Research output: Contribution to journal › Article › peer-review
On a Generalization of Exponential Ray Transform in Tomography. / Derevtsov, E. Yu.
In: Journal of Mathematical Sciences (United States), Vol. 253, No. 3, 03.2021, p. 369-381.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - On a Generalization of Exponential Ray Transform in Tomography
AU - Derevtsov, E. Yu
N1 - Publisher Copyright: © 2021, Springer Science+Business Media, LLC, part of Springer Nature. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/3
Y1 - 2021/3
N2 - We consider the operator of generalized exponential ray transform whose values are the initial data in the emission computer tomography problem. We establish connections between exponential ray transforms of different orders and obtain the differential equations satisfied by the exponential ray transforms. We prove the uniqueness theorems for boundary value and initial-boundary value problems for the corresponding equations We also discuss close connections of generalized exponential ray transforms with integral geometry of tensor fields and tomography problems.
AB - We consider the operator of generalized exponential ray transform whose values are the initial data in the emission computer tomography problem. We establish connections between exponential ray transforms of different orders and obtain the differential equations satisfied by the exponential ray transforms. We prove the uniqueness theorems for boundary value and initial-boundary value problems for the corresponding equations We also discuss close connections of generalized exponential ray transforms with integral geometry of tensor fields and tomography problems.
UR - http://www.scopus.com/inward/record.url?scp=85100607927&partnerID=8YFLogxK
U2 - 10.1007/s10958-021-05235-3
DO - 10.1007/s10958-021-05235-3
M3 - Article
AN - SCOPUS:85100607927
VL - 253
SP - 369
EP - 381
JO - Journal of Mathematical Sciences (United States)
JF - Journal of Mathematical Sciences (United States)
SN - 1072-3374
IS - 3
ER -
ID: 27766890