Systems and methods for determining a region of interest in medical imaging
作者： Cao Jianhui , Zhang Lei
DOI:
关键词: Medical imaging 、 Position (vector) 、 Region of interest 、 Artificial intelligence 、 Subject (documents) 、 Computer vision 、 Body contour 、 Position sensor 、 3d model 、 Computer science
摘要: A method for determining an ROI in medical imaging may include receiving first position information related to a body contour of subject with respect support from flexible device configured plurality sensors. The be conform the subject, and subject. also generating 3D model based on information. further
lens.org 参考文章(29)
Stefan Schuster, Christine Niebler, Stefan Sattler, Method for controlling the movement of an x-ray apparatus and x-ray system ,(2012)
Tae-Yong Song, Byung-kwan Park, Jae-mock Yi, Method and apparatus for generating image ,(2013)
Ferenc Kovacs, Tamas Blaskovics, Andras Kriston, Methods and systems for determining a transformation function to automatically register different modality medical images ,(2012)
David Thivierge-gaulin, Atilla Peter Kiraly, Chen-Rui Chou, Christophe Chefd'hotel, 2d/3d image registration method ,(2012)
Krishna Sandeep Bhimavarapu, Richard A. Derenne, Joshua Elmer Mix, Joseph E. Mroz, Santoshkumar Balakrishnan, Sean Daugherty, Edward C. Kline, Xianyu Shea, Sensing system for patient supports ,(2012)
Cyrus Bamji, Cmos-compatible three-dimensional image sensor ic ,(2000)
Beau Anthony Standish, Victor Xiao Dong Yang, Adrian Linus Dinesh Mariampillai, Michael Ka Kit Leung, System and methods for intraoperative guidance feedback ,(2011)
Jr. James E. Hubbard, Patient monitoring system employing array of force sensors on a bedsheet or similar substrate ,(2002)
Tokunori Kimura, Medical image processing apparatus ,(2006)
Jonathan Mark Greenbank, Christopher J. Cummings, Marko N. Kostic, Person support apparatus with position monitoring ,(2015)