Automatic initialization and quality control of large-scale cardiac MRI segmentations

Medical Image Analysis
Xènia AlbàAlejandro F Frangi

Abstract

Continuous advances in imaging technologies enable ever more comprehensive phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs has resulted in widespread use of imaging in large clinical trials and population imaging studies. Magnetic Resonance Imaging (MRI), in particular, offers one-stop-shop multidimensional biomarkers of cardiovascular physiology and pathology. A wide range of analysis methods offer sophisticated cardiac image assessment and quantification for clinical and research studies. However, most methods have only been evaluated on relatively small databases often not accessible for open and fair benchmarking. Consequently, published performance indices are not directly comparable across studies and their translation and scalability to large clinical trials or population imaging cohorts is uncertain. Most existing techniques still rely on considerable manual intervention for the initialization and quality control of the segmentation process, becoming prohibitive when dealing with thousands of images. The contributions of this paper are three-fold. First, we propose a fully automatic method for initializing cardiac MRI segmentation, by using image features and random forests regression...Continue Reading

Citations

Jul 6, 2020·Scientific Reports·Chung-Feng Jeffrey KuoShao-Cheng Liu
Aug 28, 2020·Frontiers in Cardiovascular Medicine·Karim LekadirSteffen E Petersen
Jul 28, 2020·Frontiers in Cardiovascular Medicine·Chen ChenDaniel Rueckert
Dec 12, 2020·Scientific Reports·Jörg SanderIvana Išgum
Mar 14, 2021·Nature Reviews. Cardiology·Maxime SermesantNicholas Ayache
Jun 12, 2021·Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)·Junhao WuZiyu Gan
Aug 30, 2021·Medical Image Analysis·Joris FournelBadih Ghattas

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