Tomographic reconstruction for truncated cone beam data using prior CT information

Krishnakumar Ramamurthi; Jerry Prince

doi:10.1007/978-3-540-39903-2_17

Tomographic reconstruction for truncated cone beam data using prior CT information

Krishnakumar Ramamurthi, Jerry Prince

Whiting School of Engineering

Research output: Contribution to journal › Conference article › peer-review

5 Scopus citations

Abstract

C-arms can be used in surgery to acquire rotational cone' beam data, which can be used to obtain three-dimensional reconstructions of anatomy. In many scenarios, there is insufficient space or capability to obtain the large angular rotations required to reconstruct artifact-free anatomy. Projection data can also suffer from truncation, which causes additional artifacts in three-dimensional reconstruction. In this paper we present a method that compensates for truncation using prior information from computed tomography and provides accurate reconstruction in the mid-plane under certain conditions.

Original language	English (US)
Pages (from-to)	134-141
Number of pages	8
Journal	Lecture Notes in Computer Science
Volume	2879
Issue number	PART 2
DOIs	https://doi.org/10.1007/978-3-540-39903-2_17
State	Published - 2003
Event	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada Duration: Nov 15 2003 → Nov 18 2003

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-39903-2_17

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title = "Tomographic reconstruction for truncated cone beam data using prior CT information",

abstract = "C-arms can be used in surgery to acquire rotational cone' beam data, which can be used to obtain three-dimensional reconstructions of anatomy. In many scenarios, there is insufficient space or capability to obtain the large angular rotations required to reconstruct artifact-free anatomy. Projection data can also suffer from truncation, which causes additional artifacts in three-dimensional reconstruction. In this paper we present a method that compensates for truncation using prior information from computed tomography and provides accurate reconstruction in the mid-plane under certain conditions.",

author = "Krishnakumar Ramamurthi and Jerry Prince",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings ; Conference date: 15-11-2003 Through 18-11-2003",

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T1 - Tomographic reconstruction for truncated cone beam data using prior CT information

AU - Ramamurthi, Krishnakumar

AU - Prince, Jerry

PY - 2003

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N2 - C-arms can be used in surgery to acquire rotational cone' beam data, which can be used to obtain three-dimensional reconstructions of anatomy. In many scenarios, there is insufficient space or capability to obtain the large angular rotations required to reconstruct artifact-free anatomy. Projection data can also suffer from truncation, which causes additional artifacts in three-dimensional reconstruction. In this paper we present a method that compensates for truncation using prior information from computed tomography and provides accurate reconstruction in the mid-plane under certain conditions.

AB - C-arms can be used in surgery to acquire rotational cone' beam data, which can be used to obtain three-dimensional reconstructions of anatomy. In many scenarios, there is insufficient space or capability to obtain the large angular rotations required to reconstruct artifact-free anatomy. Projection data can also suffer from truncation, which causes additional artifacts in three-dimensional reconstruction. In this paper we present a method that compensates for truncation using prior information from computed tomography and provides accurate reconstruction in the mid-plane under certain conditions.

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U2 - 10.1007/978-3-540-39903-2_17

DO - 10.1007/978-3-540-39903-2_17

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AN - SCOPUS:11244258230

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VL - 2879

SP - 134

EP - 141

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - PART 2

T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings

Y2 - 15 November 2003 through 18 November 2003

ER -

Tomographic reconstruction for truncated cone beam data using prior CT information

Abstract

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