BACKGROUND AND PURPOSE: Recently introduced fpVCT scanners can capture volumetric (4D) time-varying projections enabling whole-organ dynamic CTA imaging. The main objective of this study was to assess the temporal resolution of dynamic CTA in discriminating various phases of rapid and slow time-dependent neurovascular pathologies in animal models. MATERIALS AND METHODS: Animal models were created to assess phasic blood flow, subclavian steal phenomena, saccular aneurysms, and neuroperfusion under protocols approved by the SRAC. Animals with progressively increasing heart rate-Macaca sylvanus (~100 bpm), Oryctolagus cuniculus (NZW rabbit) (~150 bpm), Rattus norvegicus (~300 bpm), Mus musculus (~500 bpm)-were imaged to challenge the temporal resolution of the system. FpVCT, a research prototype with a 25 × 25 × 18 cm coverage, was used for dynamic imaging with the gantry rotation time varying from 3 to 5 seconds. Volumetric datasets with 50% temporal overlap were reconstructed; 4D datasets were analyzed by using the Leonardo workstation. RESULTS: Dynamic imaging by using fpVCT was capable of demonstrating the following phenomena: 1) subclavian steal in rabbits (ΔT ≅ 3-4 seconds); 2) arterial, parenchymal, and venous phases of blood flow in mice (ΔT ≅ 2 seconds), rabbits (ΔT ≅ 3-4 seconds), and Macaca sylvanus (ΔT ≅ 3-4 seconds); 3) sequential enhancement of the right and left side of the heart in Macaca sylvanus and white rabbits (ΔT ≅ 2 seconds); and 4) different times of the peak opacification of cervical and intracranial arteries, venous sinuses, and the jugular veins in these animals (smallest, ΔT ≅ 1.5-2 seconds). The perfusion imaging in all animals tested was limited due to the fast transit time through the brain and the low contrast resolution of fpVCT. CONCLUSIONS: Dynamic imaging by using fpVCT can distinguish temporal processes separated by >1.5 seconds. Neurovascular pathologies with a time constant >1.5 seconds can be evaluated noninvasively by using fpVCT.
BACKGROUND AND PURPOSE: Recently introduced fpVCT scanners can capture volumetric (4D) time-varying projections enabling whole-organ dynamic CTA imaging. The main objective of this study was to assess the temporal resolution of dynamic CTA in discriminating various phases of rapid and slow time-dependent neurovascular pathologies in animal models. MATERIALS AND METHODS: Animal models were created to assess phasic blood flow, subclavian steal phenomena, saccular aneurysms, and neuroperfusion under protocols approved by the SRAC. Animals with progressively increasing heart rate-Macaca sylvanus (~100 bpm), Oryctolagus cuniculus (NZW rabbit) (~150 bpm), Rattus norvegicus (~300 bpm), Mus musculus (~500 bpm)-were imaged to challenge the temporal resolution of the system. FpVCT, a research prototype with a 25 × 25 × 18 cm coverage, was used for dynamic imaging with the gantry rotation time varying from 3 to 5 seconds. Volumetric datasets with 50% temporal overlap were reconstructed; 4D datasets were analyzed by using the Leonardo workstation. RESULTS: Dynamic imaging by using fpVCT was capable of demonstrating the following phenomena: 1) subclavian steal in rabbits (ΔT ≅ 3-4 seconds); 2) arterial, parenchymal, and venous phases of blood flow in mice (ΔT ≅ 2 seconds), rabbits (ΔT ≅ 3-4 seconds), and Macaca sylvanus (ΔT ≅ 3-4 seconds); 3) sequential enhancement of the right and left side of the heart in Macaca sylvanus and white rabbits (ΔT ≅ 2 seconds); and 4) different times of the peak opacification of cervical and intracranial arteries, venous sinuses, and the jugular veins in these animals (smallest, ΔT ≅ 1.5-2 seconds). The perfusion imaging in all animals tested was limited due to the fast transit time through the brain and the low contrast resolution of fpVCT. CONCLUSIONS: Dynamic imaging by using fpVCT can distinguish temporal processes separated by >1.5 seconds. Neurovascular pathologies with a time constant >1.5 seconds can be evaluated noninvasively by using fpVCT.
Authors: Z Qian; S Climent; M Maynar; J Usón-Garallo; M A Lima-Rodrigues; C Calles; H Robertson; W R Castañeda-Zúñiga Journal: AJNR Am J Neuroradiol Date: 1999-05 Impact factor: 3.825
Authors: Rajiv Gupta; Michael Grasruck; Christoph Suess; Soenke H Bartling; Bernhard Schmidt; Karl Stierstorfer; Stefan Popescu; Tom Brady; Thomas Flohr Journal: Eur Radiol Date: 2006-03-10 Impact factor: 5.315
Authors: T F Massoud; C Ji; F Viñuela; G Guglielmi; J Robert; G R Duckwiler; Y P Gobin Journal: AJNR Am J Neuroradiol Date: 1994-09 Impact factor: 3.825
Authors: A A De Salles; T D Solberg; P Mischel; T F Massoud; A Plasencia; S Goetsch; E De Souza; F Viñuela Journal: AJNR Am J Neuroradiol Date: 1996-09 Impact factor: 3.825
Authors: Alim P Mitha; Benjamin Reichardt; Michael Grasruck; Eric Macklin; Soenke Bartling; Christianne Leidecker; Bernhard Schmidt; Thomas Flohr; Thomas J Brady; Christopher S Ogilvy; Rajiv Gupta Journal: J Neurosurg Date: 2009-11 Impact factor: 5.115
Authors: Amit Mehndiratta; James D Rabinov; Michael Grasruck; Eric C Liao; David Crandell; Rajiv Gupta Journal: Eur Radiol Date: 2015-02-27 Impact factor: 5.315