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DOI 10.1002/mrm.28623

Медицинская библиотека · Magnetic resonance in medicine · 2020

Semiautomatic cerebrovascular territory mapping based on dynamic ASL MR angiography without vessel-encoded labeling.

Heidari Pahlavian Soroush, Geri Oren, Russin Jonathan, Ma Samantha J, Amar Arun, Wang Danny J J, Ben Bashat Dafna, Yan Lirong

СтатьяПоддержка NIH: внешняя программаПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

PURPOSE: Characterizing vessel territories can provide crucial information for evaluation of cerebrovascular disorders. In this study, we present a novel postprocessing pipeline for vascular territorial imaging of cerebral arteries based on a noncontrast enhanced time-resolved 4D magnetic resonance angiography (MRA).

METHODS

Eight healthy participants, 1 Moyamoya patient, and 1 arteriovenous malformations patient were recruited. Territorial segmentation and relative blood flow rate calculations of cerebral arteries including left and right middle cerebral arteries and left and right posterior cerebral arteries were carried out based on the 4D MRA-derived arterial arrival time maps of intracranial vessels.

RESULTS

Among healthy young subjects, the average relative blood flow rate values corresponding to left and right middle cerebral arteries and left and right posterior cerebral arteries were 35.9 ± 5.9%, 32.9 ± 7.5%, 15.4 ± 3.8%, and 15.9 ± 2.5%, respectively. Excellent agreement was observed between relative blood flow rate values obtained from the proposed 4D MRA-based method and reference 2D phase contrast MRI. Abnormal cerebral circulations were visualized and quantified on both patients using the developed technique.

CONCLUSION

The vascular territorial imaging technique developed in this study allowed for the generation of territorial maps with user-defined level of details within a clinically feasible scan time, and as such may provide useful information to assess cerebral circulation balance in different pathologies.

Для цитирования: Heidari Pahlavian Soroush, Geri Oren, Russin Jonathan, Ma Samantha J, Amar Arun, Wang Danny J J, Ben Bashat Dafna, Yan Lirong. Semiautomatic cerebrovascular territory mapping based on dynamic ASL MR angiography without vessel-encoded labeling.. Magnetic resonance in medicine. 2020. DOI: 10.1002/mrm.28623.

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