Automatic determination of differential coronary artery motion minima for cardiac computed tomography optimal phase selection.

Abstract:

RATIONALE AND OBJECTIVES:Selecting the optimal phase for coronary artery evaluation can be challenging, especially at higher heart rates, given that the optimal phase may differ for each of the coronary arteries. This study aimed to evaluate a novel vessel-specific algorithm which automatically outputs the minimum motion phase per coronary artery. MATERIALS AND METHODS:The study included 44 patients who underwent 256-slice cardiac computed tomography for evaluation of chest pain. End-systolic and mid-diastolic minimal motion phases were automatically calculated by a previously validated global motion algorithm and by a new vessel-specific algorithm which calculates the minimum motion for each of the three main coronary arteries, separately. Two readers blindly evaluated all coronary segments for image quality. Median scores per coronary artery were compared by the Wilcoxon signed rank test. RESULTS:The variation, per patient, between the optimal phases of the three coronary arteries was 5.0 ± 4.5% (1%-22%) for end systole and 4.8 ± 4.1% (0%-19%) for mid diastole. The mean image quality scores per coronary artery were 4.0 ± 0.61 for the vessel-specific approach and 3.80 ± 0.69 for the global phase selection (P < .001). Overall, 46 of 122 arteries had a better score with the vessel-specific approach and five with the standard global approach. Interreader agreement was substantial (k = 0.72). CONCLUSIONS:This study has shown that multiple phases are required to ensure optimal image quality for all three coronary arteries and that a vessel-specific phase selection algorithm achieves superior results to the standard global approach.

journal_name

Acad Radiol

journal_title

Academic radiology

authors

Lessick J,Klass O,Wuchenauer S,Walker MJ,Schmitt H,Peters J,Weese J,Brunner H,Vembar M,Grass M,Aronson D,Hoffmann MH

doi

10.1016/j.acra.2015.01.013

subject

Has Abstract

pub_date

2015-06-01 00:00:00

pages

697-703

issue

6

eissn

1076-6332

issn

1878-4046

pii

S1076-6332(15)00049-5

journal_volume

22

pub_type

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