Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI

Abstract Background Understanding the irradiated area and dose correctly is important for the reirradiation of organs that deform after irradiation, such as the liver. We investigated the spatial registration error using the deformable image registration (DIR) software products MIM Maestro (MIM) and...

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Main Authors: Nobuyoshi Fukumitsu, Kazunori Nitta, Toshiyuki Terunuma, Toshiyuki Okumura, Haruko Numajiri, Yoshiko Oshiro, Kayoko Ohnishi, Masashi Mizumoto, Teruhito Aihara, Hitoshi Ishikawa, Koji Tsuboi, Hideyuki Sakurai
Format: Article
Language:English
Published: BMC 2017-05-01
Series:BMC Medical Imaging
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12880-017-0202-z
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spelling doaj-b782479188c4426c91d3c7c88b8cfff12020-11-24T21:06:13ZengBMCBMC Medical Imaging1471-23422017-05-011711910.1186/s12880-017-0202-zRegistration error of the liver CT using deformable image registration of MIM Maestro and Velocity AINobuyoshi Fukumitsu0Kazunori Nitta1Toshiyuki Terunuma2Toshiyuki Okumura3Haruko Numajiri4Yoshiko Oshiro5Kayoko Ohnishi6Masashi Mizumoto7Teruhito Aihara8Hitoshi Ishikawa9Koji Tsuboi10Hideyuki Sakurai11Proton Medical Research Center, University of TsukubaDivision of Radiology, Ibaraki Prefectural Central HospitalProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaProton Medical Research Center, University of TsukubaAbstract Background Understanding the irradiated area and dose correctly is important for the reirradiation of organs that deform after irradiation, such as the liver. We investigated the spatial registration error using the deformable image registration (DIR) software products MIM Maestro (MIM) and Velocity AI (Velocity). Methods Image registration of pretreatment computed tomography (CT) and posttreatment CT was performed in 24 patients with liver tumors. All the patients received proton beam therapy, and the follow-up period was 4–14 (median: 10) months. We performed DIR of the pretreatment CT and compared it with that of the posttreatment CT by calculating the dislocation of metallic markers (implanted close to the tumors). Results The fiducial registration error was comparable in both products: 0.4–32.9 (9.3 ± 9.9) mm for MIM and 0.5–38.6 (11.0 ± 10.0) mm for Velocity, and correlated with the tumor diameter for MIM (r = 0.69, P = 0.002) and for Velocity (r = 0.68, P = 0.0003). Regarding the enhancement effect, the fiducial registration error was 1.0–24.9 (7.4 ± 7.7) mm for MIM and 0.3–29.6 (8.9 ± 7.2) mm for Velocity, which is shorter than that of plain CT (P = 0.04, for both). Conclusions The DIR performance of both MIM and Velocity is comparable with regard to the liver. The fiducial registration error of DIR depends on the tumor diameter. Furthermore, contrast-enhanced CT improves the accuracy of both MIM and Velocity. Institutional review board approval H28-102; July 14, 2016 approved.http://link.springer.com/article/10.1186/s12880-017-0202-zDeformable image registrationRigid image registrationLiverProton beam therapy
collection DOAJ
language English
format Article
sources DOAJ
author Nobuyoshi Fukumitsu
Kazunori Nitta
Toshiyuki Terunuma
Toshiyuki Okumura
Haruko Numajiri
Yoshiko Oshiro
Kayoko Ohnishi
Masashi Mizumoto
Teruhito Aihara
Hitoshi Ishikawa
Koji Tsuboi
Hideyuki Sakurai
spellingShingle Nobuyoshi Fukumitsu
Kazunori Nitta
Toshiyuki Terunuma
Toshiyuki Okumura
Haruko Numajiri
Yoshiko Oshiro
Kayoko Ohnishi
Masashi Mizumoto
Teruhito Aihara
Hitoshi Ishikawa
Koji Tsuboi
Hideyuki Sakurai
Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI
BMC Medical Imaging
Deformable image registration
Rigid image registration
Liver
Proton beam therapy
author_facet Nobuyoshi Fukumitsu
Kazunori Nitta
Toshiyuki Terunuma
Toshiyuki Okumura
Haruko Numajiri
Yoshiko Oshiro
Kayoko Ohnishi
Masashi Mizumoto
Teruhito Aihara
Hitoshi Ishikawa
Koji Tsuboi
Hideyuki Sakurai
author_sort Nobuyoshi Fukumitsu
title Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI
title_short Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI
title_full Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI
title_fullStr Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI
title_full_unstemmed Registration error of the liver CT using deformable image registration of MIM Maestro and Velocity AI
title_sort registration error of the liver ct using deformable image registration of mim maestro and velocity ai
publisher BMC
series BMC Medical Imaging
issn 1471-2342
publishDate 2017-05-01
description Abstract Background Understanding the irradiated area and dose correctly is important for the reirradiation of organs that deform after irradiation, such as the liver. We investigated the spatial registration error using the deformable image registration (DIR) software products MIM Maestro (MIM) and Velocity AI (Velocity). Methods Image registration of pretreatment computed tomography (CT) and posttreatment CT was performed in 24 patients with liver tumors. All the patients received proton beam therapy, and the follow-up period was 4–14 (median: 10) months. We performed DIR of the pretreatment CT and compared it with that of the posttreatment CT by calculating the dislocation of metallic markers (implanted close to the tumors). Results The fiducial registration error was comparable in both products: 0.4–32.9 (9.3 ± 9.9) mm for MIM and 0.5–38.6 (11.0 ± 10.0) mm for Velocity, and correlated with the tumor diameter for MIM (r = 0.69, P = 0.002) and for Velocity (r = 0.68, P = 0.0003). Regarding the enhancement effect, the fiducial registration error was 1.0–24.9 (7.4 ± 7.7) mm for MIM and 0.3–29.6 (8.9 ± 7.2) mm for Velocity, which is shorter than that of plain CT (P = 0.04, for both). Conclusions The DIR performance of both MIM and Velocity is comparable with regard to the liver. The fiducial registration error of DIR depends on the tumor diameter. Furthermore, contrast-enhanced CT improves the accuracy of both MIM and Velocity. Institutional review board approval H28-102; July 14, 2016 approved.
topic Deformable image registration
Rigid image registration
Liver
Proton beam therapy
url http://link.springer.com/article/10.1186/s12880-017-0202-z
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