M3VR—A multi-stage, multi-resolution, and multi-volumes-of-interest volume registration method applied to 3D endovaginal ultrasound


Autoři: Qi Xing aff001;  Parag Chitnis aff003;  Siddhartha Sikdar aff003;  Jonia Alshiek aff004;  S. Abbas Shobeiri aff003;  Qi Wei aff003
Působiště autorů: Department of Computer Science, George Mason University, Fairfax, Virginia, United States of America aff001;  The School of Information Science and Technology, Southwest Jiaotong University, Sichuan, China aff002;  Department of Bioengineering, George Mason University, Fairfax, Virginia, United States of America aff003;  Department of Obstetrics & Gynecology, INOVA Health System, Falls Church, Virginia, United States of America aff004
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
doi: 10.1371/journal.pone.0224583

Souhrn

Heterogeneity of echo-texture and lack of sharply delineated tissue boundaries in diagnostic ultrasound images make three-dimensional (3D) registration challenging, especially when the volumes to be registered are considerably different due to local changes. We implemented a novel computational method that optimally registers volumetric ultrasound image data containing significant and local anatomical differences. It is A Multi-stage, Multi-resolution, and Multi-volumes-of-interest Volume Registration Method. A single region registration is optimized first for a close initial alignment to avoid convergence to a locally optimal solution. Multiple sub-volumes of interest can then be selected as target alignment regions to achieve confident consistency across the volume. Finally, a multi-resolution rigid registration is performed on these sub-volumes associated with different weights in the cost function. We applied the method on 3D endovaginal ultrasound image data acquired from patients during biopsy procedure of the pelvic floor muscle. Systematic assessment of our proposed method through cross validation demonstrated its accuracy and robustness. The algorithm can also be applied on medical imaging data of other modalities for which the traditional rigid registration methods would fail.

Klíčová slova:

Biopsy – Bone imaging – Imaging techniques – Magnetic resonance imaging – Mathematical functions – Musculoskeletal injury – Ultrasound imaging


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PLOS One


2019 Číslo 11