Literature DB >> 30063028

Quantification of nonrigid liver deformation in radiofrequency ablation interventions using image registration.

Ha Manh Luu1, Adriaan Moelker, Stefan Klein, Wiro Niessen, Theo van Walsum.   

Abstract

Multimodal image fusion for image guidance in minimally invasive liver interventions generally requires the registration of pre-operatively acquired images with interventional images of the patient. Whereas rigid registration approaches are fast and can be used in an interventional setting, the actual liver deformation may be nonrigid. The purpose of this paper is to assess the magnitude of nonrigid deformation of the liver between pre-operative and interventional CT images in the case of tumor ablations, over the full liver and over parts of the liver that match the volumes typically imaged by a 3D ultrasound transducer. We acquired 3D abdominal CT scans of 38 patients that had undergone the radiofrequency ablation of liver tumors, pre-operative CT images as well as intraoperative CT images. To determine the magnitude of liver deformation due to pose changes and respiration, we nonrigidly registered the pre-operative CT scan with the intraoperative CT scan. By fitting the deformation to a rigid transformation in the region of interest and computing the residual displacements, the nonrigid deformation part can be quantified. We performed quantifications over the complete liver, as well as for two volumes of interest representative of sub-xiphoidal and intercostal 3D ultrasound acquisitions. The results showed that a substantial amount of nonrigid deformation was found, and rotation of the patient's pose and deep inhalation caused significant liver deformation. Hence we concluded that nonrigid motion correction in the interventions should be taken into account.

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Year:  2018        PMID: 30063028     DOI: 10.1088/1361-6560/aad706

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Landmark tracking in 4D ultrasound using generalized representation learning.

Authors:  Daniel Wulff; Jannis Hagenah; Floris Ernst
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-10-15       Impact factor: 3.421

2.  Immunofluorescence Assay of Ablated Colorectal Liver Metastases: The Frozen Section of Image-Guided Tumor Ablation?

Authors:  Nikiforos Vasiniotis Kamarinos; Efsevia Vakiani; Sho Fujisawa; Mithat Gonen; Ning Fan; Yevgeniy Romin; Richard K G Do; Etay Ziv; Joseph P Erinjeri; Elena N Petre; Vlasios S Sotirchos; Juan C Camacho; Stephen B Solomon; Katia Manova-Todorova; Constantinos T Sofocleous
Journal:  J Vasc Interv Radiol       Date:  2021-11-17       Impact factor: 3.682

3.  Stereotactic navigation versus ultrasound guidance in placing IRE applicators in a liver phantom.

Authors:  David Stillström; Benjamin Eigl; Jacob Freedman
Journal:  Sci Rep       Date:  2021-10-26       Impact factor: 4.379

4.  Biopsy and Margins Optimize Outcomes after Thermal Ablation of Colorectal Liver Metastases.

Authors:  Nikiforos Vasiniotis Kamarinos; Efsevia Vakiani; Mithat Gonen; Nancy E Kemeny; Carlie Sigel; Leonard B Saltz; Karen T Brown; Anne M Covey; Joseph P Erinjeri; Lynn A Brody; Etay Ziv; Hooman Yarmohammadi; Henry Kunin; Afsar Barlas; Elena N Petre; Peter T Kingham; Michael I D'Angelica; Katia Manova-Todorova; Stephen B Solomon; Constantinos T Sofocleous
Journal:  Cancers (Basel)       Date:  2022-01-29       Impact factor: 6.639

  4 in total

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