Published 1988 | Version v1
Book

Volume calculation from limited number of MR imaging sections

Description

Magnetic resonance imaging is an accurate and noninvasive way to obtain cardiac geometrical information. For the quantification of left ventricular dynamic parameters, sections are taken along the long axis of the ventricle. Due to the limited number of sections that can be obtained in a reasonable amount of scanning time, the estimation of longitudinal dimension is usually the cause of error in volume calculation. The starting and ending sections are best estimated by guidance of the short axis cuts. This can only guarantee first-order accuracy. Simpson's rule for summation of areas to calculate volume, which is the commonly used method, assumes an accurate knowledge of the starting and ending points of integration. When this assumption is not perfectly met, Simpson's rule tends to unsystemically over- or underestimate the true volume. Due to this concern, some researchers adopt the images from the short axis cut to aid the volume calculation. This can improve the accuracy, but makes the already long scanning time longer. The authors have derived a method of extrapolation and intrapolation based on no more information than usually available to correct the volume over- or underestimated by the Simpson's rule

Additional details

Publishing Information

Publisher
Radiological Society of North America Inc.
Imprint Place
Oak Brook, IL (USA)
Imprint Title
Radiological Society of North America 74th scientific assembly and annual meeting (Abstracts)
Imprint Pagination
395 p.
Journal Page Range
p. 323.

Conference

Title
74. scientific assembly and annual meeting of the Radiological Society of North America (RSNA).
Dates
27 Nov - 2 Dec 1988.
Place
Chicago, IL (USA).

INIS

Country of Publication
United States
Country of Input or Organization
United States
INIS RN
21006968
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE; S99: GENERAL AND MISCELLANEOUS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ALGORITHMS; DOGS; EXTRAPOLATION; GEOMETRY; HEART; HYPERTROPHY; IMAGE PROCESSING; NMR IMAGING; RESEARCH PROGRAMS
Descriptors DEC
ANIMALS; BODY; CARDIOVASCULAR SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; MAMMALS; MATHEMATICS; NUMERICAL SOLUTION; ORGANS; PATHOLOGICAL CHANGES; VERTEBRATES

Optional Information

Secondary number(s)
CONF-8811134--.