Zoom imaging for rapid aortic vessel wall imaging and cardiovascular risk assessment

Tarique Hussain, Rachel E. Clough, Marina Cecelja, Marcus Makowski, Sarah Peel, Philip Chowienczyk, Tobias Schaeffter, Gerald Greil, Rene Botnar

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Purpose: To demonstrate the utility of a "reduced field-of-view" (zoom imaging) technique to accelerate free-breathing, ECG-triggered, turbo-spin-echo black-blood sequences, which have been previously described to detect subclinical aortic atherosclerosis. Materials and Methods: Fifteen healthy volunteers underwent MRI of the thoracic and abdominal aorta. Imaging with the conventional full field-of-view sequence was compared with zoom imaging. Total scan time, image quality (i.e., contrast-to-noise ratio and vessel wall sharpness) and vessel wall thickness were analyzed. A subgroup of 10 volunteers also underwent acceleration of imaging using sensitivity encoding (SENSE) for comparison. Results: Zoom imaging significantly reduced imaging time from a mean of 41 ± 9 min (conventional imaging) to 15 ± 0.5 min (P < 0.01). There was no difference in image quality between conventional and zoom imaging with respect to CNR (10.1 ± 6 versus 10.1 ± 6) or vessel wall sharpness (38 ± 4% versus 39 ± 4%). Furthermore, Bland Altman plots showed excellent agreement in vessel wall thickness measurements using the two methods. In comparison, SENSE not only reduced CNR but also resulted in underestimation of vessel wall thickness compared with the conventional sequence. Conclusion: Zoom imaging allows accurate and time-efficient imaging of the abdominal and thoracic aorta for cardiovascular risk prediction. In this application, it is preferable to SENSE.

Original languageEnglish (US)
Pages (from-to)279-285
Number of pages7
JournalJournal of Magnetic Resonance Imaging
Issue number2
StatePublished - Aug 2011


  • aorta
  • atherosclerosis
  • cardiovascular system
  • magnetic resonance imaging
  • risk factors

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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