take up a certain amount of computing resource, if all of the computing focus is on the server side, a large-scale application to the server load maybe a problem [19]. Here, Shen et al [17] adopted tile-based transmission to solve redundant transmissions for each fixed scaling resolution, and Lien et al [18] further reduced the complexity of computing by prestoring tiles according to a basic tile-pyramid without using JPEG2000. Since a household display device with limited size and colors cannot display all the information while focusing on the image details, our study is built on the basis of solution 3, using the idea of tile-based on-demand transmission, to keep lossless large image transmission.…”

“…Since a household display device with limited size and colors cannot display all the information while focusing on the image details, our study is built on the basis of solution 3, using the idea of tile-based on-demand transmission, to keep lossless large image transmission. However, [17,18] only supported a 4× ratio zooming which was limited by basic tile-pyramid model, which is also the ideal scaling factor of JPEG2000 [20,21]. While 4× ratio zooming does not affect users reading extreme HRIs such as satellite images and microscope images [18,23,24], in practice it may be not convenient to read medical HRIs with such resolutions as 3004 × 2480.…”

“…This way may get a risk of losing important information [12,13], or catch a complex process that client needs to be customized for special decoding and reconstruction software. (3) Using new network interactive technologies to change the whole transmission into on-demand transmission [13][14][15][16][17][18]. For example, [13][14][15][16] used JPEG2000, which has been included in DICOM supplement [22] and has very good network transmission characteristics, including Region of Interest (ROI), progressivity and scalability.…”