CT to US registration of the lumbar spine: A clinical feasibility study

Simrin Nagpal; Purang Abolmaesumi; Abtin Rasoulian; Tamas Ungi; Ilker Hacihaliloglu; Jill Osborn; Dan P. Borschneck; Victoria A. Lessoway; Robert N. Rohling; Parvin Mousavi

doi:10.1007/978-3-319-07521-1_12

CT to US registration of the lumbar spine: A clinical feasibility study

Simrin Nagpal, Purang Abolmaesumi, Abtin Rasoulian, Tamas Ungi, Ilker Hacihaliloglu, Jill Osborn, Dan P. Borschneck, Victoria A. Lessoway, Robert N. Rohling, Parvin Mousavi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Scopus citations

Abstract

Spine needle injections are widely applied to alleviate pain and to remove nerve sensation through analgesia and anesthesia. Currently, spinal injections are performed using either no image guidance or modalities that expose the patient to ionizing radiation such as fluoroscopy or computed tomography (CT). Ultrasound (US) is being investigated as an alternative as it is a non-ionizing and more accessible image modality. An inherent challenge to US imaging of the spine is the acoustic shadows created by the bony structures of the vertebrae limiting visibility. It is possible to enhance the anatomical information in US through its fusion with a pre-operative CT. In this manuscript we propose a clinical feasibility study involving a novel registration pipeline to align CT and US images of the spine. This pipeline involves automatic global and multi-vertebrae registration. We evaluate the proposed methodology on five clinical data sets. The proposed method is able to register the data sets from initial misalignments of up to 25 mm, with a mean TRE of 1.17 mm, sufficient for many spine needle interventions.

Original language	English (US)
Title of host publication	Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings
Publisher	Springer Verlag
Pages	108-117
Number of pages	10
ISBN (Print)	9783319075204
DOIs	https://doi.org/10.1007/978-3-319-07521-1_12
State	Published - Jan 1 2014
Externally published	Yes
Event	5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014 - Fukuoka, Japan Duration: Jun 28 2014 → Jun 28 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8498 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014
Country	Japan
City	Fukuoka
Period	6/28/14 → 6/28/14

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Keywords

Registration
lumbar spine
multi-vertebrae
ultrasound

Access to Document

10.1007/978-3-319-07521-1_12

Fingerprint Dive into the research topics of 'CT to US registration of the lumbar spine: A clinical feasibility study'. Together they form a unique fingerprint.

Cite this

Nagpal, S., Abolmaesumi, P., Rasoulian, A., Ungi, T., Hacihaliloglu, I., Osborn, J., Borschneck, D. P., Lessoway, V. A., Rohling, R. N., & Mousavi, P. (2014). CT to US registration of the lumbar spine: A clinical feasibility study. In Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings (pp. 108-117). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8498 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-07521-1_12

Nagpal, Simrin ; Abolmaesumi, Purang ; Rasoulian, Abtin ; Ungi, Tamas ; Hacihaliloglu, Ilker ; Osborn, Jill ; Borschneck, Dan P. ; Lessoway, Victoria A. ; Rohling, Robert N. ; Mousavi, Parvin. / CT to US registration of the lumbar spine : A clinical feasibility study. Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings. Springer Verlag, 2014. pp. 108-117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{30b6237d728f41b5a207b231c1f81437,

title = "CT to US registration of the lumbar spine: A clinical feasibility study",

abstract = "Spine needle injections are widely applied to alleviate pain and to remove nerve sensation through analgesia and anesthesia. Currently, spinal injections are performed using either no image guidance or modalities that expose the patient to ionizing radiation such as fluoroscopy or computed tomography (CT). Ultrasound (US) is being investigated as an alternative as it is a non-ionizing and more accessible image modality. An inherent challenge to US imaging of the spine is the acoustic shadows created by the bony structures of the vertebrae limiting visibility. It is possible to enhance the anatomical information in US through its fusion with a pre-operative CT. In this manuscript we propose a clinical feasibility study involving a novel registration pipeline to align CT and US images of the spine. This pipeline involves automatic global and multi-vertebrae registration. We evaluate the proposed methodology on five clinical data sets. The proposed method is able to register the data sets from initial misalignments of up to 25 mm, with a mean TRE of 1.17 mm, sufficient for many spine needle interventions.",

keywords = "Registration, lumbar spine, multi-vertebrae, ultrasound",

author = "Simrin Nagpal and Purang Abolmaesumi and Abtin Rasoulian and Tamas Ungi and Ilker Hacihaliloglu and Jill Osborn and Borschneck, {Dan P.} and Lessoway, {Victoria A.} and Rohling, {Robert N.} and Parvin Mousavi",

year = "2014",

month = jan,

day = "1",

doi = "10.1007/978-3-319-07521-1_12",

language = "English (US)",

isbn = "9783319075204",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "108--117",

booktitle = "Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings",

address = "Germany",

note = "5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014 ; Conference date: 28-06-2014 Through 28-06-2014",

}

Nagpal, S, Abolmaesumi, P, Rasoulian, A, Ungi, T, Hacihaliloglu, I, Osborn, J, Borschneck, DP, Lessoway, VA, Rohling, RN & Mousavi, P 2014, CT to US registration of the lumbar spine: A clinical feasibility study. in Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8498 LNCS, Springer Verlag, pp. 108-117, 5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014, Fukuoka, Japan, 6/28/14. https://doi.org/10.1007/978-3-319-07521-1_12

CT to US registration of the lumbar spine : A clinical feasibility study. / Nagpal, Simrin; Abolmaesumi, Purang; Rasoulian, Abtin; Ungi, Tamas; Hacihaliloglu, Ilker; Osborn, Jill; Borschneck, Dan P.; Lessoway, Victoria A.; Rohling, Robert N.; Mousavi, Parvin.

Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings. Springer Verlag, 2014. p. 108-117 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8498 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - CT to US registration of the lumbar spine

T2 - 5th International Conference on Information Processing in Computer-Assisted Interventions, IPCAI 2014

AU - Nagpal, Simrin

AU - Abolmaesumi, Purang

AU - Rasoulian, Abtin

AU - Ungi, Tamas

AU - Hacihaliloglu, Ilker

AU - Osborn, Jill

AU - Borschneck, Dan P.

AU - Lessoway, Victoria A.

AU - Rohling, Robert N.

AU - Mousavi, Parvin

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Spine needle injections are widely applied to alleviate pain and to remove nerve sensation through analgesia and anesthesia. Currently, spinal injections are performed using either no image guidance or modalities that expose the patient to ionizing radiation such as fluoroscopy or computed tomography (CT). Ultrasound (US) is being investigated as an alternative as it is a non-ionizing and more accessible image modality. An inherent challenge to US imaging of the spine is the acoustic shadows created by the bony structures of the vertebrae limiting visibility. It is possible to enhance the anatomical information in US through its fusion with a pre-operative CT. In this manuscript we propose a clinical feasibility study involving a novel registration pipeline to align CT and US images of the spine. This pipeline involves automatic global and multi-vertebrae registration. We evaluate the proposed methodology on five clinical data sets. The proposed method is able to register the data sets from initial misalignments of up to 25 mm, with a mean TRE of 1.17 mm, sufficient for many spine needle interventions.

AB - Spine needle injections are widely applied to alleviate pain and to remove nerve sensation through analgesia and anesthesia. Currently, spinal injections are performed using either no image guidance or modalities that expose the patient to ionizing radiation such as fluoroscopy or computed tomography (CT). Ultrasound (US) is being investigated as an alternative as it is a non-ionizing and more accessible image modality. An inherent challenge to US imaging of the spine is the acoustic shadows created by the bony structures of the vertebrae limiting visibility. It is possible to enhance the anatomical information in US through its fusion with a pre-operative CT. In this manuscript we propose a clinical feasibility study involving a novel registration pipeline to align CT and US images of the spine. This pipeline involves automatic global and multi-vertebrae registration. We evaluate the proposed methodology on five clinical data sets. The proposed method is able to register the data sets from initial misalignments of up to 25 mm, with a mean TRE of 1.17 mm, sufficient for many spine needle interventions.

KW - Registration

KW - lumbar spine

KW - multi-vertebrae

KW - ultrasound

UR - http://www.scopus.com/inward/record.url?scp=84958522214&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958522214&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07521-1_12

DO - 10.1007/978-3-319-07521-1_12

M3 - Conference contribution

AN - SCOPUS:84958522214

SN - 9783319075204

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 108

EP - 117

BT - Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings

PB - Springer Verlag

Y2 - 28 June 2014 through 28 June 2014

ER -

Nagpal S, Abolmaesumi P, Rasoulian A, Ungi T, Hacihaliloglu I, Osborn J et al. CT to US registration of the lumbar spine: A clinical feasibility study. In Information Processing in Computer-Assisted Interventions - 5th International Conference, IPCAI 2014, Proceedings. Springer Verlag. 2014. p. 108-117. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-07521-1_12