Flows of diffeomorphisms for multimodal image registration

Chefd’hotel, Christophe; Hermosillo, Gerardo; Faugeras, Olivier

doi:10.1109/isbi.2002.1029367

Cited by 141 publications

(128 citation statements)

References 14 publications

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“…5 Motion correction of the DCE-MRI scan was performed by using a nonrigid registration technique. 8,9 In this study, we did not use T 1 mapping for the reason that T 1 values obtained from T 1 mapping may be inaccurate or some errors my occur in the process of coregistration of T 1 value to the dynamic data. We aimed to focus on the effect of free-breathing dynamic series on image quality.…”

Section: Methods and Materials Patientsmentioning

confidence: 99%

“…Perfusion maps were computed based on Tofts model using a population-averaged arterial input function with two exponentials. [8][9][10] Image analysis Qualitative analysis Two abdominal radiologists (NS and KWK) with 7 and 13 years' experience in liver imaging independently analyzed the quality of perfusion maps by using a 5-point scale as follows: 1 5 uninterpretable; 2 5 poor; 3 5 fair; 4 5 good; and 5 5 very good. The rating was based on the registration quality of the perfusion maps, the presence of misregistration artefacts and any architectural distortion of the organ.…”

Section: Methods and Materials Patientsmentioning

confidence: 99%

See 1 more Smart Citation

Feasibility of free-breathing dynamic contrast-enhanced MRI of the abdomen: a comparison between CAIPIRINHA-VIBE, Radial-VIBE with KWIC reconstruction and conventional VIBE

Seo¹,

Park²,

Kim³

et al. 2016

BJR

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Section: Methods and Materials Patientsmentioning

confidence: 99%

Section: Methods and Materials Patientsmentioning

confidence: 99%

Feasibility of free-breathing dynamic contrast-enhanced MRI of the abdomen: a comparison between CAIPIRINHA-VIBE, Radial-VIBE with KWIC reconstruction and conventional VIBE

Seo¹,

Park²,

Kim³

et al. 2016

BJR

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“…Many algorithms, as in [5,9], provide dense transformations which are guaranteed to be diffeomorphic, and parameterize them via their displacement field. However, Euclidean means of displacement fields do not necessary yield invertible deformations, which makes Euclidean statistics on these parameters (or B-splines as in [10]) problematic for diffeomorphisms.…”

Section: Introductionmentioning

confidence: 99%

A Log-Euclidean Framework for Statistics on Diffeomorphisms

Arsigny

Commowick

Pennec

et al. 2006

Lecture Notes in Computer Science

358

420

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Abstract. In this article, we focus on the computation of statistics of invertible geometrical deformations (i.e., diffeomorphisms), based on the generalization to this type of data of the notion of principal logarithm. Remarkably, this logarithm is a simple 3D vector field, and is well-defined for diffeomorphisms close enough to the identity. This allows to perform vectorial statistics on diffeomorphisms, while preserving the invertibility constraint, contrary to Euclidean statistics on displacement fields. We also present here two efficient algorithms to compute logarithms of diffeomorphisms and exponentials of vector fields, whose accuracy is studied on synthetic data. Finally, we apply these tools to compute the mean of a set of diffeomorphisms, in the context of a registration experiment between an atlas an a database of 9 T1 MR images of the human brain.

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“…The model based registered pre-operative image is warped to intra-operative image using diffeomorphic non-rigid registration [12]. It is a dense matching method driven by the gradient of local cross correlation similarity measure.…”

Section: Diffeomorphic Non-rigid Registrationmentioning

confidence: 99%

Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery

Oktay

Zhang

Mansi

et al. 2013

Advanced Information Systems Engineering

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Abstract. Minimally invasive laparoscopic surgery is widely used for the treatment of cancer and other diseases. During the procedure, gas insufflation is used to create space for laparoscopic tools and operation. Insufflation causes the organs and abdominal wall to deform significantly. Due to this large deformation, the benefit of surgical plans, which are typically based on pre-operative images, is limited for real time navigation. In some recent work, intra-operative images, such as cone-beam CT or interventional CT, are introduced to provide updated volumetric information after insufflation. Other works in this area have focused on simulation of gas insufflation and exploited only the pre-operative images to estimate deformation. This paper proposes a novel registration method for pre-and intra-operative 3D image fusion for laparoscopic surgery. In this approach, the deformation of pre-operative images is driven by a biomechanical model of the insufflation process. The proposed method was validated by five synthetic data sets generated from clinical images and three pairs of in vivo CT scans acquired from two pigs, before and after insufflation. The results show the proposed method achieved high accuracy for both the synthetic and real insufflation data.

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Flows of diffeomorphisms for multimodal image registration

Cited by 141 publications

References 14 publications

Feasibility of free-breathing dynamic contrast-enhanced MRI of the abdomen: a comparison between CAIPIRINHA-VIBE, Radial-VIBE with KWIC reconstruction and conventional VIBE

Feasibility of free-breathing dynamic contrast-enhanced MRI of the abdomen: a comparison between CAIPIRINHA-VIBE, Radial-VIBE with KWIC reconstruction and conventional VIBE

A Log-Euclidean Framework for Statistics on Diffeomorphisms

Biomechanically Driven Registration of Pre- to Intra-Operative 3D Images for Laparoscopic Surgery

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