Vessel enhancement filter using directional filter bank

Truc, Phan Tran Ho; Khan, Md. Ashfaquzzaman; Lee, Young-Koo; Lee, Sungyoung; Kim, Tae‐Seong

doi:10.1016/j.cviu.2008.07.009

Cited by 118 publications

(80 citation statements)

References 34 publications

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“…In DFB, the directional images contain linear features in a narrow directional band. It is found from [18] that these directional images contain significantly less noise as compared to the original image. However, fixed block/scale is used to compute the gradients for local orientation among directional images which restricts its capability for noise suppression.…”

Section: Robust Orientation Estimationmentioning

confidence: 90%

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Boosting CED Using Robust Orientation Estimation

Khan¹,

Khan

Kong³

2014

IJMA

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Section: Robust Orientation Estimationmentioning

confidence: 90%

“…In order to compute more robust eigenvalues by using pre-computed orientation, we used the hessian matrix of directional image I1 in new coordinates, given by [18], as, …”

Section: Calculating Robust Eigenvaluesmentioning

confidence: 99%

Boosting CED Using Robust Orientation Estimation

Khan¹,

Khan

Kong³

2014

IJMA

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“…Hızla gelişen görüntüleme teknolojisi sayesinde, birçok hastalık gibi kalp hastalıklarının da erken tanısı yapılabilmektedir. Bu amaçla BT (Bilgisayarlı Tomografi) ya da anjiyografi görüntülerinden, koroner arterlerde meydana gelen daralma, tıkanıklık veya anevrizma gibi durumların önceden belirlenmesine yönelik birçok çalışma yapılmıştır [5][6]. Zhou ve arkadaşları yapmış oldukları bir çalışmada damarların yarı otomatik bölütlenmesine yönelik Gabor filtresi ve Hessian matris analizi yöntemlerini kullanmışlardır [7].…”

Section: Introductionunclassified

Koroner Arterlerin Bölütlenmesi Temelli Bir Karar Destek Sistemi

Selçuk¹,

Tekinalp²,

Alkan³

2016

KSU J. Eng. Sci.

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ÖZET: Kalbi besleyen koroner arterlerin anatomisinin bilinmesi kalp hastalıklarının tanısında büyük önem arz etmektedir. Koroner arterlerden sağ koroner arter (RCA), sol ana koroner arter (LMCA), sol ön inen arter (LAD) ve sirkumflex arter (Cx) veya alt dallardaki arterlerden birinde meydana gelebilecek bir tıkanmanın büyüklüğü tedavi yöntemi için önem arz etmektedir. Yapılan çalışmada koroner arterlerin bölütlenmesi temelli bir tanı destek sistemi oluşturulmuştur. Bu amaçla, kalp anjiyografi görüntülerine sayısal görüntü işleme teknikleri uygulanarak koroner arterlerde meydana gelen daralmanın yüzdesinin belirlenmesine yönelik bir yazılım geliştirilmiştir. Çalışma uzman kardiyolog gözetiminde gerçekleştirilmiş olup yazılımda elde edilen sonuçlar uzman doktorun elde ettiği sonuçlarla karşılaştırılmıştır. Beş görüntü için %5 ile %12 arasında geri kalanlar için ise %1 ile %5 arasında bir darlık yüzdeleri arasında farkı olduğu gözlemlenmiştir. Çalışmanın bölütleme başarımı ise ZSI (zijdenbos similarity index) başarım belirleme indeksine göre tespit edilmiştir. Elde edilen ZSI değerleri, literatürde oldukça başarılı sayılabilecek (%78-%91 arasında) değerlerdedir. Elde edilen bölütleme sonuçları, önerilen sistemin klinik ve araştırma çalışmalarında tanı destek aracı olarak kullanılabileceğini göstermiştir. Anahtar Kelimeler: Koroner arter, Görüntü işleme, AnjiyoplastiThe Segmentation of the Coronary Arteries Based Decision Support System ABSTRACT: The knowledge of the anatomy of the coronary arteries that feed the heart is of great importance in the diagnosis of heart diseases. Size of a blockage that can occur in right coronary artery (RCA), left main coronary artery (LMCA), left anterior descending artery (LAD) and circumflex artery (Cx) or the one of the arteries in the lower branches is very important for the treatment. In this study, coronary arteries segmentation based diagnostic support system was proposed. For this purpose, a software has been developed for determining the percentage of the contraction occurring in coronary arteries by applying digital image processing techniques to cardiac angiography images. The study has been carried out in the expert supervision of cardiologist and the obtained coronary arteries segmentation results were compared with the manually segmented by the cardiologist. The vascular stenosis ratio differences were observed between %5 to %12 for five images and 1% to 5% for the rest of the data. The segmentation succes of the study was determined by using ZSI (zijdenbos similarity index). The resulting ZSI values (between %78-%91) were between %78 and %91 that can be considered as a successful segmentation in the literature. Obtained segmentation results showed that the proposed system can be used as a diagnostic support tool in clinical and research studies.

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“…Unfortunately, the computational times were unrealistic in all those reported strategies. As an alternative, numerous studies have proposed extraction of the vessel structures only from angiographic images [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. In those studies, the centerlines were tracked or vessel regions were segmented from angiographic images.…”

Section: Introductionmentioning

confidence: 99%

Respiratory-synchronized digital subtraction angiography based on a respiratory phase matching method

Ohnishi

Takano

Kato

et al. 2017

SIViP

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Catheter-based therapy is typically performed under fluoroscopic image observation. However, the vessel structure cannot be visualized on fluoroscopic images. To overcome this limitation, angiographic images are captured with a contrast agent, and digital subtraction angiography (DSA) images are acquired during the intervention. In thoracoabdominal DSA, patients have to hold their breath to match the respiratory phase during DSA acquisition. However, breath holding is difficult for some patients, including the elderly. If the organs move during DSA acquisition, artifacts can occur on DSA images, and the DSA acquisition must be performed again. In the present study, we describe and characterize a new respiratory phase matching method for respiratory-synchronized DSA acquisition under natural respiration. Preoperative angiographic and intra-operative fluoroscopic images were collected under natural respiration during the operation. For each fluoroscopic image, we used a pattern matching to select an angiographic image in the most similar respiratory phase. We then examined whether the method could be applied to both the free breathing DSA and the respiratory-synchronized roadmap. We found that our proposed respiratory phase matching method produced acceptable DSA images without breath holding, and that the processing could be performed in real time. B Takashi Ohnishi

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Vessel enhancement filter using directional filter bank

Cited by 118 publications

References 34 publications

Boosting CED Using Robust Orientation Estimation

Boosting CED Using Robust Orientation Estimation

Koroner Arterlerin Bölütlenmesi Temelli Bir Karar Destek Sistemi

Respiratory-synchronized digital subtraction angiography based on a respiratory phase matching method

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