Three-dimensional Finite-element Based Deformable Image Registration for Evaluation of Pleural Cavity Irradiation During Photodynamic Therapy

Overview

Journal Med Phys

Specialty Biophysics

Date 2017 Apr 21

PMID 28426148

Citations 1

Authors

Rozhin Penjweini

Michele M Kim

Timothy C Zhu

Affiliations

Soon will be listed here.

Abstract

Purpose: Photodynamic therapy (PDT) is used after surgical resection to treat the microscopic disease for malignant pleural mesothelioma and to increase survival rates. As accurate light delivery is imperative to PDT efficacy, the deformation of the pleural volume during the surgery is studied on its impact on the delivered light fluence. In this study, a three-dimensional finite element-based (3D FEM) deformable image registration is proposed to directly match the volume of lung to the volume of pleural cavity obtained during PDT to have accurate representation of the light fluence accumulated in the lung, heart and liver (organs-at-risk) during treatment.

Methods: A wand, comprised of a modified endotrachial tube filled with Intralipid and an optical fiber inside the tube, is used to deliver the treatment light. The position of the treatment is tracked using an optical tracking system with an attachment comprised of nine reflective passive markers that are seen by an infrared camera-based navigation system. This information is used to obtain the surface contours of the plural cavity and the cumulative light fluence on every point of the cavity surface that is being treated. The lung, heart, and liver geometry are also reconstructed from a series of computed tomography (CT) scans of the organs acquired in the same patient before and after the surgery. The contours obtained with the optical tracking system and CTs are imported into COMSOL Multiphysics, where the 3D FEM-based deformable image registration is obtained. The delivered fluence values are assigned to the respective positions (x, y, and z) on the optical tracking contour. The optical tracking contour is considered as the reference, and the CT contours are used as the target, which will be deformed. The data from three patients formed the basis for this study.

Results: The physical correspondence between the CT and optical tracking geometries, taken at different times, from different imaging devices was established using the 3D FEM-based image deformable registration. The volume of lung was matched to the volume of pleural cavity and the distribution of light fluence on the surface of the heart, liver and deformed lung volumes was obtained.

Conclusion: The method used is appropriate for analyzing problems over complicated domains, such as when the domain changes (as in a solid-state reaction with a moving boundary), when the desired precision varies over the entire domain, or when the solution lacks smoothness. Implementing this method in real-time for clinical applications and in situ monitoring of the under- or over- exposed regions to light during PDT can significantly improve the treatment for mesothelioma.

Citing Articles

Infrared navigation system for light dosimetry during pleural photodynamic therapy.

Kim M, Zhu T, Ong Y, Finlay J, Dimofte A, Singhal S Phys Med Biol. 2020; 65(7):075006.

PMID: 32053799 PMC: 8114850. DOI: 10.1088/1361-6560/ab7632.

References

Zhong H, Peters T, Siebers J . FEM-based evaluation of deformable image registration for radiation therapy. Phys Med Biol. 2007; 52(16):4721-38. DOI: 10.1088/0031-9155/52/16/001. View

Zhong H, Kim J, Li H, Nurushev T, Movsas B, Chetty I . A finite element method to correct deformable image registration errors in low-contrast regions. Phys Med Biol. 2012; 57(11):3499-515. PMC: 3360965. DOI: 10.1088/0031-9155/57/11/3499. View

Zhu T, Liang X, Kim M, Finlay J, Dimofte A, Rodriguez C . An IR Navigation System for Pleural PDT. Front Phys. 2015; 3. PMC: 4435962. DOI: 10.3389/fphy.2015.00009. View

Goss S, Johnston R, Dunn F . Compilation of empirical ultrasonic properties of mammalian tissues. II. J Acoust Soc Am. 1980; 68(1):93-108. DOI: 10.1121/1.384509. View

Goss S, Johnston R, Dunn F . Comprehensive compilation of empirical ultrasonic properties of mammalian tissues. J Acoust Soc Am. 1978; 64(2):423-57. DOI: 10.1121/1.382016. View

Dimofte A, Zhu T, Finlay J, Cullighan M, Edmonds C, Friedberg J . Light dosimetry for pleural PDT. Proc SPIE Int Soc Opt Eng. 2015; 7164. PMC: 4409008. DOI: 10.1117/12.809548. View

Rimner A, Rosenzweig K . Novel radiation therapy approaches in malignant pleural mesothelioma. Ann Cardiothorac Surg. 2013; 1(4):457-61. PMC: 3741784. DOI: 10.3978/j.issn.2225-319X.2012.10.07. View

Rigaud B, Simon A, Castelli J, Gobeli M, Ospina Arango J, Cazoulat G . Evaluation of deformable image registration methods for dose monitoring in head and neck radiotherapy. Biomed Res Int. 2015; 2015:726268. PMC: 4339705. DOI: 10.1155/2015/726268. View

Chan M, Chui C, Song Y, Burman C, Yorke E, Della-Biancia C . A novel radiation therapy technique for malignant pleural mesothelioma combining electrons with intensity-modulated photons. Radiother Oncol. 2006; 79(2):218-23. DOI: 10.1016/j.radonc.2006.04.007. View

10.

Kim M, Penjweini R, Gemmell N, Veilleux I, McCarthy A, Buller G . A Comparison of Singlet Oxygen Explicit Dosimetry (SOED) and Singlet Oxygen Luminescence Dosimetry (SOLD) for Photofrin-Mediated Photodynamic Therapy. Cancers (Basel). 2016; 8(12). PMC: 5187507. DOI: 10.3390/cancers8120109. View

11.

Liang J, Yan D . Reducing uncertainties in volumetric image based deformable organ registration. Med Phys. 2003; 30(8):2116-22. DOI: 10.1118/1.1587631. View

12.

DeLaney T, Glatstein E . Photodynamic therapy of cancer. Compr Ther. 1988; 14(5):43-55. View

13.

Penjweini R, Kim M, Dimofte A, Finlay J, Zhu T . Deformable medical image registration of pleural cavity for photodynamic therapy by using finite-element based method. Proc SPIE Int Soc Opt Eng. 2016; 9701:970106. PMC: 4819259. DOI: 10.1117/12.2211110. View

14.

Moskal T, Dougherty T, Urschel J, Antkowiak J, Regal A, Driscoll D . Operation and photodynamic therapy for pleural mesothelioma: 6-year follow-up. Ann Thorac Surg. 1998; 66(4):1128-33. DOI: 10.1016/s0003-4975(98)00799-1. View

15.

Qiu H, Kim M, Penjweini R, Zhu T . Macroscopic singlet oxygen modeling for dosimetry of Photofrin-mediated photodynamic therapy: an in-vivo study. J Biomed Opt. 2016; 21(8):88002. PMC: 5331118. DOI: 10.1117/1.JBO.21.8.088002. View

16.

Zhu T, Kim M, Jacques S, Penjweini R, Dimofte A, Finlay J . Real-time treatment light dose guidance of Pleural PDT: an update. Proc SPIE Int Soc Opt Eng. 2015; 9308. PMC: 4437627. DOI: 10.1117/12.2080110. View

17.

Zhu T, Kim M, Ong Y, Penjweini R, Dimofte A, Finlay J . A summary of light dose distribution using an IR navigation system for Photofrin-mediated Pleural PDT. Proc SPIE Int Soc Opt Eng. 2017; 10047. PMC: 5497853. DOI: 10.1117/12.2253027. View

18.

Friedberg J, Mick R, Stevenson J, Zhu T, Busch T, Shin D . Phase II trial of pleural photodynamic therapy and surgery for patients with non-small-cell lung cancer with pleural spread. J Clin Oncol. 2004; 22(11):2192-201. DOI: 10.1200/JCO.2004.07.097. View

19.

van der Meer S, Camps S, van Elmpt W, Podesta M, Sanches P, Vanneste B . Simulation of pseudo-CT images based on deformable image registration of ultrasound images: A proof of concept for transabdominal ultrasound imaging of the prostate during radiotherapy. Med Phys. 2016; 43(4):1913. DOI: 10.1118/1.4944064. View

20.

Paquin D, Levy D, Xing L . Multiscale deformable registration of noisy medical images. Math Biosci Eng. 2008; 5(1):125-44. DOI: 10.3934/mbe.2008.5.125. View