[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-04-03。"],[[["This page details best practices for optimizing performance when working with DICOM data in the Cloud Healthcare API, focusing on improving frames per second (FPS) in medical imaging viewers."],["Sending requests concurrently can significantly improve FPS, with an example showing an increase from 30 FPS to 60 FPS when increasing concurrent requests from six to 20 under specific conditions."],["The `retrieveStudy` and `retrieveSeries` methods allow for the efficient retrieval of multiple DICOM files in a single request, matching the performance of optimal concurrent requests under certain conditions."],["For web viewers, the default limit on concurrent connections in browsers can be bypassed with HTTP/2, and tools like Cornerstone.js allow customization of maximum concurrent requests for optimized performance."],["Utilizing web workers can enhance concurrency in JavaScript environments, potentially doubling a viewer's FPS by processing DICOM images and HTTP requests in separate threads."]]],[]]