Skip to main content
Erschienen in: International Journal of Computer Assisted Radiology and Surgery 11/2017

22.06.2017 | Original Article

Automatic seed picking for brachytherapy postimplant validation with 3D CT images

verfasst von: Guobin Zhang, Qiyuan Sun, Shan Jiang, Zhiyong Yang, Xiaodong Ma, Haisong Jiang

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 11/2017

Einloggen, um Zugang zu erhalten

Abstract

Purpose

Postimplant validation is an indispensable part in the brachytherapy technique. It provides the necessary feedback to ensure the quality of operation. The ability to pick implanted seed relates directly to the accuracy of validation. To address it, an automatic approach is proposed for picking implanted brachytherapy seeds in 3D CT images.

Methods

In order to pick seed configuration (location and orientation) efficiently, the approach starts with the segmentation of seed from CT images using a thresholding filter which based on gray-level histogram. Through the process of filtering and denoising, the touching seed and single seed are classified. The true novelty of this approach is found in the application of the canny edge detection and improved concave points matching algorithm to separate touching seeds. Through the computation of image moments, the seed configuration can be determined efficiently. Finally, two different experiments are designed to verify the performance of the proposed approach: (1) physical phantom with 60 model seeds, and (2) patient data with 16 cases.

Results

Through assessment of validated results by a medical physicist, the proposed method exhibited promising results. Experiment on phantom demonstrates that the error of seed location and orientation is within (\(0.6\, \pm \, 0.38\)) mm and (\(2.4 \pm 1.2\))\({^{\circ }}\), respectively. In addition, the most seed location and orientation error is controlled within 0.8 mm and 3.5\({^{\circ }}\) in all cases, respectively. The average process time of seed picking is 8.7 s per 100 seeds.

Conclusions

In this paper, an automatic, efficient and robust approach, performed on CT images, is proposed to determine the implanted seed location as well as orientation in a 3D workspace. Through the experiments with phantom and patient data, this approach also successfully exhibits good performance.
Literatur
1.
Zurück zum Zitat Fitzmaurice C, Dicker D, Pain A, Hamavid H, Moradilakeh M, Macintyre MF, Allen C, Hansen G, Woodbrook R, Wolfe C (2015) The global burden of cancer 2013. Jama Oncol 1(4):505–527CrossRefPubMed Fitzmaurice C, Dicker D, Pain A, Hamavid H, Moradilakeh M, Macintyre MF, Allen C, Hansen G, Woodbrook R, Wolfe C (2015) The global burden of cancer 2013. Jama Oncol 1(4):505–527CrossRefPubMed
2.
Zurück zum Zitat Jiang YR, Sykes ER (2015) A 3D computer-assisted treatment planning system for breast cancer brachytherapy treatment. Int J Comput Assist Radiol Surg 10(4):373–381CrossRefPubMed Jiang YR, Sykes ER (2015) A 3D computer-assisted treatment planning system for breast cancer brachytherapy treatment. Int J Comput Assist Radiol Surg 10(4):373–381CrossRefPubMed
3.
Zurück zum Zitat Nag S, Ciezki JP, Cormack R, Doggett S, Dewyngaert K, Edmundson GK, Stock RG, Stone NN, Yu Y, Zelefsky MJ (2002) Intraoperative planning and evaluation of permanent prostate brachytherapy: report of the American Brachytherapy Society. Int J Radiat Oncol Biol Phys 51(5):1422–1430CrossRef Nag S, Ciezki JP, Cormack R, Doggett S, Dewyngaert K, Edmundson GK, Stock RG, Stone NN, Yu Y, Zelefsky MJ (2002) Intraoperative planning and evaluation of permanent prostate brachytherapy: report of the American Brachytherapy Society. Int J Radiat Oncol Biol Phys 51(5):1422–1430CrossRef
4.
Zurück zum Zitat Chng N, Spadinger I, Rasoda R, Morris WJ, Salcudean S (2012) Prostate brachytherapy postimplant dosimetry: seed orientation and the impact of dosimetric anisotropy in stranded implants. Med Phys 39(39):721–731CrossRefPubMed Chng N, Spadinger I, Rasoda R, Morris WJ, Salcudean S (2012) Prostate brachytherapy postimplant dosimetry: seed orientation and the impact of dosimetric anisotropy in stranded implants. Med Phys 39(39):721–731CrossRefPubMed
5.
Zurück zum Zitat Tubic D, Zaccarin A, Pouliot J, Beaulieu L (2001) Automated seed detection and three-dimensional reconstruction. I. Seed localization from fluoroscopic images or radiographs. Med Phys 28(11):2265–2271CrossRefPubMed Tubic D, Zaccarin A, Pouliot J, Beaulieu L (2001) Automated seed detection and three-dimensional reconstruction. I. Seed localization from fluoroscopic images or radiographs. Med Phys 28(11):2265–2271CrossRefPubMed
6.
Zurück zum Zitat Tubic D, Zaccarin A, Beaulieu L, Pouliot J (2001) Automated seed detection and three-dimensional reconstruction. II. Reconstruction of permanent prostate implants using simulated annealing. Med Phys 28(11):2272–2279CrossRefPubMed Tubic D, Zaccarin A, Beaulieu L, Pouliot J (2001) Automated seed detection and three-dimensional reconstruction. II. Reconstruction of permanent prostate implants using simulated annealing. Med Phys 28(11):2272–2279CrossRefPubMed
7.
Zurück zum Zitat Su Y, Davis BJ, Herman MG, Robb RA (2004) Prostate brachytherapy seed localization by analysis of multiple projections: Identifying and addressing the seed overlap problem. Med Phys 31(5):1277–1287CrossRefPubMed Su Y, Davis BJ, Herman MG, Robb RA (2004) Prostate brachytherapy seed localization by analysis of multiple projections: Identifying and addressing the seed overlap problem. Med Phys 31(5):1277–1287CrossRefPubMed
8.
Zurück zum Zitat Holupka EJ, Meskell PM, Burdette EC, Kaplan ID (2004) An automatic seed finder for brachytherapy CT postplans based on the Hough transform. Med Phys Med Phys 31(9):2672–2679CrossRef Holupka EJ, Meskell PM, Burdette EC, Kaplan ID (2004) An automatic seed finder for brachytherapy CT postplans based on the Hough transform. Med Phys Med Phys 31(9):2672–2679CrossRef
9.
Zurück zum Zitat Liu H, Cheng G, Yu Y, Brasacchio R, Rubens D, Strang J, Liao L, Messing E (2003) Automatic localization of implanted seeds from post-implant CT images. Phys Med Biol 48(9):1191–1203CrossRefPubMed Liu H, Cheng G, Yu Y, Brasacchio R, Rubens D, Strang J, Liao L, Messing E (2003) Automatic localization of implanted seeds from post-implant CT images. Phys Med Biol 48(9):1191–1203CrossRefPubMed
10.
Zurück zum Zitat Nguyen HG, Fouard C, Troccaz J (2015) Segmentation, separation and pose estimation of prostate brachytherapy seeds in CT images. IEEE Trans Biomed Eng 62(8):2012–2024CrossRefPubMed Nguyen HG, Fouard C, Troccaz J (2015) Segmentation, separation and pose estimation of prostate brachytherapy seeds in CT images. IEEE Trans Biomed Eng 62(8):2012–2024CrossRefPubMed
11.
Zurück zum Zitat Pokhrel D, Murphy MJ, Todor DA, Weiss E, Williamson JF (2010) Clinical application and validation of an iterative forward projection matching algorithm for permanent brachytherapy seed localization from conebeam-CT X-ray projections. Med Phys 37(37):5092–5101CrossRefPubMedPubMedCentral Pokhrel D, Murphy MJ, Todor DA, Weiss E, Williamson JF (2010) Clinical application and validation of an iterative forward projection matching algorithm for permanent brachytherapy seed localization from conebeam-CT X-ray projections. Med Phys 37(37):5092–5101CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Pokhrel D, Murphy MJ, Todor DA, Weiss E, Williamson JF (2010) Reconstruction of brachytherapy seed positions and orientations from cone-beam CT X-ray projections via a novel iterative forward projection matching method. Med Phys 38(1):474–486CrossRefPubMedCentral Pokhrel D, Murphy MJ, Todor DA, Weiss E, Williamson JF (2010) Reconstruction of brachytherapy seed positions and orientations from cone-beam CT X-ray projections via a novel iterative forward projection matching method. Med Phys 38(1):474–486CrossRefPubMedCentral
13.
Zurück zum Zitat Moult E, Fichtinger G, Morris WJ, Salcudean SE, Dehghan E, Fallavollita P (2012) Segmentation of iodine brachytherapy implants in fluoroscopy. Int J Comput Assist Radiol Surg 7(6):871–879CrossRefPubMed Moult E, Fichtinger G, Morris WJ, Salcudean SE, Dehghan E, Fallavollita P (2012) Segmentation of iodine brachytherapy implants in fluoroscopy. Int J Comput Assist Radiol Surg 7(6):871–879CrossRefPubMed
14.
Zurück zum Zitat Lee J, Kuo N, Deguet A, Dehghan E, Song DY, Burdette EC, Prince JL (2011) Intraoperative 3D reconstruction of prostate brachytherapy implants with automatic pose correction. Phys Med Biol 56(15):5011–5027CrossRefPubMedPubMedCentral Lee J, Kuo N, Deguet A, Dehghan E, Song DY, Burdette EC, Prince JL (2011) Intraoperative 3D reconstruction of prostate brachytherapy implants with automatic pose correction. Phys Med Biol 56(15):5011–5027CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Kuo N, Deguet A, Song DY, Burdette EC, Prince JL, Lee J (2012) Automatic segmentation of radiographic fiducial and seeds from X-ray images in prostate brachytherapy. Med Eng Phys 34(1):64–77CrossRefPubMed Kuo N, Deguet A, Song DY, Burdette EC, Prince JL, Lee J (2012) Automatic segmentation of radiographic fiducial and seeds from X-ray images in prostate brachytherapy. Med Eng Phys 34(1):64–77CrossRefPubMed
16.
Zurück zum Zitat Jain AK, Zhou Y, Mustufa T, Burdette EC, Chirikjian GS, Fichtinger G (2005) Matching and reconstruction of brachytherapy seeds using the Hungarian algorithm (MARSHAL). Med Phys 32(11):3475–3492CrossRefPubMed Jain AK, Zhou Y, Mustufa T, Burdette EC, Chirikjian GS, Fichtinger G (2005) Matching and reconstruction of brachytherapy seeds using the Hungarian algorithm (MARSHAL). Med Phys 32(11):3475–3492CrossRefPubMed
17.
Zurück zum Zitat Kuo N, Lee J, Tempany C, Stuber M, Prince J (2010) MRI-based prostate brachytherapy seed localization. In: IEEE international symposium on biomedical imaging: from nano to macro, 2010. pp 1397–1400 Kuo N, Lee J, Tempany C, Stuber M, Prince J (2010) MRI-based prostate brachytherapy seed localization. In: IEEE international symposium on biomedical imaging: from nano to macro, 2010. pp 1397–1400
18.
Zurück zum Zitat Kuo N, Dehghan E, Deguet A, Mian OY, Le Y, Burdette EC, Fichtinger G, Prince JL, Song DY, Lee J (2014) An image-guidance system for dynamic dose calculation in prostate brachytherapy using ultrasound and fluoroscopy. Med Phys 41(9):091712–091712CrossRefPubMedPubMedCentral Kuo N, Dehghan E, Deguet A, Mian OY, Le Y, Burdette EC, Fichtinger G, Prince JL, Song DY, Lee J (2014) An image-guidance system for dynamic dose calculation in prostate brachytherapy using ultrasound and fluoroscopy. Med Phys 41(9):091712–091712CrossRefPubMedPubMedCentral
19.
Zurück zum Zitat Dehghan E, Lee J, Fallavollita P, Kuo N, Deguet A, Le Y, Clif BE, Song DY, Prince JL, Fichtinger G (2012) Ultrasound-fluoroscopy registration for prostate brachytherapy dosimetry. Med Image Anal 16(7):1347–1358CrossRefPubMedPubMedCentral Dehghan E, Lee J, Fallavollita P, Kuo N, Deguet A, Le Y, Clif BE, Song DY, Prince JL, Fichtinger G (2012) Ultrasound-fluoroscopy registration for prostate brachytherapy dosimetry. Med Image Anal 16(7):1347–1358CrossRefPubMedPubMedCentral
20.
Zurück zum Zitat Nag S, Bice W, Dewyngaert K, Prestidge B, Stock R, Yu Y (2000) The American brachytherapy society recommendations for permanent prostate brachytherapy postimplant dosimetric analysis. Int J Radiat Oncol Biol Phys 46(1):221–230CrossRefPubMed Nag S, Bice W, Dewyngaert K, Prestidge B, Stock R, Yu Y (2000) The American brachytherapy society recommendations for permanent prostate brachytherapy postimplant dosimetric analysis. Int J Radiat Oncol Biol Phys 46(1):221–230CrossRefPubMed
21.
Zurück zum Zitat Brabandere MD, Kirisits C, Peeters R, Haustermans K, Heuvel FVD (2006) Accuracy of seed reconstruction in prostate postplanning studied with a CT- and MRI-compatible phantom. Radiother Oncol 79(2):190–197CrossRefPubMed Brabandere MD, Kirisits C, Peeters R, Haustermans K, Heuvel FVD (2006) Accuracy of seed reconstruction in prostate postplanning studied with a CT- and MRI-compatible phantom. Radiother Oncol 79(2):190–197CrossRefPubMed
22.
Zurück zum Zitat Yasmin J, Sathik M (2015) An improved iterative segmentation algorithm using canny edge detector for skin lesion border detection. Int Arab J Inf Technol 12(4):325–332 Yasmin J, Sathik M (2015) An improved iterative segmentation algorithm using canny edge detector for skin lesion border detection. Int Arab J Inf Technol 12(4):325–332
23.
Zurück zum Zitat Lu X, Zhang S, Su H, Chen Y (2008) Mutual information-based multimodal image registration using a novel joint histogram estimation. Comput Med Imaging Graph 32(3):202–209CrossRefPubMed Lu X, Zhang S, Su H, Chen Y (2008) Mutual information-based multimodal image registration using a novel joint histogram estimation. Comput Med Imaging Graph 32(3):202–209CrossRefPubMed
24.
Zurück zum Zitat Lehmann G (2008) Label object representation and manipulation with ITK.págs. 44–45 Lehmann G (2008) Label object representation and manipulation with ITK.págs. 44–45
25.
Zurück zum Zitat Wang J, Zhang H, Zhao X, Yu H (2016) The relationship between SPECT/CT with radioactivity uptake count value and dose of (125) I radioactive seeds. Int J Radiat Oncol Biol Phys 96(2S):E610CrossRef Wang J, Zhang H, Zhao X, Yu H (2016) The relationship between SPECT/CT with radioactivity uptake count value and dose of (125) I radioactive seeds. Int J Radiat Oncol Biol Phys 96(2S):E610CrossRef
Metadaten
Titel
Automatic seed picking for brachytherapy postimplant validation with 3D CT images
verfasst von
Guobin Zhang
Qiyuan Sun
Shan Jiang
Zhiyong Yang
Xiaodong Ma
Haisong Jiang
Publikationsdatum
22.06.2017
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 11/2017
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1632-3

Weitere Artikel der Ausgabe 11/2017

International Journal of Computer Assisted Radiology and Surgery 11/2017 Zur Ausgabe

Update Radiologie

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.