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A COMPARATIVE-STUDY OF 3 FAST ALGORITHMS TO ESTIMATE CEREBRAL BLOOD-FLOW AND DISTRIBUTION VOLUME USING N-ISOPROPYL-P-[I-123]IODOAMPHETAMINE AND 2 SPECT SCANS
Tekijät: YOKOI T, IIDA H, KANNO I
Kustantaja: IOP PUBLISHING LTD
Julkaisuvuosi: 1995
Journal: Physics in Medicine and Biology
Tietokannassa oleva lehden nimi: PHYSICS IN MEDICINE AND BIOLOGY
Lehden akronyymi: PHYS MED BIOL
Vuosikerta: 40
Numero: 9
Aloitussivu: 1499
Lopetussivu: 1515
Sivujen määrä: 17
ISSN: 0031-9155
DOI: https://doi.org/10.1088/0031-9155/40/9/009
Tiivistelmä
To estimate regional cerebral blood Bow (rCBF) and distribution volume (V-d) using N-isopropyl-p-[I-123]iodomphetamine (IMP) and two SPECT data (early and delayed data) measured at two discrete time points, three fast algorithms are implemented, which are the table look-up method (TLU), the linear least-squares fitting method (LLSF), and the linear search method (LS). A two-compartment model was used as the IMP kinetic model. These algorithms were applied to the early and delayed data measured by the two scan protocols, t(1) = 12 min, t(2) = 54 min (scan A) and t(1) = 12 min, 12 = 85 min (scan B). The estimated rCBF and V-d values using the present three algorithms were in good agreement with those using the nonlinear least-squares fitting technique and dynamic SPECT data. The quantitative value and signal to noise (S/N) ratio of rCBF images by TLU was not changed whether scan A or scan B was used. However, the S/N of the V-d image by TLU using scan B improved over that using scan A. The same tendency was observed in the results of LLSF and LS. The CPU times for the parametric imaging of CBF and V-d images for one slice (64 x 64 matrix) were 0.04, 0.09, and 0.14 s using TLU, LLSF, and LS, respectively. In conclusion, the present three algorithms gave reasonably accurate estimates of rCBF and V-d using two SPECT data, and are well suited for parametric imaging because of their good statistical properties and high computational efficiency.
To estimate regional cerebral blood Bow (rCBF) and distribution volume (V-d) using N-isopropyl-p-[I-123]iodomphetamine (IMP) and two SPECT data (early and delayed data) measured at two discrete time points, three fast algorithms are implemented, which are the table look-up method (TLU), the linear least-squares fitting method (LLSF), and the linear search method (LS). A two-compartment model was used as the IMP kinetic model. These algorithms were applied to the early and delayed data measured by the two scan protocols, t(1) = 12 min, t(2) = 54 min (scan A) and t(1) = 12 min, 12 = 85 min (scan B). The estimated rCBF and V-d values using the present three algorithms were in good agreement with those using the nonlinear least-squares fitting technique and dynamic SPECT data. The quantitative value and signal to noise (S/N) ratio of rCBF images by TLU was not changed whether scan A or scan B was used. However, the S/N of the V-d image by TLU using scan B improved over that using scan A. The same tendency was observed in the results of LLSF and LS. The CPU times for the parametric imaging of CBF and V-d images for one slice (64 x 64 matrix) were 0.04, 0.09, and 0.14 s using TLU, LLSF, and LS, respectively. In conclusion, the present three algorithms gave reasonably accurate estimates of rCBF and V-d using two SPECT data, and are well suited for parametric imaging because of their good statistical properties and high computational efficiency.
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