عنوان

Automated Quantitative Analysis of Cardiac Medical Images

شماره

TL4tr1s8cr

زبان متن نوشتاري يا گفتاري و مانند آن

انگلیسی

عنوان اصلي

Automated Quantitative Analysis of Cardiac Medical Images

نام عام مواد

[Thesis]

نام نخستين پديدآور

Ding, Xiaowei

نام ساير پديدآوران

Terzopoulos, Demetri

تاریخ نشرو بخش و غیره

2015

کسي که مدرک را اعطا کرده

Terzopoulos, Demetri

امتياز متن

2015

متن يادداشت

Studies in clinical medicine often demand the quantitative analysis of medical images. These tasks need careful and time-consuming tracing and labeling on fine image structures, cost expensive medical expert labor and often suffer from low reproducibility. We present a collection of methods that quantify important parameters from cardiac computed tomography (CT) and magnetic resonance imaging (MRI) in a fully-automated mode. We first present atlas-based segmentation, active contours models and graph-based segmentation which are components in our novel framework. We then present our algorithms for automated quantification of epicardial fat volume (EFV) from non-contrast cardiac CT, automated pericardial fat volume (PFV) quantification from water\/fat-resolved whole-heart non-contrast coronary magnetic resonance angiography (MRA) and automated coronary calcium scoring (CCS) from non-contrast cardiac CT images. Algorithm quantification results are validated on test scans with ground truth annotated by expert radiologists. Our approaches may potentially be applied in a clinical setting, allowing for accurate quantification of EFV, PFV and CCS without tedious manual tracing.

مستند نام اشخاص تاييد نشده

Grancich, Daniyel Danica

مستند نام اشخاص تاييد نشده

Ding, Xiaowei

مستند نام تنالگان تاييد نشده

UCLA

نام الکترونيکي

فرمت انتشار

p

نوع ماده

[Thesis]

کد کاربرگه

276903

سطح دسترسي

a

تكميل شده

Y