Automated Cardiac Volumetric Analysis
نویسندگان
چکیده
منابع مشابه
Automated MRI Volumetric Analysis in Patients with Rasmussen Syndrome.
BACKGROUND AND PURPOSE Rasmussen syndrome, also known as Rasmussen encephalitis, is typically associated with volume loss of the affected hemisphere of the brain. Our aim was to apply automated quantitative volumetric MR imaging analyses to patients diagnosed with Rasmussen encephalitis, to determine the predictive value of lobar volumetric measures and to assess regional atrophy differences as...
متن کاملConvenient automated conductance volumetric system.
Conventional conductance volumetric systems require ex-vivo calibrations for blood conductivity and parallel conductance. It is often impractical to repeat blood sampling and hypertonic saline infusion for these calibrations. To overcome these limitations, we developed a useful, self-calibrating conductance volumetric system that does not require ex-vivo calibrations. On a conventional 6-electr...
متن کاملAnalysis of volumetric cardiac CT and MR image data
A variety of imaging modalities can be used to determine structural, functional and perfusion characteristics of the heart [1]. Ideally, a thorough cardiac evaluation should meet the following clinical requirements: First, provide high spatial resolution images for the assessment of anatomical structures. Second, detect and quantify stenotic, calcified and non-calcified lesions in the coronary ...
متن کاملAutomated Quantitative Analysis of Cardiac Medical Images
OF THE DISSERTATION Automated Quantitative Analysis of Cardiac Medical Images by Xiaowei Ding Doctor of Philosophy in Computer Science University of California, Los Angeles, 2015 Professor Demetri Terzopoulos, Chair Clinical medicine often demands the quantitative analysis of medical images. This has traditionally been accomplished through the careful manual tracing and labeling of imaged anato...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: JACC: Cardiovascular Imaging
سال: 2016
ISSN: 1936-878X
DOI: 10.1016/j.jcmg.2016.01.023