Evaluation of edge-preserving and noise-reducing effects using the nonlinear diffusion method in bone single-photon emission computed tomography

Toshimune Ito, Masahisa Onoguchi, Yuji Ogata, Yoji Matsusaka, Takayuki Shibutani

Research output: Contribution to journalArticle

Abstract

Objectives This study aims to evaluate nonlinear diffusion (NLD) processing to smoothen images while suppressing resolution degradation in single-photon emission computed tomography (SPECT) images. Phantom data were used for NLD method optimization. The resultant optimal settings were used for NLD processing of clinical images.Materials and methods99mTc was used to simulate tumors and normal soft tissues. Using the data collected, images were reconstructed. Images were processed using various k values and iteration. The background region's coefficient of variation (CV) was determined, and the effects of parameters on image properties were examined. NLD-processed images with optimal parameters were compared with Butterworth (BW)-filtered and nine-point smoothing (SM)-processed images to evaluate smoothing filter properties in real and frequency space. Receiver operating characteristic curve analysis was carried out on NLD-processed and BW048-processed bone SPECT images.ResultsFrom CVs in background, with NLD, increased k value and iteration led to a low CV, indicating enhanced smoothing effect. At k=0.9, a strong noise-reducing effect with less iteration was achieved. Contrasts and recovery coefficients of NLD were the highest. The visual score for SPECT image quality was significantly higher with NLD than with BW048, BW090, and SM. In the low-frequency and high-frequency ranges, BW048, BW090, and NLD showed similar signal strengths and NLD and BW090 showed high signal strength, respectively. SM processing reduced the signal strength at all frequency ranges. On receiver operating characteristic analysis, noise reduction using NLD processing enhanced diagnostic performance than with the use of BW processing.ConclusionNLD processing of bone SPECT images using optimized parameters enabled smoothing with less resolution degradation.

Original languageEnglish
Pages (from-to)693-702
Number of pages10
JournalNuclear Medicine Communications
Volume40
Issue number7
DOIs
Publication statusPublished - 2019 Jul 1

Fingerprint

Single-Photon Emission-Computed Tomography
Noise
Bone and Bones
ROC Curve

Keywords

  • bone single-photon emission computed tomography
  • edge-preserving
  • noise reduction
  • nonlinear diffusion

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Evaluation of edge-preserving and noise-reducing effects using the nonlinear diffusion method in bone single-photon emission computed tomography. / Ito, Toshimune; Onoguchi, Masahisa; Ogata, Yuji; Matsusaka, Yoji; Shibutani, Takayuki.

In: Nuclear Medicine Communications, Vol. 40, No. 7, 01.07.2019, p. 693-702.

Research output: Contribution to journalArticle

@article{210257857544462da7f5b7568e0caff3,
title = "Evaluation of edge-preserving and noise-reducing effects using the nonlinear diffusion method in bone single-photon emission computed tomography",
abstract = "Objectives This study aims to evaluate nonlinear diffusion (NLD) processing to smoothen images while suppressing resolution degradation in single-photon emission computed tomography (SPECT) images. Phantom data were used for NLD method optimization. The resultant optimal settings were used for NLD processing of clinical images.Materials and methods99mTc was used to simulate tumors and normal soft tissues. Using the data collected, images were reconstructed. Images were processed using various k values and iteration. The background region's coefficient of variation (CV) was determined, and the effects of parameters on image properties were examined. NLD-processed images with optimal parameters were compared with Butterworth (BW)-filtered and nine-point smoothing (SM)-processed images to evaluate smoothing filter properties in real and frequency space. Receiver operating characteristic curve analysis was carried out on NLD-processed and BW048-processed bone SPECT images.ResultsFrom CVs in background, with NLD, increased k value and iteration led to a low CV, indicating enhanced smoothing effect. At k=0.9, a strong noise-reducing effect with less iteration was achieved. Contrasts and recovery coefficients of NLD were the highest. The visual score for SPECT image quality was significantly higher with NLD than with BW048, BW090, and SM. In the low-frequency and high-frequency ranges, BW048, BW090, and NLD showed similar signal strengths and NLD and BW090 showed high signal strength, respectively. SM processing reduced the signal strength at all frequency ranges. On receiver operating characteristic analysis, noise reduction using NLD processing enhanced diagnostic performance than with the use of BW processing.ConclusionNLD processing of bone SPECT images using optimized parameters enabled smoothing with less resolution degradation.",
keywords = "bone single-photon emission computed tomography, edge-preserving, noise reduction, nonlinear diffusion",
author = "Toshimune Ito and Masahisa Onoguchi and Yuji Ogata and Yoji Matsusaka and Takayuki Shibutani",
year = "2019",
month = "7",
day = "1",
doi = "10.1097/MNM.0000000000001028",
language = "English",
volume = "40",
pages = "693--702",
journal = "Nuclear Medicine Communications",
issn = "0143-3636",
publisher = "Lippincott Williams and Wilkins",
number = "7",

}

TY - JOUR

T1 - Evaluation of edge-preserving and noise-reducing effects using the nonlinear diffusion method in bone single-photon emission computed tomography

AU - Ito, Toshimune

AU - Onoguchi, Masahisa

AU - Ogata, Yuji

AU - Matsusaka, Yoji

AU - Shibutani, Takayuki

PY - 2019/7/1

Y1 - 2019/7/1

N2 - Objectives This study aims to evaluate nonlinear diffusion (NLD) processing to smoothen images while suppressing resolution degradation in single-photon emission computed tomography (SPECT) images. Phantom data were used for NLD method optimization. The resultant optimal settings were used for NLD processing of clinical images.Materials and methods99mTc was used to simulate tumors and normal soft tissues. Using the data collected, images were reconstructed. Images were processed using various k values and iteration. The background region's coefficient of variation (CV) was determined, and the effects of parameters on image properties were examined. NLD-processed images with optimal parameters were compared with Butterworth (BW)-filtered and nine-point smoothing (SM)-processed images to evaluate smoothing filter properties in real and frequency space. Receiver operating characteristic curve analysis was carried out on NLD-processed and BW048-processed bone SPECT images.ResultsFrom CVs in background, with NLD, increased k value and iteration led to a low CV, indicating enhanced smoothing effect. At k=0.9, a strong noise-reducing effect with less iteration was achieved. Contrasts and recovery coefficients of NLD were the highest. The visual score for SPECT image quality was significantly higher with NLD than with BW048, BW090, and SM. In the low-frequency and high-frequency ranges, BW048, BW090, and NLD showed similar signal strengths and NLD and BW090 showed high signal strength, respectively. SM processing reduced the signal strength at all frequency ranges. On receiver operating characteristic analysis, noise reduction using NLD processing enhanced diagnostic performance than with the use of BW processing.ConclusionNLD processing of bone SPECT images using optimized parameters enabled smoothing with less resolution degradation.

AB - Objectives This study aims to evaluate nonlinear diffusion (NLD) processing to smoothen images while suppressing resolution degradation in single-photon emission computed tomography (SPECT) images. Phantom data were used for NLD method optimization. The resultant optimal settings were used for NLD processing of clinical images.Materials and methods99mTc was used to simulate tumors and normal soft tissues. Using the data collected, images were reconstructed. Images were processed using various k values and iteration. The background region's coefficient of variation (CV) was determined, and the effects of parameters on image properties were examined. NLD-processed images with optimal parameters were compared with Butterworth (BW)-filtered and nine-point smoothing (SM)-processed images to evaluate smoothing filter properties in real and frequency space. Receiver operating characteristic curve analysis was carried out on NLD-processed and BW048-processed bone SPECT images.ResultsFrom CVs in background, with NLD, increased k value and iteration led to a low CV, indicating enhanced smoothing effect. At k=0.9, a strong noise-reducing effect with less iteration was achieved. Contrasts and recovery coefficients of NLD were the highest. The visual score for SPECT image quality was significantly higher with NLD than with BW048, BW090, and SM. In the low-frequency and high-frequency ranges, BW048, BW090, and NLD showed similar signal strengths and NLD and BW090 showed high signal strength, respectively. SM processing reduced the signal strength at all frequency ranges. On receiver operating characteristic analysis, noise reduction using NLD processing enhanced diagnostic performance than with the use of BW processing.ConclusionNLD processing of bone SPECT images using optimized parameters enabled smoothing with less resolution degradation.

KW - bone single-photon emission computed tomography

KW - edge-preserving

KW - noise reduction

KW - nonlinear diffusion

UR - http://www.scopus.com/inward/record.url?scp=85068043981&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068043981&partnerID=8YFLogxK

U2 - 10.1097/MNM.0000000000001028

DO - 10.1097/MNM.0000000000001028

M3 - Article

C2 - 31083012

AN - SCOPUS:85068043981

VL - 40

SP - 693

EP - 702

JO - Nuclear Medicine Communications

JF - Nuclear Medicine Communications

SN - 0143-3636

IS - 7

ER -