Initial clinical evaluation of image fusion based on rigid registration and supporting percutaneous liver tumor ablation

Spińczyk, Dominik; Stronczek, Marcin; Badura, Aleksandra; Sperka, Piotr; Krywalska, Dorota; Wolinska, Anna; Krasoń, Agata; Fabian, Sylwester; Bas, Mateusz; Woloshuk, Andre; Żyłkowski, Jarosław; Rosiak, Grzegorz; Konecki, Dariusz; Milczarek, Krzysztof; Rowiński, Olgierd; Piętka, Ewa

doi:10.1016/j.bbe.2020.07.005

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…Once a personalized model of the patient’s anatomy has been created, the surgeon can progress to the second stage of planning the procedure, including selecting which therapeutic techniques are most appropriate. The most important and most difficult stage from the point of view of the procedure’s effectiveness is the operative support stage, during which the pre-operative anatomical model of the patient is correlated with the patient’s position during the procedure [ 3 , 6 ]. At this stage, there may be local organ deformities that the static pre-operative model has not captured but are necessary to take into account during the procedure.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Respiratory Motion to Support the Minimally Invasive Destruction of Liver Tumors

Spińczyk

Fabian

Król

2022

Sensors

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Objective: Respiratory movements are a significant factor that may hinder the use of image navigation systems during minimally invasive procedures used to destroy focal lesions in the liver. This article aims to present a method of estimating the displacement of the target point due to respiratory movements during the procedure, working in real time. Method: The real-time method using skin markers and non-rigid registration algorithms has been implemented and tested for various classes of transformation. The method was validated using clinical data from 21 patients diagnosed with liver tumors. For each patient, each marker was treated as a target and the remaining markers as target position predictors, resulting in 162 configurations and 1095 respiratory cycles analyzed. In addition, the possibility of estimating the respiratory phase signal directly from intraoperative US images and the possibility of synchronization with the 4D CT respiratory sequence are also presented, based on ten patients. Results: The median value of the target registration error (TRE) was 3.47 for the non-rigid registration method using the combination of rigid transformation and elastic body spline curves, and an adaptation of the assessing quality using image registration circuits (AQUIRC) method. The average maximum distance was 3.4 (minimum: 1.6, maximum 6.8) mm. Conclusions: The proposed method obtained promising real-time TRE values. It also allowed for the estimation of the TRE at a given geometric margin level to determine the estimated target position. Directions for further quantitative research and the practical possibility of combining both methods are also presented.

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Section: Introductionmentioning

confidence: 99%

Modeling of Respiratory Motion to Support the Minimally Invasive Destruction of Liver Tumors

Spińczyk

Fabian

Król

2022

Sensors

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Towards overcoming barriers to the clinical deployment of mixed reality image-guided navigation systems supporting percutaneous ablation of liver focal lesions

Spinczyk,

Rosiak,

Milczarek

et al. 2024

Virtual Reality

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In recent years, we have observed a rise in the popularity of minimally invasive procedures for treating liver tumours, with percutaneous thermoablation being one of them, conducted using image-guided navigation systems with mixed reality technology. However, the application of this method requires adequate training in using the employed system. In our study, we assessed which skills pose the greatest challenges in performing such procedures. The article proposes a training module characterized by an innovative approach: the possibility of practicing the diagnosis, planning, execution stages and the physical possibility of performing the execution stage on the radiological phantom of the abdominal cavity. The proposed approach was evaluated by designing a set of 4 exercises corresponding to the 3 phases mentioned. To the research group included 10 radiologists and 5 residents in the study. Based on 20 clinical cases of liver tumors subjected to percutaneous thermoablation, we developed assessment tasks evaluating four skill categories: head-mounted display (HMD), ultrasound (US)/computed tomography (CT) image fusion interpretation, tracking system use, and the ability to insert a needle. The results were presented using the Likert scale. The results of our study indicate that the most challenging aspect for radiology specialists is adapting to HMD gesture control, while residents point to intraoperative images of fusion and respiratory movements in the liver as the most problematic. In terms of improving the ability to perform procedures on new patients, the module also allows you to create a new hologram for a different clinical case.

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Measuring Respiratory Motion for Supporting the Minimally Invasive Destruction of Liver Tumors

Spińczyk¹

2022

Sensors

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Objective: Destroying liver tumors is a challenge for contemporary interventional radiology. The aim of this work is to compare different techniques used for the measurement of respiratory motion, as this is the main hurdle to the effective implementation of this therapy. Methods: Laparoscopic stereoscopic reconstruction of point displacements on the surface of the liver, observation of breathing using external markers placed on the surface of the abdominal cavity, and methods for registration of the surface of the abdominal cavity during breathing were implemented and evaluated. Results: The following accuracies were obtained: above 4 mm and 0.5 mm, and below 8 mm for laparoscopic, skin markers, and skin surface registration methods, respectively. Conclusions: The clinical techniques and accompanying imaging modalities employed to destroy liver tumors, as well as the advantages and limitations of the proposed methods, are presented. Further directions for their development are also indicated.

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Initial clinical evaluation of image fusion based on rigid registration and supporting percutaneous liver tumor ablation

Cited by 3 publications

References 34 publications

Modeling of Respiratory Motion to Support the Minimally Invasive Destruction of Liver Tumors

Modeling of Respiratory Motion to Support the Minimally Invasive Destruction of Liver Tumors

Towards overcoming barriers to the clinical deployment of mixed reality image-guided navigation systems supporting percutaneous ablation of liver focal lesions

Measuring Respiratory Motion for Supporting the Minimally Invasive Destruction of Liver Tumors

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