A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound

Tadashi Araki, Nobutaka Ikeda, Nilanjan Dey, Sayan Chakraborty, Luca Saba, Dinesh Kumar, Elisa Cuadrado Godia, Xiaoyi Jiang, Ajay Gupta, Petia Radeva, John R. Laird, Andrew Nicolaides, Jasjit S. Suri

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

In IVUS imaging, constant linear velocity and a constant angular velocity of 1800. rev/min causes displacement of the calcium in subsequent image frames. To overcome this error in intravascular ultrasound video, IVUS image frames must be registered prior to the lesion quantification. This paper presents a comprehensive comparison of four registration methods, namely: Rigid, Affine, B-Splines and Demons on five set of calcium lesion quantification parameters namely: (i) the mean lesion area, (ii) mean lesion arc, (iii) mean lesion span, (iv) mean lesion length, and (v) mean lesion distance from catheter.Using our IRB approved data of 100 patient volumes, our results shows that all four registrations showed a decrease in five calcium lesion parameters as follows: for Rigid registration, the values were: 4.92%, 5.84%, 5.89%, 5.27%, and 4.57%, respectively, for Affine registration the values were: 6.06%, 6.51%, 7.28%, 6.50%, and 5.94%, respectively, for B-Splines registration the values were: 7.35%, 8.03%, 9.54%, 8.18%, and 7.62%, respectively, and for Demons registration the five parameters were 7.32%, 8.02%, 10.11%, 7.94%, and 8.92% respectively.The relative overlap of identified lesions decreased by 5.91% in case of Rigid registration, 6.23% in case of Affine registration, 4.48% for Demons registration, whereas it increased by 3.05% in case of B-Splines registration. Rigid and Affine transformation-based registration took only 0.1936 and 0.2893. s per frame, respectively. Demons and B-Splines framework took only 0.5705 and 0.9405. s per frame, respectively, which were significantly slower than Rigid and Affine transformation based image registration.

Original languageEnglish (US)
Pages (from-to)158-172
Number of pages15
JournalComputer Methods and Programs in Biomedicine
Volume118
Issue number2
DOIs
StatePublished - 2015

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Image registration
Splines
Calcium
Coronary Vessels
Ultrasonics
Research Ethics Committees
Catheters
Angular velocity
Imaging techniques

Keywords

  • AtheroEdge™
  • Demons
  • IVUS
  • Motion
  • Registration
  • Rigid

ASJC Scopus subject areas

  • Computer Science Applications
  • Software
  • Health Informatics

Cite this

A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. / Araki, Tadashi; Ikeda, Nobutaka; Dey, Nilanjan; Chakraborty, Sayan; Saba, Luca; Kumar, Dinesh; Godia, Elisa Cuadrado; Jiang, Xiaoyi; Gupta, Ajay; Radeva, Petia; Laird, John R.; Nicolaides, Andrew; Suri, Jasjit S.

In: Computer Methods and Programs in Biomedicine, Vol. 118, No. 2, 2015, p. 158-172.

Research output: Contribution to journalArticle

Araki, T, Ikeda, N, Dey, N, Chakraborty, S, Saba, L, Kumar, D, Godia, EC, Jiang, X, Gupta, A, Radeva, P, Laird, JR, Nicolaides, A & Suri, JS 2015, 'A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound', Computer Methods and Programs in Biomedicine, vol. 118, no. 2, pp. 158-172. https://doi.org/10.1016/j.cmpb.2014.11.006
Araki, Tadashi ; Ikeda, Nobutaka ; Dey, Nilanjan ; Chakraborty, Sayan ; Saba, Luca ; Kumar, Dinesh ; Godia, Elisa Cuadrado ; Jiang, Xiaoyi ; Gupta, Ajay ; Radeva, Petia ; Laird, John R. ; Nicolaides, Andrew ; Suri, Jasjit S. / A comparative approach of four different image registration techniques for quantitative assessment of coronary artery calcium lesions using intravascular ultrasound. In: Computer Methods and Programs in Biomedicine. 2015 ; Vol. 118, No. 2. pp. 158-172.
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abstract = "In IVUS imaging, constant linear velocity and a constant angular velocity of 1800. rev/min causes displacement of the calcium in subsequent image frames. To overcome this error in intravascular ultrasound video, IVUS image frames must be registered prior to the lesion quantification. This paper presents a comprehensive comparison of four registration methods, namely: Rigid, Affine, B-Splines and Demons on five set of calcium lesion quantification parameters namely: (i) the mean lesion area, (ii) mean lesion arc, (iii) mean lesion span, (iv) mean lesion length, and (v) mean lesion distance from catheter.Using our IRB approved data of 100 patient volumes, our results shows that all four registrations showed a decrease in five calcium lesion parameters as follows: for Rigid registration, the values were: 4.92{\%}, 5.84{\%}, 5.89{\%}, 5.27{\%}, and 4.57{\%}, respectively, for Affine registration the values were: 6.06{\%}, 6.51{\%}, 7.28{\%}, 6.50{\%}, and 5.94{\%}, respectively, for B-Splines registration the values were: 7.35{\%}, 8.03{\%}, 9.54{\%}, 8.18{\%}, and 7.62{\%}, respectively, and for Demons registration the five parameters were 7.32{\%}, 8.02{\%}, 10.11{\%}, 7.94{\%}, and 8.92{\%} respectively.The relative overlap of identified lesions decreased by 5.91{\%} in case of Rigid registration, 6.23{\%} in case of Affine registration, 4.48{\%} for Demons registration, whereas it increased by 3.05{\%} in case of B-Splines registration. Rigid and Affine transformation-based registration took only 0.1936 and 0.2893. s per frame, respectively. Demons and B-Splines framework took only 0.5705 and 0.9405. s per frame, respectively, which were significantly slower than Rigid and Affine transformation based image registration.",
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AU - Ikeda, Nobutaka

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AU - Chakraborty, Sayan

AU - Saba, Luca

AU - Kumar, Dinesh

AU - Godia, Elisa Cuadrado

AU - Jiang, Xiaoyi

AU - Gupta, Ajay

AU - Radeva, Petia

AU - Laird, John R.

AU - Nicolaides, Andrew

AU - Suri, Jasjit S.

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N2 - In IVUS imaging, constant linear velocity and a constant angular velocity of 1800. rev/min causes displacement of the calcium in subsequent image frames. To overcome this error in intravascular ultrasound video, IVUS image frames must be registered prior to the lesion quantification. This paper presents a comprehensive comparison of four registration methods, namely: Rigid, Affine, B-Splines and Demons on five set of calcium lesion quantification parameters namely: (i) the mean lesion area, (ii) mean lesion arc, (iii) mean lesion span, (iv) mean lesion length, and (v) mean lesion distance from catheter.Using our IRB approved data of 100 patient volumes, our results shows that all four registrations showed a decrease in five calcium lesion parameters as follows: for Rigid registration, the values were: 4.92%, 5.84%, 5.89%, 5.27%, and 4.57%, respectively, for Affine registration the values were: 6.06%, 6.51%, 7.28%, 6.50%, and 5.94%, respectively, for B-Splines registration the values were: 7.35%, 8.03%, 9.54%, 8.18%, and 7.62%, respectively, and for Demons registration the five parameters were 7.32%, 8.02%, 10.11%, 7.94%, and 8.92% respectively.The relative overlap of identified lesions decreased by 5.91% in case of Rigid registration, 6.23% in case of Affine registration, 4.48% for Demons registration, whereas it increased by 3.05% in case of B-Splines registration. Rigid and Affine transformation-based registration took only 0.1936 and 0.2893. s per frame, respectively. Demons and B-Splines framework took only 0.5705 and 0.9405. s per frame, respectively, which were significantly slower than Rigid and Affine transformation based image registration.

AB - In IVUS imaging, constant linear velocity and a constant angular velocity of 1800. rev/min causes displacement of the calcium in subsequent image frames. To overcome this error in intravascular ultrasound video, IVUS image frames must be registered prior to the lesion quantification. This paper presents a comprehensive comparison of four registration methods, namely: Rigid, Affine, B-Splines and Demons on five set of calcium lesion quantification parameters namely: (i) the mean lesion area, (ii) mean lesion arc, (iii) mean lesion span, (iv) mean lesion length, and (v) mean lesion distance from catheter.Using our IRB approved data of 100 patient volumes, our results shows that all four registrations showed a decrease in five calcium lesion parameters as follows: for Rigid registration, the values were: 4.92%, 5.84%, 5.89%, 5.27%, and 4.57%, respectively, for Affine registration the values were: 6.06%, 6.51%, 7.28%, 6.50%, and 5.94%, respectively, for B-Splines registration the values were: 7.35%, 8.03%, 9.54%, 8.18%, and 7.62%, respectively, and for Demons registration the five parameters were 7.32%, 8.02%, 10.11%, 7.94%, and 8.92% respectively.The relative overlap of identified lesions decreased by 5.91% in case of Rigid registration, 6.23% in case of Affine registration, 4.48% for Demons registration, whereas it increased by 3.05% in case of B-Splines registration. Rigid and Affine transformation-based registration took only 0.1936 and 0.2893. s per frame, respectively. Demons and B-Splines framework took only 0.5705 and 0.9405. s per frame, respectively, which were significantly slower than Rigid and Affine transformation based image registration.

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