Influences of ultrasonic machine settings, transducer frequency and placement of region of interest on the measurement of integrated backscatter and cyclic variation

1997 ◽  
Vol 23 (7) ◽  
pp. 1059-1070 ◽  
Author(s):  
Takahiro Ota ◽  
Damian M. Craig ◽  
Joseph Kisslo
2000 ◽  
Vol 13 (1) ◽  
pp. 0009-0017 ◽  
Author(s):  
Ann E. Finch-Johnston ◽  
Hiie M. Gussak ◽  
Joel M. Mobley ◽  
Mark R. Holland ◽  
Olivera R. Petrovic ◽  
...  

2000 ◽  
Vol 18 ◽  
pp. S70-S71
Author(s):  
V. Di Bello ◽  
R. Pedrinelli ◽  
A. Bertini ◽  
D. Giorgi ◽  
A. Cioppi ◽  
...  

1994 ◽  
Vol 18 (2) ◽  
pp. 185-208 ◽  
Author(s):  
Steven P. McLaughlin

Floristic plant geography is concerned with narrow timescales, narrow to broad spatial scales and entire floras. A major objective is the identification and classification of floristic areas and floristic elements. The spatial scale of plant geography can be divided into three segments: microregional, mesoregional and macroregional. Microregional areas are those included within the boundaries of a single traditionally defined floristic province; mesoregional areas include entire floristic provinces or span the boundaries of two adjacent floristic provinces; and macroregional areas include several floristic provinces. At the microregional scale, species distributions appear as a continuum. The pattern of floristic areas and floristic elements is an emergent one found at macroregional scales. Methods for developing floristic classifications include qualitative modifica tions of previous classifications, visually inspecting and sorting range maps of taxa, and the use of complex numerical techniques requiring computer analyses. These numerical analyses require a database consisting of thorough, accurate lists of all (or selected) species present within various OGUs - subdivisions of or samples (local floras) from the region of interest. A matrix of association among OGUs - similarity, dissimilarity or distance - can be analysed by one or more techniques for clustering and ordination. Historical biogeographies, including vicariance biogeography and panbiogeography, are based on the assumption that most species are relatively old. It is likely, however, that major extinctions and speciation events have reshaped the world's flora every 20 000 to 100 000 years in response to cyclic variation in the earth's orbit. Floristic plant geography, with its detailed evaluation of modem patterns and whole floras, has thus much to contribute to a general understanding of biogeographic processes.


1999 ◽  
Vol 19 (3) ◽  
pp. 200-200 ◽  
Author(s):  
Janerot-Sjöberg ◽  
N. von Schmalensee ◽  
Schreckenberger ◽  
Voigt ◽  
Wilkenshoff ◽  
...  

1997 ◽  
Vol 23 (3) ◽  
pp. 405-414 ◽  
Author(s):  
Anton F.W. van der Steen ◽  
Hans Rijsterborgh ◽  
Charles T. Lancée ◽  
Frits Mastik ◽  
Rob Krams ◽  
...  

1989 ◽  
Vol 11 (4) ◽  
pp. 245-259 ◽  
Author(s):  
G. A. Mohr ◽  
Zvi Vered ◽  
Benico Barzilai ◽  
Julio E. Perez ◽  
Burton E. Sobel ◽  
...  

An algorithm for quantitative description of cardiac cycle dependent variation of integrated backscatter (cyclic variation) has been developed and is shown to be suitable for analysis of nonsinusoidal data typical of ultrasonic tissue characterization measurements from myocardium in vivo. The algorithm produces estimates of the magnitude of variation and of the time delay relative to the the electrocardiographically recorded QRS-complex. To validate the algorithm, 246 integrated backscatter measurements were analyzed both manually and by the automated method. The magnitude and time delay estimates from the two methods correlated closely. With a separate set of data, the algorithm produced reasonable descriptions of the cyclic variation for 89 of 101 integrated backscatter measurements. Only modest computational power is required for effective implementation of this algorithm, facilitating inclusion of online automated analysis capabilities in quantitative ultrasonic tissue characterization systems.


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