Baseline drift vector of multiple points on body surface using a near-infrared camera.
Baseline drift
Kinect
Near-infrared camera
Respiratory curve
Three-dimensional tracking
Journal
Physical and engineering sciences in medicine
ISSN: 2662-4737
Titre abrégé: Phys Eng Sci Med
Pays: Switzerland
ID NLM: 101760671
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
22
01
2021
accepted:
27
12
2021
pubmed:
5
1
2022
medline:
11
3
2022
entrez:
4
1
2022
Statut:
ppublish
Résumé
The purpose of this study was to extract the three-dimensional (3D) vector of the baseline drift baseline drift vector (BDV) of the specific points on the body surface and to demonstrate the importance of the 3D tracking of the body surface. Our system consisted of a near-infrared camera (NIC: Kinect V2) and software that recognized and tracked blue stickers as markers. We acquired 3D coordinates of 30 markers stuck on the body surface for 30 min for eight healthy volunteers and developed a simple technique to extract the BDV. The BDV on the sternum, rib, and abdomen was extracted from the measured data. BDV per min. was analyzed to estimate the frequency to exceed a given tolerance. Also, the correlation among BDVs for multiple body sites was analyzed. The longitudinal baseline drift was observed in the BDV of healthy volunteers. Among the eight volunteers, the maximum probability that the BDV per min. exceeded the tolerance of 1 mm and 2 mm was 30% and 15%, respectively. The correlation among BDVs of multiple body sites suggested a potential feasibility to distinguish the translational movement of the whole area and the respiratory movement. In conclusion, we constructed the 3D tracking system of multiple points on the body surface using a noninvasive NIC at a low cost and established the method to extract the BDV. The existence of the longitudinal baseline drift showed the importance of the 3D tracking in the body surface.
Identifiants
pubmed: 34982403
doi: 10.1007/s13246-021-01097-w
pii: 10.1007/s13246-021-01097-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
143-155Subventions
Organisme : Japan Agency for Medical Research and Development
ID : 16he1002008h0002
Informations de copyright
© 2022. Australasian College of Physical Scientists and Engineers in Medicine.
Références
Videtic GM, Stephans K, Reddy C et al (2010) Intensity-modulated radiotherapy-based stereotactic body radiotherapy for medically inoperable early-stage lung cancer: excellent local control. Int J Radiat Oncol Biol Phys 77(2):344–349
doi: 10.1016/j.ijrobp.2009.05.004
Yamashita H, Haga A, Takahashi W et al (2014) Volumetric modulated arc therapy for lung stereotactic radiation therapy can archive high local control rates. Radiat Oncol 9:243
doi: 10.1186/s13014-014-0243-1
Giraud P, Yorke E, Jiang S, Simon L, Rosenzweig K, Mageras G (2006) Reduction of organ motion effects in IMRT and conformal 3D radiation delivery by using gating and tracking techniques. Cancer Radiother 10(5):269–282
doi: 10.1016/j.canrad.2006.05.009
Worm ES, Hoyer M, Fledelius W, Hansen AT, Poulsen PR (2013) Variations in magnitude and directionality of respiratory target motion throughout full treatment course of stereotactic body radiotherapy for tumor in the liver. Acta Oncol 52(7):1437–1444
doi: 10.3109/0284186X.2013.813638
Takao S, Miyamoto N, Matsuura T et al (2016) Intrafractional baseline shift or drift of lung tumor motion during gated radiation therapy with a real-time tumor-tracking system. Int J Radiat Oncol Biol Phys 94(1):172–180
doi: 10.1016/j.ijrobp.2015.09.024
Seppenwoolde Y, Shirato H, Kitamura K et al (2002) Precise and real-time measurement of 3D tumor motion in lung due to breathing and heartbeat, measured during radiotherapy. Int J Radiat Oncol Biol Phys 53(4):822–834
doi: 10.1016/S0360-3016(02)02803-1
Zhao B, Yang Y, Li T, Li X, Heron DE, Huq MS (2012) Dosimetric effect of intrafraction tumor motion in phase gated lung stereotactic body radiotherapy. Med Phys 39(11):6629–6637
doi: 10.1118/1.4757916
Peulen H, Belderbos J, Rossi M, Sonke JJ (2014) Mid-ventilation based PTV margin is stereotactic body radiotherapy (SBRT): a clinical evaluation. Radiother Oncol 110(3):511–516
doi: 10.1016/j.radonc.2014.01.010
Tarohda TI, Ishiguro M, Hasegawa K et al (2011) The management of tumor motions in the stereotactic irradiation to lung cancer under the use of Abches to control active breathing. Med Phys 38(7):4141–4146
doi: 10.1118/1.3604151
Thiyagarajan R, Shinha SN, Ravichandran R et al (2016) Respiratory gated radiotherapy-pretreatment patient specific quality assurance. J Med Phys 41(1):65–70
doi: 10.4103/0971-6203.177279
Cheung Y, Sawant A (2015) An externally and internally deformable, programmable lung motion phantom. Med Phys 42(5):2585–2593
doi: 10.1118/1.4918581
Freislederer P, Reiner M, Hoischen W et al (2015) Characteristics of gated treatment using an optical surface imaging and gating system on an Elekta linac. Radiat Oncol 10:68
doi: 10.1186/s13014-015-0376-x
Willoughby T, Kupelian P, Pouliot J et al (2006) Target localization and real-time tracking using the calypso 4D localization system in patients with localized prostate cancer. Int J Radiat Oncol Biol Phys 65(2):528–534
doi: 10.1016/j.ijrobp.2006.01.050
Onishi H, Kawakami H, Marino K et al (2005) A newly developed simple and accurate respiratory indicator relative to measurement of 2-point levels of abdominal and chest walls: for assurance of patient self-judged breath holding techniques for irradiation of lung cancer with small internal margin. Int J Radiat Oncol Biol Phys 63:S534
doi: 10.1016/j.ijrobp.2005.07.902
Fayad H, Pan T, Pradier O, Visvikis D (2012) Patient specific respiratory motion modeling using a 3D patient’s external surface. Med Phys 39(6):3386–3395
doi: 10.1118/1.4718578
Lachat E, Macher H, Landes T, Grussenmeyer P (2015) Assessment and calibration of a RGB-D camera (Kinect v2 sensor) towards a potential use for close-range 3D modeling. Remote Sens 7(10):13070–13097
doi: 10.3390/rs71013070
Saito A, Ohashi A, Nishio T et al (2019) Automatic calibration of an arbitrarily-set near-infrared camera for patient surface respiratory monitoring. Med Phys 46(3):1163–1174
doi: 10.1002/mp.13377